NDLI: Diagnostic grade wireless ECG monitoring

Content Provider	IEEE Xplore Digital Library
Author	Garudadri, Harinath Chi, Yuejie Baker, Steve Majumdar, Somdeb Baheti, Pawan K. Ballard, Dan
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, Princeton University, Princeton, NJ 08540 (Chi, Yuejie) \|\| Qualcomm Research Center, 5775 Morehouse Dr., San Diego, CA, USA 92121 (Garudadri, Harinath; Majumdar, Somdeb; Baheti, Pawan K.) \|\| Welch Allyn, 8500 SW Creekside Pl, Beaverton, OR, USA, 97008 (Baker, Steve; Ballard, Dan)
Abstract	In remote monitoring of Electrocardiogram (ECG), it is very important to ensure that the diagnostic integrity of signals is not compromised by sensing artifacts and channel errors. It is also important for the sensors to be extremely power efficient to enable wearable form factors and long battery life. We present an application of Compressive Sensing (CS) as an error mitigation scheme at the application layer for wearable, wireless sensors in diagnostic grade remote monitoring of ECG. In our previous work, we described an approach to mitigate errors due to packet losses by projecting ECG data to a random space and recovering a faithful representation using sparse reconstruction methods. Our contributions in this work are twofold. First, we present an efficient hardware implementation of random projection at the sensor. Second, we validate the diagnostic integrity of the reconstructed ECG after packet loss mitigation. We validate our approach on MIT and AHA databases comprising more than 250,000 normal and abnormal beats using EC57 protocols adopted by the Food and Drug Administration (FDA). We show that sensitivity and positive predictivity of a state-of-the-art ECG arrhythmia classifier is essentially invariant under CS based packet loss mitigation for both normal and abnormal beats even at high packet loss rates. In contrast, the performance degrades significantly in the absence of any error mitigation scheme, particularly for abnormal beats such as Ventricular Ectopic Beats (VEB).
Starting Page	850
Ending Page	855
File Size	816825
Page Count	6
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090194
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrocardiography Sensors Databases Receivers Sparse matrices Rhythm Wireless communication
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

ECG synthesis from separate wearable bipolar electrodes

Adaptive sensing of ECG signals using R-R interval prediction

A wireless ECG acquisition and classification system for body sensor networks

A WBAN based cableless ECG acquisition system

Wearable Patient Monitoring Application (ECG) using Wireless Sensor Networks

Wireless fabric patch sensors for wearable healthcare

Head ballistocardiogram based on wireless multi-location sensors

Noncontact ECG system for unobtrusive long-term monitoring

Monitoring activities of daily living based on wearable wireless body sensor network

Diagnostic grade wireless ECG monitoring

Similar Documents

ECG synthesis from separate wearable bipolar electrodes

Adaptive sensing of ECG signals using R-R interval prediction

A wireless ECG acquisition and classification system for body sensor networks

A WBAN based cableless ECG acquisition system

Wearable Patient Monitoring Application (ECG) using Wireless Sensor Networks

Wireless fabric patch sensors for wearable healthcare

Head ballistocardiogram based on wireless multi-location sensors

Noncontact ECG system for unobtrusive long-term monitoring

Monitoring activities of daily living based on wearable wireless body sensor network

Diagnostic grade wireless ECG monitoring