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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Ulster

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Output 21 of 71 in the submission

Article title

Eigenleads: ECG Leads for Maximizing Information Capture and Improving SNR

Type

D - Journal article

DOI

10.1109/TITB.2009.2022933

Title of journal

IEEE Transactions on Information Technology in Biomedicine

Article number

Volume number

Issue number

First page of article

ISSN of journal

1089-7771

Year of publication

2010

URL

Number of additional authors

Additional information

Collaborative work with Prof Lux (University of Utah) and part supported through ESRC project “Design for Ageing Well” (RES/353/25/0004) and the DEL-Cross-Border R&D Programme, we use multivariate analysis to develop the concept of "eigenleads" and to determine their optimal location. We observe an increase of up to 39% in ECG segment signal strength thus opening the door to smart textile based pervasive ECG monitoring.

Interdisciplinary

Yes

Cross-referral requested

Research group

B - Functional Materials & Devices

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract