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Body Sensors and Electrocardiography 1st ed. 2018 [Pehme köide]

  • Formaat: Paperback / softback, 122 pages, kõrgus x laius: 235x155 mm, kaal: 2175 g, 48 Illustrations, black and white; XIV, 122 p. 48 illus., 1 Paperback / softback
  • Sari: SpringerBriefs in Applied Sciences and Technology
  • Ilmumisaeg: 21-Jul-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319593382
  • ISBN-13: 9783319593388
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  • Formaat: Paperback / softback, 122 pages, kõrgus x laius: 235x155 mm, kaal: 2175 g, 48 Illustrations, black and white; XIV, 122 p. 48 illus., 1 Paperback / softback
  • Sari: SpringerBriefs in Applied Sciences and Technology
  • Ilmumisaeg: 21-Jul-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319593382
  • ISBN-13: 9783319593388
This monograph presents a comprehensive overview of the electrocardiography from the aspect of wireless and mobile monitoring and its potential for personalized health management. The topical focus is on the implementation and efficient application of user friendly m-Health systems. The target audience comprises biomedical engineers, medical doctors, students, industrial experts and health managers developing m-Health solutions.

Introduction.- From multichannel ECG to wireless body sensors.- Software for an mHealth system.- ECG pilot studies.- Lead theory of differential leads and synthesis of the standard 12-lead ECG.- Commercial ECG systems.- Final remarks and conclusions.
1 Introduction
1(12)
1.1 Historical Evolution of Electrocardiography
1(2)
1.2 Motivation and Goals
3(2)
1.3 ECG Basics
5(3)
1.4 Differential Lead
8(3)
1.5 Book Summary by
Chapters
11(2)
References
12(1)
2 From Multichannel ECG to Wireless Body Sensors
13(24)
2.1 Multichannel ECG
13(3)
2.2 Body Surface Maps
16(2)
2.3 Wireless Body Sensor
18(8)
2.3.1 Prerequisites for Body Sensor Design
18(2)
2.3.2 Positioning of an ECG Body Sensor
20(5)
2.3.3 Multiple Body Sensors
25(1)
2.4 Multi-functionality of Body Sensors
26(11)
2.4.1 Muscular Activity
27(2)
2.4.2 Respiration Derived from ECG
29(1)
2.4.3 Activity Detection
30(1)
2.4.4 Data Fusion for More reliable diagnoses
31(2)
References
33(4)
3 Software for an mHealth System
37(24)
3.1 Hardware Infrastructure
37(2)
3.2 Software
39(1)
3.3 mHealth Requirements
39(4)
3.3.1 Healthcare Requirements
40(1)
3.3.2 Smartphone Application
40(3)
3.4 An Example of an ECG Monitoring System
43(1)
3.5 Smartphone Application Challenges
44(7)
3.5.1 Transmission of Measured Data to the Smartphone
46(1)
3.5.2 Synchronization of Clocks
46(1)
3.5.3 Storage of Measurements
47(2)
3.5.4 Detection of Heartbeats
49(2)
3.6 Example Algorithms
51(10)
3.6.1 Filtering
52(1)
3.6.2 Extrema Extraction
53(1)
3.6.3 Spike Likelihood Estimation
53(1)
3.6.4 Peak Detection
54(1)
3.6.5 Noise Estimator
55(1)
3.6.6 Heart Rate Calculation
56(2)
References
58(3)
4 ECG Pilot Studies
61(16)
4.1 Motivation
61(1)
4.2 Atrial Fibrillation After Cardiac Surgery---A Study at the University Medical Centre Ljubljana
62(1)
4.2.1 Participation in the Study
63(1)
4.2.2 Procedures
63(1)
4.3 Heart Rhythm Screening---A Study at the Community Health Centre Ljubljana
63(2)
4.3.1 Participation in the Study
64(1)
4.3.2 Procedures
64(1)
4.3.3 Simulation Center
65(1)
4.4 Visual Examination of the ECG Recordings
65(2)
4.5 Long-Term ECG Data and New Knowledge
67(1)
4.6 Sensor ECG Examples
68(9)
4.6.1 Extranodal Pacemakers
68(2)
4.6.2 Atrio-Ventricular Block in an Athlete During Sleep
70(2)
4.6.3 Atrial Flutter During a 20-Day ECG Measurement
72(2)
References
74(3)
5 Lead Theory of Differential Leads and Synthesis of the Standard 12-Lead ECG
77(24)
5.1 Preconditions
77(1)
5.2 Dipole as a Volume Source Model
78(2)
5.3 Lead Vector
80(5)
5.3.1 The Burger's Equation
82(2)
5.3.2 Deriving the Lead Vectors from a Known Heart Vector
84(1)
5.3.3 Deriving the Heart Vector from Known Lead Vectors
84(1)
5.4 Image Surface
85(1)
5.5 Lead Field
86(5)
5.6 Lead System Design---Differential Lead Positioning
91(1)
5.7 ECG Leads Synthesis from Three Measured Leads---General Considerations
92(2)
5.7.1 Correctness of the Dipole Volume Source Model
94(1)
5.8 Overview of Methods for the Synthesis of the 12-Lead ECG
94(1)
5.9 Synthesis Evaluation
95(1)
5.10 Synthesis Personalization
95(6)
References
98(3)
6 Commercial ECG Systems
101(14)
6.1 Advances in ECG Monitoring Supported by ICT
101(4)
6.1.1 ECG Services in Sports and Entertainment
101(1)
6.1.2 Medical ECG Devices
102(3)
6.2 Differential ECG Wireless Body Sensors
105(10)
6.2.1 Savvy Sensor
107(1)
6.2.2 Comparison of the Savvy Sensor with Related ECG Sensors
108(5)
References
113(2)
7 Final Remarks and Conclusions
115(6)
7.1 Book Recapitulation
115(1)
7.2 Challenges in Long-Term ECG Analytics
116(2)
7.3 mHealth Perspectives
118(3)
Index 121