Test Date Job Number Referring Site

Size: px
Start display at page:

Download "Test Date Job Number Referring Site"

Transcription

1 hr Holter Analysis ECG On-Demand Black Barn, Cornwells Farm Sheephurst Lane, Marden Kent T S Details Patient ame Patient umber Patient D.O.B. Jane Smith // ( Years) Test Date Job umber Referring Site // : Medical Centre Cardiology Advice Red Serious ECG abnormality observed. On the basis of available information and ECG, urgent action is required. This means urgent discussion with cardiologist and/or referral to hospital. Report Duration of monitoring: h min Recorder type: EC-H (xxxxxxx) Type of beats: ormal: SES: (.%) ES: (.%) Sinus rhythm with paroxysmal atrial fibrillation (.% burden) and profound pauses (longest:.s in ). The minimum heart rate was. The maximum heart rate was bpm (P). The longest pause was. seconds ( in total). Atrial fibrillation was detected in.% of the total monitoring time (exact onset unclear due to artifact). entricular results: There were a total of (.%) polymorphic ventricular beats. These comprised (.%) single beats, (.%) couplets and triplet. Supraventricular results: There were a total of (.%) single supraventricular beats. o patient symptoms noted Tape marked as red due to profound pauses (longest:.s) Reporter Ashley Ashdown Cardiac Physiologist // :: This service is intended to assist healthcare professionals in the diagnosis and management of their patients. We are unable to provide advice directly to patients. If you would like to discuss this report further, please do not hesitate to call me on + () or cardiology@technomed.co.uk Reference #: HS Page of Kind Regards Ashley Ashdown Copyright Technomed Ltd

2 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Trends [bpm] HR [bpm] [ms] QT [ms] [ms] QTc [ms] [ms] PQ [ms] [ms] QRS [ms] Atrial Fibr.:.% [ms] Intervals [ms]

3 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Ectopic Trends ( / ) [Count] E [/min] CPL [/min] RU [/min] TCH [/min] BIG [/min] ESC [/min] episodes by length [Count] [Count] [Count] [Count] [Count] [ episodes] < [ episode length]

4 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Ectopic Trends ( / ) SE [/min] SCPL [/min] SRU [/min] STCH [/min] [/min] S episodes by length [Count] [Count] [Count] [Count] [Count] [S episodes] < [S episode length]

5 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Events ( / ) Time [h] Hours HR [bpm] E CPL RU TCH onsust. TCH Sustained TCH BIG TRIG ESC Longest TCH Fastest TCH SE /A /A SCPL SRU STCH STRIG onsust. STCH Sustained STCH Longest STCH Fastest STCH max RR min RR max min max Avg HR min Avg HR max ms ms ms ms ms bpm bpm /A /A ms ms ms ms ms bpm bpm Atrial Fibrillation. % ST min -. mm on -. mm ST max. mm on. mm QT min QT max QTc min QTc max ms ms ms ms Tachycardia. % rhythm. % S rhythm. % Bradycardia. % bradycardia. % S bradycardia. %

6 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Events ( / ) Atrial Paced Beats entricular Paced Beats Dual Paced Beats Failure to sense Failure to capture Marked by patient Selected Samples entr HR End s.s pa ma o entr entr Appro Supra entr Supra Blood Pressure Atrial Flutter. % A I. % A II M. % A II M. % A III. % Time [h] Hours

7 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Selected Samples ( / ) Time: :: entricular ectopic BIG mm/s mm/m HR: bpm Time: :: entricular triplet mm/s mm/m HR: bpm Time: :: entricular triplet RU mm/s mm/m HR: bpm

8 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Selected Samples ( / ) Time: :: entricular triplet mm/s mm/m HR: bpm Time: :: s pause mm/s mm/m HR: bpm Time: :: s pause mm/s mm/m HR: bpm

9 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Selected Samples ( / ) Time: :: s pause mm/s mm/m HR: bpm Time: :: HR max mm/s mm/m HR: bpm Time: ::.s pause mm/s mm/m HR: bpm

10 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Selected Samples ( / ) Time: ::.s pause CPL mm/s mm/m HR: bpm Time: :: E.s pause mm/s mm/m HR: bpm Time: :: CPL End of P mm/s mm/m HR: bpm E

11 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Selected Samples ( / ) Time: :: End of P mm/s mm/m HR: bpm ED Time: :: End of P mm/s mm/m HR: bpm ED Time: :: entricular couplet CPL mm/s mm/m HR: bpm E

12 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Selected Samples ( / ) Time: :: entricular couplet CPL mm/s mm/m HR: bpm Time: :: (.s) mm/s mm/m HR: bpm Time: :: Approx HR min mm/s mm/m HR: bpm

13 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Selected Samples ( / ) Time: :: Supraventricular ectopic S SE mm/s mm/m HR: bpm Time: :: Supraventricular ectopic S SE mm/s mm/m HR: bpm Time: :: (.s) mm/s mm/m HR: bpm

14 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Selected Samples ( / ) Time: :: entricular ectopic E mm/s mm/m HR: bpm Time: :: entricular ectopics BIG mm/s mm/m HR: bpm Time: :: Supraventricular ectopic S SE mm/s mm/m HR: bpm Time HR Comment :: :: :: entricular ectopic entricular triplet s pause

15 PC SW/E:... /... Monitoring start: // : AM Monitoring end: // : AM Page: Selected Samples ( / ) Time HR Comment :: :: :: :: :: :: :: :: :: :: :: :: :: HR max.s pause End of P entricular couplet entricular couplet (.s) Approx HR min Supraventricular ectopic Supraventricular ectopic (.s) entricular ectopic entricular ectopics Supraventricular ectopic

Prediction of Paroxysmal Atrial Fibrillation (PAF) Onset through Analysis of Inter-beat Intervals (IBI)

Prediction of Paroxysmal Atrial Fibrillation (PAF) Onset through Analysis of Inter-beat Intervals (IBI) Prediction of Paroxysmal Atrial Fibrillation (PAF) Onset through Analysis of Inter-beat Intervals (IBI) By Charles Q. Du Submitted to the Department of Electrical Engineering and Computer Science In Partial

More information

Automated P-Wave Quality Assessment for Wearable Sensors

Automated P-Wave Quality Assessment for Wearable Sensors proceedings Proceedings Automated P-Wave Quality Assessment for Wearable Sensors Diogo Tecelão 1, * and Peter H. Charlton 2 1 Departamento de Física, Faculdade de Ciências e Tecnologia da Universidade

More information

NOVEL TECHNIQUES FOR CARDIAC ARRHYTHMIA DETECTION

NOVEL TECHNIQUES FOR CARDIAC ARRHYTHMIA DETECTION NOVEL TECHNIQUES FOR CARDIAC ARRHYTHMIA DETECTION By Eng. Mohamed Ibrahim Ismail Owis Systems and Biomedical Engineering Department Faculty of Engineering, Cairo University A Thesis Submitted to the Faculty

More information

Kamran Ghalili, M.D. Rosamund Irwin, M.D.

Kamran Ghalili, M.D. Rosamund Irwin, M.D. Giffen, Todd Michael (29 yrs [3/13/1985]) Sex.M Procedure Notes Procedures filed by Ghalili, Kamran, MD at 10/08/08 1228 Author: Ghalili, Kamran, MD Service: (none) Author Physician Type: Filed: 10/08/08

More information

JC: You want to see self-organization at work? Test each part of the circuit one by one. You ll see that the whole is more than the sum of its parts

JC: You want to see self-organization at work? Test each part of the circuit one by one. You ll see that the whole is more than the sum of its parts Translating Biological Complex Systems into Cross-Disciplinary Models: A Case Study of the Behavior of the Human Heart Using Van der Pol Oscillations Christina Cogdell & Paul Reichers PHY 256A Winter 2012

More information

A comprehensive model using modified Zeeman model for generating ECG signals

A comprehensive model using modified Zeeman model for generating ECG signals A comprehensive model using modified Zeeman model for generating ECG signals A Ayatollahi, N Jafarnia Dabanloo, DC McLernon, V Johari Majd, H Zhang Abstract: Developing a mathematical model for the artificial

More information

Modelling Heart Rate Variability

Modelling Heart Rate Variability Modelling Heart Rate Variability P. Laguna and L. Sörnmo Introduction The study of heart rate variability (HRV) has become increasingly popular because information on the state of the autonomic nervous

More information

CHAPTER 3 FEATURE EXTRACTION USING GENETIC ALGORITHM BASED PRINCIPAL COMPONENT ANALYSIS

CHAPTER 3 FEATURE EXTRACTION USING GENETIC ALGORITHM BASED PRINCIPAL COMPONENT ANALYSIS 46 CHAPTER 3 FEATURE EXTRACTION USING GENETIC ALGORITHM BASED PRINCIPAL COMPONENT ANALYSIS 3.1 INTRODUCTION Cardiac beat classification is a key process in the detection of myocardial ischemic episodes

More information

Cairns Hospital: Suspected Acute Coronary Syndrome Pathways. DO NOT USE if a non cardiac cause for the chest pain can be diagnosed

Cairns Hospital: Suspected Acute Coronary Syndrome Pathways. DO NOT USE if a non cardiac cause for the chest pain can be diagnosed Cairns Hospital: Suspected Acute Coronary Syndrome Pathways DO NOT USE if a non cardiac cause for the chest pain can be diagnosed Clinical pathways never replace clinical judgement. Care outlined on this

More information

Physiology Coloring Book: Panels 29, 32, 33,

Physiology Coloring Book: Panels 29, 32, 33, ELEC4623/ELEC9734: Semester 2, 2009 Dr Stephen Redmond School of Electrical Engineering & Telecommunications Email: s.redmond@unsw.edu.au Ph: 9385 6101 Rm: 458, ELECENG (G17) Physiology Coloring Book:

More information

GLR-Entropy Model for ECG Arrhythmia Detection

GLR-Entropy Model for ECG Arrhythmia Detection , pp.363-370 http://dx.doi.org/0.4257/ijca.204.7.2.32 GLR-Entropy Model for ECG Arrhythmia Detection M. Ali Majidi and H. SadoghiYazdi,2 Department of Computer Engineering, Ferdowsi University of Mashhad,

More information

c 2005 MAIKO ARICHI ALL RIGHTS RESERVED

c 2005 MAIKO ARICHI ALL RIGHTS RESERVED c 25 MAIKO ARICHI ALL RIGHTS RESERVED MONITORING ISCHEMIC CHANGES IN ELECTROCARDIOGRAMS USING DICKINSON-STEIGLITZ DISCRETE HERMITE FUNCTIONS A Thesis Presented to The Graduate Faculty of The University

More information

ASYMMETRIC DETRENDED FLUCTUATION ANALYSIS REVEALS ASYMMETRY IN THE RR INTERVALS TIME SERIES

ASYMMETRIC DETRENDED FLUCTUATION ANALYSIS REVEALS ASYMMETRY IN THE RR INTERVALS TIME SERIES Journal of Applied Mathematics and Computational Mechanics 2016, 15(1), 99-106 www.amcm.pcz.pl p-issn 2299-9965 DOI: 10.17512/jamcm.2016.1.10 e-issn 2353-0588 ASYMMETRIC DETRENDED FLUCTUATION ANALYSIS

More information

Detection of Heart Rate Turbulence Using an Extended IPFM Model

Detection of Heart Rate Turbulence Using an Extended IPFM Model Detection of Heart Rate Turbulence Using an Extended IPFM Model Solem, Kristian; Laguna, Pablo; Sörnmo, Leif Published in: [Host publication title missing] Published: 26-1-1 Link to publication Citation

More information

A Comparison of HRV Techniques: The Lomb Periodogram versus The Smoothed Pseudo Wigner-Ville Distribution

A Comparison of HRV Techniques: The Lomb Periodogram versus The Smoothed Pseudo Wigner-Ville Distribution A Comparison of HRV Techniques: The Lomb Periodogram versus The Smoothed Pseudo Wigner-Ville Distribution By: Mark Ebden Submitted to: Prof. Lionel Tarassenko Date: 19 November, 2002 (Revised 20 November)

More information

A unifying optimization approach of Mobitz- and Wenckebach-type cardiac blocks. Bachelorarbeit

A unifying optimization approach of Mobitz- and Wenckebach-type cardiac blocks. Bachelorarbeit A unifying optimization approach of Mobitz- and Wenckebach-type cardiac blocks An der Fakultät für Mathematik der Otto-von-Guericke-Universität Magdeburg zur Erlangung des akademischen Grades Bachelor

More information

Time-Frequency and. Point Process Algorithms for. Cardiac Arrhythmia Analysis. and Cardiorespiratory Control

Time-Frequency and. Point Process Algorithms for. Cardiac Arrhythmia Analysis. and Cardiorespiratory Control Time-Frequency and Point Process Algorithms for Cardiac Arrhythmia Analysis and Cardiorespiratory Control Sandun V. W. Kodituwakku B.E. (Hon 1), The University of Adelaide May 2012 A thesis submitted for

More information

PROBLEM SET 3. SOLUTIONS February 26, 2004

PROBLEM SET 3. SOLUTIONS February 26, 2004 Harvard-MIT Division of Health Sciences and Technology HST.542J: Quantitative Physiology: Organ Transport Systems Instructors: Roger Mark and Jose Venegas MASSACHUSETTS INSTITUTE OF TECHNOLOGY Departments

More information

Sample Entropy based HRV: Effect of ECG Sampling Frequency

Sample Entropy based HRV: Effect of ECG Sampling Frequency Biomedical Science and Engineering, 2014, Vol. 2, No. 3, 68-72 Available online at http://pubs.sciepub.com/bse/2/3/3 Science and Education Publishing DOI:10.12691/bse-2-3-3 Sample Entropy based HRV: Effect

More information

arxiv: v2 [physics.data-an] 28 Apr 2017

arxiv: v2 [physics.data-an] 28 Apr 2017 Single-lead f-wave extraction using diffusion geometry arxiv:1702.08638v2 [physics.data-an] 28 Apr 2017 John Malik 1, Neil Reed 1, Chun-Li Wang 2,3, Hau-tieng Wu 1,4 1 Department of Mathematics, University

More information

A robust method for diagnosis of morphological arrhythmias based on Hermitian model of higherorder

A robust method for diagnosis of morphological arrhythmias based on Hermitian model of higherorder RESEARCH Open Access A robust method for diagnosis of morphological arrhythmias based on Hermitian model of higherorder statistics Saeed Karimifard 1,2 and Alireza Ahmadian 1,2* * Correspondence: ahmadian@sina.

More information

Pearson Edexcel GCSE Physics Unit P3: Applications of Physics

Pearson Edexcel GCSE Physics Unit P3: Applications of Physics Write your name here Surname Other names Pearson Edexcel GCSE Centre Number Physics Unit P3: Applications of Physics Friday 24 June 2016 Morning Time: 1 hour You must have: Calculator, ruler Candidate

More information

RECOVERING THE PRECISE HEART RATE FROM SPARSELY SAMPLED ELECTROCARDIOGRAMS

RECOVERING THE PRECISE HEART RATE FROM SPARSELY SAMPLED ELECTROCARDIOGRAMS RECOVERING THE PRECISE HEART RATE FROM SPARSELY SAMPLED ELECTROCARDIOGRAMS Piotr Augustyniak AGH Technical University, Institute of Automatics 1 Al. Mickiewicza 30, 30-059 Kraków, POLAND e_mail: august@biocyb.ia.agh.edu.pl

More information

Analyzing Employee s Heart rate using Nonlinear Cellular Automata model

Analyzing Employee s Heart rate using Nonlinear Cellular Automata model IOSR Journal of Mathematics (IOSR-JM) e-issn: 2278-5728,p-ISSN: 2319-765X, Volume 6, Issue 2 (Mar. - Apr. 2013), PP 20-35 Analyzing Employee s Heart rate using Nonlinear Cellular Automata model N. Gururajan

More information

PUBLISHED VERSION PERMISSIONS.

PUBLISHED VERSION PERMISSIONS. PUBLISHED VERSION Zebrowski, J. J.; Grudzinski, K.; Buchner, T.; Kuklik, Pawel; Gac, J.; Gielerak, G.; Sanders, Prashanthan; Baranowski, R. Nonlinear oscillator model reproducing various phenomena in the

More information

Research Article Identification of Premature Ventricular Cycles of Electrocardiogram Using Discrete Cosine Transform-Teager Energy Operator Model

Research Article Identification of Premature Ventricular Cycles of Electrocardiogram Using Discrete Cosine Transform-Teager Energy Operator Model Journal of Medical Engineering Volume 25, Article ID 438569, 9 pages http://dx.doi.org/.55/25/438569 Research Article Identification of Premature Ventricular Cycles of Electrocardiogram Using Discrete

More information

Entropy-Based Algorithm to Detect Life Threatening Cardiac Arrhythmias Using Raw Electrocardiogram Signals

Entropy-Based Algorithm to Detect Life Threatening Cardiac Arrhythmias Using Raw Electrocardiogram Signals Middle-East Journal of Scientific Research 2 (): 43-42, 22 ISSN 99-9233 IDOSI Publications, 22 DOI:.5829/idosi.mejsr.22.2..8 Entropy-Based Algorithm to Detect Life Threatening Cardiac Arrhythmias Using

More information

Neuro-ANFIS Architecture for ECG Rhythm-Type Recognition Using Different QRS Geometrical-based Features

Neuro-ANFIS Architecture for ECG Rhythm-Type Recognition Using Different QRS Geometrical-based Features Neuro-ANFIS Architecture for ECG Rhythm-Type Recognition Using Different QRS Geometrical-based Features M. R. Homaeinezhad 1, 2, E. Tavakkoli 1, 2, A. Afshar, 2, 3,S. Abbas Atyabi 2, 3, A. Ghaffari 1,

More information

Classification of ECG Signals Using Legendre Moments

Classification of ECG Signals Using Legendre Moments International Journal of Bioinformatics and Biomedical Engineering Vol. 1, No. 3, 2015, pp. 284-291 http://www.aiscience.org/journal/ijbbe Classification of ECG Signals Using Legendre Moments Irshad Khalil

More information

Quantitative Verification of Implantable Cardiac Pacemakers

Quantitative Verification of Implantable Cardiac Pacemakers 2012 IEEE 33rd Real-Time Systems Symposium Quantitative Verification of Implantable Cardiac Pacemakers Taolue Chen Marco Diciolla Marta Kwiatkowska Alexandru Mereacre Department of Computer Science, University

More information

SYNCHRONIZATION PROBLEM OF THE COUPLED MODIFIED VAN DER POL EQUATIONS IN A MODEL OF THE HEART ACTION

SYNCHRONIZATION PROBLEM OF THE COUPLED MODIFIED VAN DER POL EQUATIONS IN A MODEL OF THE HEART ACTION ISBN 978-83-942807-7-2 PORTAL CZM 2015 SYNCHRONIZATION PROBLEM OF THE COUPLED MODIFIED VAN DER POL EQUATIONS IN A MODEL OF THE HEART ACTION BEATA JACKOWSKA-ZDUNIAK ABSTRACT. In this paper, modified van

More information

Motion Artefacts Modelling in the Application of a Wireless Electrocardiogram

Motion Artefacts Modelling in the Application of a Wireless Electrocardiogram Motion Artefacts Modelling in the Application of a Wireless Electrocardiogram Waltenegus Dargie 1 Abstract Wireless electrocardiograms can be useful for a wide range of applications including early detection

More information

Pacemaker s Functional Behaviors in Event-B. [Research

Pacemaker s Functional Behaviors in Event-B. [Research Pacemaker s Functional Behaviors in Event-B Dominique Méry, Neeraj Kumar Singh To cite this version: Dominique Méry, Neeraj Kumar Singh. Report] 2009. Pacemaker s Functional Behaviors

More information

ECG Noise Filtering Using Online Model-Based Bayesian Filtering Techniques

ECG Noise Filtering Using Online Model-Based Bayesian Filtering Techniques ECG Noise Filtering Using Online Model-Based Bayesian Filtering Techniques by Aron Su A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Master

More information

Assessing Catheter Contact in Radiofrequency Cardiac Ablation Using Complex Impedance

Assessing Catheter Contact in Radiofrequency Cardiac Ablation Using Complex Impedance Assessing Catheter Contact in Radiofrequency Cardiac Ablation Using Complex Impedance Neal P. Gallagher a, Israel J. Byrd b, Elise C. Fear a, Edward J. Vigmond a a Dept. Electrical and Computer Engineering,

More information

BIOE 110: Biomedical Physiology for Engineers Spring 2013 Midterm I Solutions Key

BIOE 110: Biomedical Physiology for Engineers Spring 2013 Midterm I Solutions Key BIOE 110: Biomedical Physiology for Engineers Spring 2013 Midterm I Solutions Key QUESTION 1 Consider a chamber (at 25 C) consisting of two 1L solutions of mannose (MW 180 g/mol) separated by a semipermeable

More information

International Journal of Computing and Business Research (IJCBR) ISSN (Online) : APPLICATION OF GIS IN HEALTHCARE MANAGEMENT

International Journal of Computing and Business Research (IJCBR) ISSN (Online) : APPLICATION OF GIS IN HEALTHCARE MANAGEMENT International Journal of Computing and Business Research (IJCBR) ISSN (Online) : 2229-6166 Volume 3 Issue 2 May 2012 APPLICATION OF GIS IN HEALTHCARE MANAGEMENT Dr. Ram Shukla, Faculty (Operations Area),

More information

Chapter 18. Sampling Distribution Models. Bin Zou STAT 141 University of Alberta Winter / 10

Chapter 18. Sampling Distribution Models. Bin Zou STAT 141 University of Alberta Winter / 10 Chapter 18 Sampling Distribution Models Bin Zou (bzou@ualberta.ca) STAT 141 University of Alberta Winter 2015 1 / 10 Population VS Sample Example 18.1 Suppose a total of 10,000 patients in a hospital and

More information

Exponential Biometrics: How Quantum Computing Will Revolutionize Health Tracking

Exponential Biometrics: How Quantum Computing Will Revolutionize Health Tracking How Quantum Computing Will August 2017 At Omnicom Health Group, we believe that current technologies such as biometric sensors have the ability to revolutionize patient care and diagnosis when they re

More information

Introduction to time-frequency analysis Centre for Doctoral Training in Healthcare Innovation

Introduction to time-frequency analysis Centre for Doctoral Training in Healthcare Innovation Introduction to time-frequency analysis Centre for Doctoral Training in Healthcare Innovation Dr. Gari D. Clifford, University Lecturer & Director, Centre for Doctoral Training in Healthcare Innovation,

More information

6.10. ELECTROCARDIOGRAPHY: RECORDING AND ANALYSIS

6.10. ELECTROCARDIOGRAPHY: RECORDING AND ANALYSIS 6.10. ELECTROCARDIOGRAPHY: RECORDING AND ANALYSIS Purpose of experiment: To record and print an electrocardiogram (ECG). To examine electrical parameters of a recorded ECG. Theoretical topics Membrane

More information

A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts

A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts technologies Article A Low-Complexity Model-Free Approach for Real-Time Cardiac Anomaly Detection Based on Singular Spectrum Analysis and Nonparametric Control Charts Michael Lang D Graduate School of

More information

Universal structures of normal and pathological heart rate variability (Supplemental Information)

Universal structures of normal and pathological heart rate variability (Supplemental Information) Universal structures of normal and pathological heart rate variability (Supplemental Information) Alfonso M. Gañán-Calvo 1, Juan Fajardo-López 2 1 Depto. de Ingeniería Aeroespacial y Mecánica de Fluidos,

More information

What is Nonlinear Dynamics? HRV 2006: Techniques, Applications, and New Directions. Daniel Kaplan Macalester College Saint Paul, Minnesota

What is Nonlinear Dynamics? HRV 2006: Techniques, Applications, and New Directions. Daniel Kaplan Macalester College Saint Paul, Minnesota What is Nonlinear Dynamics? HRV 2006: Techniques, Applications, and New Directions Daniel Kaplan Macalester College Saint Paul, Minnesota Dynamics and Complexity Historically Simple systems generate simple

More information

EGD (Upper Endoscopy)

EGD (Upper Endoscopy) Gastroenterology EGD (Upper Endoscopy) REMINDER FOR: ON THE DAY OF YOUR PROCEDURE Bring a list of all your medications (over-the-counter and prescription) You must have a driver to take you home following

More information

Complejidad. Geofisica Biologí a. MacroEconomía. Meteorología Ecología. Psicologia. Dante R. Chialvo

Complejidad. Geofisica Biologí a. MacroEconomía. Meteorología Ecología. Psicologia. Dante R. Chialvo Complejidad Geofisica Biologí a MacroEconomía Meteorología Ecología Psicologia Dante R. Chialvo Email: dchialvo@ucla.edu www.chialvo.net La estadistica que aprendimos describe la uniformidad (gaussianas)

More information

Independence and symbolic independence of nonstationary heartbeat series during atrial fibrillation

Independence and symbolic independence of nonstationary heartbeat series during atrial fibrillation Independence and symbolic independence of nonstationary heartbeat series during atrial fibrillation Camillo Cammarota Enrico Rogora December 22, 2004 Abstract Heartbeat intervals during atrial fibrillation

More information

DYNAMIC ANALYSIS OF THE CORRELATION INTEGRAL OF HEART RATE VARIABILITY IN HYPERTROPHIC CARDIOMYOPATHY PATIENTS

DYNAMIC ANALYSIS OF THE CORRELATION INTEGRAL OF HEART RATE VARIABILITY IN HYPERTROPHIC CARDIOMYOPATHY PATIENTS of DYNAMIC ANALYSIS OF THE CORRELATION INTEGRAL OF HEART RATE VARIABILITY IN HYPERTROPHIC CARDIOMYOPATHY PATIENTS R. Carvajal,2, M. Vallverdú, J.J. Zebrowski 3, R. Baranowski, L. Chojnowska, P. Caminal

More information

A Predictive System for Patient-Specific ECG Classification Using Nonlinear Transformation

A Predictive System for Patient-Specific ECG Classification Using Nonlinear Transformation A Predictive System for Patient-Specific ECG Classification Using Nonlinear Transformation Jiaming Chen 1 and Abolfazl Razi 2 Abstract In this paper, a novel predictive modeling is proposed to predict

More information

arxiv:physics/ v1 [physics.med-ph] 8 Jan 2003

arxiv:physics/ v1 [physics.med-ph] 8 Jan 2003 arxiv:physics/0301011v1 [physics.med-ph] 8 Jan 2003 Spectral Statistics of RR Intervals in ECG Mladen MARTINIS, Vesna MIKUTA-MARTINIS, Andrea KNEŽEVIĆ, and Josip ČRNUGELJ Division of Theoretical Physics

More information

Electrophysiological Modeling of Membranes and Cells

Electrophysiological Modeling of Membranes and Cells Bioeng 6460 Electrophysiology and Bioelectricity Electrophysiological Modeling of Membranes and Cells Frank B. Sachse fs@cvrti.utah.edu Overview Recapitulation Electrical Modeling of Membranes Cardiac

More information

Unit P3: Applications of Physics

Unit P3: Applications of Physics Write your name here Surname Other names Pearson Edexcel GCSE Centre Number Physics Unit P3: Applications of Physics Friday 19 June 2015 Morning Time: 1 hour You must have: Calculator, ruler Candidate

More information

CALIFORNIA STATE UNIVERSITY, NORTHRIDGE. Cardiac Cells. For the degree of Master of Science in Physics. Gonzalo Hernandez Hernandez

CALIFORNIA STATE UNIVERSITY, NORTHRIDGE. Cardiac Cells. For the degree of Master of Science in Physics. Gonzalo Hernandez Hernandez CALIFORNIA STATE UNIVERSITY, NORTHRIDGE Role of Network Connectivity and Fluctuations in the Nucleation of Calcium Waves in Cardiac Cells A thesis submitted in partial fulfillment of the requirements For

More information

congestive heart failure Hh,02.50.Ey, y,05.40.Fb

congestive heart failure Hh,02.50.Ey, y,05.40.Fb congestive heart failure. 87.19.Hh,02.50.Ey,05.20.-y,05.40.Fb Typeset using REVTEX 2 This paper deals with an advanced aspect of statistical mechanics whose recent demonstration [1] is proven here to afford

More information

EIGENVALUE BASED ALTERNANS PREDICTION AND THE EFFECTS OF HEART RATE VARIABILITY ON ALTERNANS FORMATION

EIGENVALUE BASED ALTERNANS PREDICTION AND THE EFFECTS OF HEART RATE VARIABILITY ON ALTERNANS FORMATION EIGENVALUE BASED ALTERNANS PREDICTION AND THE EFFECTS OF HEART RATE VARIABILITY ON ALTERNANS FORMATION A Thesis SUBMITTED TO THE FACULTY OF UNIVERSITY OF MINNESOTA BY VIRENDRA VILAS KAKADE IN PARTIAL FULFILLMENT

More information

Low-Income African American Women's Perceptions of Primary Care Physician Weight Loss Counseling: A Positive Deviance Study

Low-Income African American Women's Perceptions of Primary Care Physician Weight Loss Counseling: A Positive Deviance Study Thomas Jefferson University Jefferson Digital Commons Master of Public Health Thesis and Capstone Presentations Jefferson College of Population Health 6-25-2015 Low-Income African American Women's Perceptions

More information

BEFORE THE ARKANSAS WORKERS' COMPENSATION COMMISSION CLAIM NO. F J. B. HUNT TRANSPORT, INC. RESPONDENT

BEFORE THE ARKANSAS WORKERS' COMPENSATION COMMISSION CLAIM NO. F J. B. HUNT TRANSPORT, INC. RESPONDENT BEFORE THE ARKANSAS WORKERS' COMPENSATION COMMISSION CLAIM NO. F705856 MICHAEL CURRY CLAIMANT J. B. HUNT TRANSPORT, INC. RESPONDENT NEW HAMPSHIRE INSURANCE COMPANY, INSURANCE CARRIER RESPONDENT OPINION

More information

Basic mechanisms of arrhythmogenesis and antiarrhythmia

Basic mechanisms of arrhythmogenesis and antiarrhythmia EHRA EDUCATIONAL REVIEW AND PREPARATORY COURSE ON INVASIVE CARDIAC ELECTROPHYSIOLOGY EUROPEAN HEART HOUSE, February 2011 Basic mechanisms of arrhythmogenesis and antiarrhythmia Antonio Zaza Università

More information

Investigations of Cardiac Rhythm Fluctuation Using the DFA Method

Investigations of Cardiac Rhythm Fluctuation Using the DFA Method Investigations of Cardiac Rhythm Fluctuation Using the DFA Method Slabu Lavinia, Negoita Catalina, Sandu Anca, Amariei Liviu, Corduneanu Constantin, Prof. Dr. Ioan Grosu University of Medicine and Pharmacy

More information

Heartbeats Arrhythmia Classification Using Probabilistic Multi-Class Support Vector Machines: A Comparative Study

Heartbeats Arrhythmia Classification Using Probabilistic Multi-Class Support Vector Machines: A Comparative Study Heartbeats Arrhythmia Classification Using Probabilistic Multi-Class Support Vector Machines: A Comparative Study M. Hendel SIMPA Laboratory, Department of Computer Science, Faculty of Science, University

More information

ECG/VCG Rhythm Diagnosis Using Statistical Signal Analysis-11. Identification of Transient Rhythms

ECG/VCG Rhythm Diagnosis Using Statistical Signal Analysis-11. Identification of Transient Rhythms 353 for the Aeromedical Consultation Service, the USAF Central Electrocardiographic Library and for the clinical research program related to fitness for aerospace duties in all areas. He is author/co-author

More information

Important ECG diagnosis aiding indices of ventricular septal defect children with or without congestive heart failure

Important ECG diagnosis aiding indices of ventricular septal defect children with or without congestive heart failure Important ECG diagnosis aiding indices of ventricular septal defect children with or without congestive heart failure Meihui Guo and Mong-Na Lo Huang Dept. of Applied Mathematics, National Sun Yat-sen

More information

i-stat ctni Performance Verification vs. ABBOTT AxSYM

i-stat ctni Performance Verification vs. ABBOTT AxSYM Report #1 i-stat ctni Performance Verification vs. ABBOTT AxSYM i-stat Corporation - 1 Summary of Evaluation Study Results Correlation Slope Note 1 with comparative assay for [ctni]

More information

The difference-sign runs length distribution in testing for serial independence

The difference-sign runs length distribution in testing for serial independence The difference-sign runs length distribution in testing for serial independence Camillo Cammarota Dept. of Mathematics, University of Rome La Sapienza, P.le A. Moro 2, 0085, Rome, Italy Abstract We investigate

More information

Agenda for Today. Elements of Physics II. Capacitors Parallel-plate. Charging of capacitors

Agenda for Today. Elements of Physics II. Capacitors Parallel-plate. Charging of capacitors Capacitors Parallel-plate Physics 132: Lecture e 7 Elements of Physics II Charging of capacitors Agenda for Today Combinations of capacitors Energy stored in a capacitor Dielectrics in capacitors Physics

More information

Technical Report: Abstraction-Tree For Closedloop Model Checking of Medical Devices

Technical Report: Abstraction-Tree For Closedloop Model Checking of Medical Devices University of Pennsylvania ScholarlyCommons Real-Time and Embedded Systems Lab (mlab) School of Engineering and Applied Science 5-6-2015 Technical Report: Abstraction-Tree For Closedloop Model Checking

More information

i-stat ctni Performance Verification

i-stat ctni Performance Verification Report #1 i-stat ctni Performance Verification vs. IMMULITE TURBO DPC i-stat Corporation - 1 Summary of Evaluation Study Results Correlation Slope Note 1 with comparative assay for all ctni data 0.32 Critical

More information

Ahsan Habib Khandoker Chandan Karmakar Michael Brennan Andreas Voss Marimuthu Palaniswami. Poincaré Plot Methods for Heart Rate Variability Analysis

Ahsan Habib Khandoker Chandan Karmakar Michael Brennan Andreas Voss Marimuthu Palaniswami. Poincaré Plot Methods for Heart Rate Variability Analysis Ahsan Habib Khandoker Chandan Karmakar Michael Brennan Andreas Voss Marimuthu Palaniswami Poincaré Plot Methods for Heart Rate Variability Analysis Poincaré Plot Methods for Heart Rate Variability Analysis

More information

Modular Program Report

Modular Program Report Modular Program Report Disclaimer The following report(s) provides findings from an FDA initiated query using Sentinel. While Sentinel queries may be undertaken to assess potential medical product safety

More information

Cardiac Control Entropy: Changes in complexity of HR signal can be transient or sustained

Cardiac Control Entropy: Changes in complexity of HR signal can be transient or sustained Cardiac Control Entropy: Changes in complexity of HR signal can be transient or sustained Stephen J. McGregor 1, Erik M. Bollt 2, Joe Skufca 2, Melvyn Rubenfire 3 1 School of Health and Human Performance,

More information

Complex systems method approach to the ECG analysis

Complex systems method approach to the ECG analysis International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-2, Issue-11, November 2014 Complex systems method approach to the ECG analysis Dode Prenga, Erarda Vuka Abstract-Q-statistics

More information

Entropy in the natural time domain

Entropy in the natural time domain PHYSICAL REVIEW E 70, 011106 (2004) Entropy in the natural time domain P. A. Varotsos, 1,2, *. V. Sarlis, 1 E. S. Sordas, 2 and M. S. Lazaridou 2 1 Solid State Section, Physics Department, University of

More information

i-stat ctni Performance Verification vs. J&J Vitros ECi

i-stat ctni Performance Verification vs. J&J Vitros ECi Report #1 i-stat ctni Performance Verification vs. J&J Vitros ECi i-stat Corporation - 1 - Summary of Evaluation Study Results Correlation Slope Note 1 with comparative assay for [ctni]

More information

Information-Based Similarity Index

Information-Based Similarity Index Information-Based Similarity Index Albert C.-C. Yang, Ary L Goldberger, C.-K. Peng This document can also be read on-line at http://physionet.org/physiotools/ibs/doc/. The most recent version of the software

More information

Strands & Standards MEDICAL MATH

Strands & Standards MEDICAL MATH Strands & Standards MEDICAL MATH COURSE DESCRIPTION An instructional program that prepares students with skills to compute mathematical equations related to healthcare. The course integrates medical-physiological

More information

Chapter 3. Data Analysis

Chapter 3. Data Analysis Chapter 3 Data Analysis CHAPTER 3 DATA ANALYSIS The Heart Rate Variability (HRV) data profiles from a number of healthy, cardiac diseased (AF and CHF) subjects, and non-cardiac diseased subjects such as

More information

ACCORDING to the World Health Organisation. Classification of Human Ventricular Arrhythmia in High Dimensional Representation Spaces

ACCORDING to the World Health Organisation. Classification of Human Ventricular Arrhythmia in High Dimensional Representation Spaces Classification of Human Ventricular Arrhythmia in High Dimensional Representation Spaces Yaqub Alwan, Zoran Cvetković, Senior Member, IEEE, Michael J. Curtis arxiv:32.34v2 [cs.ce] 28 Jul 24 Abstract We

More information

Heart rate control and variability

Heart rate control and variability Heart rate control and variability Na (Lina) Li (CDS13 ) EE @ SEAS Harvard University CDS @ 20 The persistent mystery Young, fit, healthy more extreme Resting Heart Rate (bpm) 60 0 50 100 150 200 250 300

More information

ROLE OF BIDOMAIN MODEL OF CARDIAC TISSUE IN THE DYNAMICS OF PHASE SINGULARITIES

ROLE OF BIDOMAIN MODEL OF CARDIAC TISSUE IN THE DYNAMICS OF PHASE SINGULARITIES ROLE OF BIDOMAIN MODEL OF CARDIAC TISSUE IN THE DYNAMICS OF PHASE SINGULARITIES Jianfeng Lv Submitted to the faculty of the University Graduate School in partial fulfillment of the requirement for the

More information

Nonlinear Versatile Tools for Heart Rate Variability Prediction anddiagnosis

Nonlinear Versatile Tools for Heart Rate Variability Prediction anddiagnosis International Journal of Research in Engineering and Science (IJRES) ISSN (Online): 2320-9364, ISSN (Print): 2320-9356 Volume 4 Issue 10 ǁ October. 2016 ǁ PP.08-19 Nonlinear Versatile Tools for Heart Rate

More information

First and Second Order Training Algorithms for Artificial Neural Networks to Detect the Cardiac State

First and Second Order Training Algorithms for Artificial Neural Networks to Detect the Cardiac State First Second Order Training Algorithms for Artificial Neural Networks to Detect the Cardiac State Sanjit K. Dash Department of ECE Raajdhani Engineering College, Bhubaneswar, Odisha, India G. Sasibhushana

More information

Phone number: When and how did your pain begin? (a date is required for Medicare and some insurance policies) Date of onset:

Phone number: When and how did your pain begin? (a date is required for Medicare and some insurance policies) Date of onset: C H I R O P R A C T I C O R T H O P E D I C S A N D R E H A B I L I T A T I O N ILJXAi Pain Relief Clinics Please complete all sections. Full Name: Nickname: Gender: M F Age: Race: Date of Birth: I I Family

More information

Mixing Dynamics of Heart Rate Variability

Mixing Dynamics of Heart Rate Variability Mixing Dynamics of Heart Rate Variability Fariba riaei *, Edmond Jonckheere and Ronald Berger ** *,** Dept. of Medicine, The Johns Hopkins Univ., School of Medicine, Baltimore, MD, Dept. of Electrical

More information

Intracardiac Electrogram Transformation

Intracardiac Electrogram Transformation 124 Journal of Electrocardiology Vol. 29 Supplement Intracardiac Electrogram Transformation Morphometric Implications for Implantable Devices Milton M. Morris, MSE, Janice M. Jenkins, PhD, and Lorenzo

More information

Complex temporal patterns of spontaneous initiation and termination of reentry in a loop of cardiac tissue

Complex temporal patterns of spontaneous initiation and termination of reentry in a loop of cardiac tissue University of Richmond UR Scholarship Repository Math and Computer Science Faculty Publications Math and Computer Science 2008 Complex temporal patterns of spontaneous initiation and termination of reentry

More information

CARDIAC METASTASIS MASQUERADE AS STEMI D R S R E E K A N T H K O D U R

CARDIAC METASTASIS MASQUERADE AS STEMI D R S R E E K A N T H K O D U R CARDIAC METASTASIS MASQUERADE AS STEMI D R S R E E K A N T H K O D U R MR OR, 68 YRS Smoker No prior cardiac hx Lives near Muswellbrook area Called ambulance 3 am Atypical chest pain Life net ecg transmitted

More information

Scroll Waves in Anisotropic Excitable Media with Application to the Heart. Sima Setayeshgar Department of Physics Indiana University

Scroll Waves in Anisotropic Excitable Media with Application to the Heart. Sima Setayeshgar Department of Physics Indiana University Scroll Waves in Anisotropic Excitable Media with Application to the Heart Sima Setayeshgar Department of Physics Indiana University KITP Cardiac Dynamics Mini-Program 1 Stripes, Spots and Scrolls KITP

More information

polycardiographic measurements1

polycardiographic measurements1 British Heart J7ournal, 1978, 40, 1344-1348 Effects of recording speed on precision of time-based polycardiographic measurements1 Optimal paper speeds for measuring points and intervals DAVID H. SPODICK,

More information

Multiple Mechanisms of Spiral Wave Breakup in a Model of Cardiac Electrical Activity

Multiple Mechanisms of Spiral Wave Breakup in a Model of Cardiac Electrical Activity Multiple Mechanisms of Spiral Wave Breakup in a Model of Cardiac Electrical Activity Flavio H. Fenton and Elizabeth M. Cherry Center for Arrhythmia Research at Hofstra University and The Heart Institute,

More information

SZILÁGYI Sándor Miklós

SZILÁGYI Sándor Miklós SZILÁGYI Sándor Miklós Producția ştiințifică TOTAL PUNCTE 9, Categoria A,00 Categoria B,00 Categoria C, Lucrări categoria A + (/) + (/) + (/) = puncte curent A.0. A.0. A.0. A.0. A.0. A.0. A.07. Lucrare

More information

Chapter 17. Current and Resistance

Chapter 17. Current and Resistance Chapter 17 Current and Resistance Electric Current The current is the rate at which the charge flows through a surface Look at the charges flowing perpendicularly through a surface of area A I av The SI

More information

For more information about how to cite these materials visit

For more information about how to cite these materials visit Author(s): Kerby Shedden, Ph.D., 2010 License: Unless otherwise noted, this material is made available under the terms of the Creative Commons Attribution Share Alike 3.0 License: http://creativecommons.org/licenses/by-sa/3.0/

More information

Sample file. Page 1 of 18. Copyright 2013 A+ Interactive MATH (an A+ TutorSoft Inc. company), All Rights Reserved.

Sample file.   Page 1 of 18. Copyright 2013 A+ Interactive MATH (an A+ TutorSoft Inc. company), All Rights Reserved. www.aplustutorsoft.com Page 1 of 18 Telling Time to the Quarter-hour Lesson, Worksheet & Solution Guide Release 7 A+ Interactive Math (By A+ TutorSoft, Inc.) Email: info@aplustutorsoft.com www.aplustutorsoft.com

More information

Synthesising robust and optimal parameters for cardiac pacemakers using symbolic and evolutionary computation techniques

Synthesising robust and optimal parameters for cardiac pacemakers using symbolic and evolutionary computation techniques Synthesising robust and optimal parameters for cardiac pacemakers using symbolic and evolutionary computation techniques Marta Kwiatkowska 1, Alexandru Mereacre 1, Nicola Paoletti 1, and Andrea Patanè

More information

PK-QT analysis of bedaquiline : Bedaquiline appears to antagonize its main metabolite s QTcF interval prolonging effect

PK-QT analysis of bedaquiline : Bedaquiline appears to antagonize its main metabolite s QTcF interval prolonging effect PK-QT analysis of bedaquiline : Bedaquiline appears to antagonize its main metabolite s QTcF interval prolonging effect Lénaïg Tanneau 1, Elin Svensson 1,2, Stefaan Rossenu 3, Mats Karlsson 1 1 Department

More information

JENAER SCHRIFTEN MATHEMATIK UND INFORMATIK

JENAER SCHRIFTEN MATHEMATIK UND INFORMATIK FRIEDRICH-SCHILLER- UNIVERSITÄT JENA JENAER SCHRIFTEN ZUR MATHEMATIK UND INFORMATIK Eingang : 23..25 Math/Inf//5 Als Manuskript gedruckt Entropy Estimation Methods in HRV Analysis of Patients with Myocardial

More information

Chapter 17 Current and Resistance

Chapter 17 Current and Resistance Chapter 17 Current and Resistance Current Practical applications were based on static electricity. A steady source of electric current allowed scientists to learn how to control the flow of electric charges

More information

3-dimensional simulation of long QT syndrome: early afterdepolarizations and reentry Ray Huffaker, Boris Kogan

3-dimensional simulation of long QT syndrome: early afterdepolarizations and reentry Ray Huffaker, Boris Kogan 3-dimensional simulation of long QT syndrome: early afterdepolarizations and reentry Ray Huffaker, Boris Kogan Abstract Early afterdepolarizations (EADs), thought to be highly arrhythmogenic in the case

More information

Supplementary Appendix

Supplementary Appendix Supplementary Appendix This appendix has been provided by the authors to give readers additional information about their work. Supplement to: Russo RJ, Costa HS, Silva PD, et al. Assessing the risks associated

More information

Poincaré Plots in Analysis of Selected Biomedical Signals

Poincaré Plots in Analysis of Selected Biomedical Signals STUDIES IN LOGIC, GRAMMAR AND RHETORIC 35(48) 2013 DOI: 10.2478/slgr-2013-0031 Poincaré Plots in Analysis of Selected Biomedical Signals AgnieszkaKitlasGolińska 1 1 DepartmentofMedicalInformatics,UniversityofBialystok,Poland

More information