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Proceedings Paper

Smartphone home monitoring of ECG
Author(s): Harold Szu; Charles Hsu; Gyu Moon; Joseph Landa; Hiroshi Nakajima; Yutaka Hata
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Paper Abstract

A system of ambulatory, halter, electrocardiography (ECG) monitoring system has already been commercially available for recording and transmitting heartbeats data by the Internet. However, it enjoys the confidence with a reservation and thus a limited market penetration, our system was targeting at aging global villagers having an increasingly biomedical wellness (BMW) homecare needs, not hospital related BMI (biomedical illness). It was designed within SWaP-C (Size, Weight, and Power, Cost) using 3 innovative modules: (i) Smart Electrode (lowpower mixed signal embedded with modern compressive sensing and nanotechnology to improve the electrodes' contact impedance); (ii) Learnable Database (in terms of adaptive wavelets transform QRST feature extraction, Sequential Query Relational database allowing home care monitoring retrievable Aided Target Recognition); (iii) Smartphone (touch screen interface, powerful computation capability, caretaker reporting with GPI, ID, and patient panic button for programmable emergence procedure). It can provide a supplementary home screening system for the post or the pre-diagnosis care at home with a build-in database searchable with the time, the place, and the degree of urgency happened, using in-situ screening.

Paper Details

Date Published: 15 May 2012
PDF: 10 pages
Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 84010L (15 May 2012); doi: 10.1117/12.923579
Show Author Affiliations
Harold Szu, The Catholic Univ. of America (United States)
Charles Hsu, Trident Systems Inc. (United States)
Gyu Moon, Hallym Univ. (Korea, Republic of)
Joseph Landa, BriarTek, Inc. (United States)
Hiroshi Nakajima, OMRON Corp. (Japan)
Yutaka Hata, Univ. of Hyogo (Japan)

Published in SPIE Proceedings Vol. 8401:
Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X
Harold Szu, Editor(s)

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