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Arm and wrist surface potential mapping for wearable ECG rhythm recording devices: a pilot clinical study
WD Lynn,
OJ Escalona
, DJ McEneaney
School of Engineering
Faculty Of Computing, Eng. & Built Env.
Engineering Research
Nanotechnology & Integrated BioEngineering Centre (NIBEC)
Research output
:
Contribution to journal
›
Article
›
peer-review
25
Citations (Scopus)
Overview
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Nursing and Health Professions
Electrocardiogram
100%
Wearables
100%
Heart Rhythm
100%
Electrography
66%
Volunteer
33%
Electrocardiographic Lead
33%
Clinical Practice
33%
Averaging
33%
Body Surface Potential
33%
Heart Disease
33%
Signal Noise Ratio
33%
Irritant Agent
33%
Cardiac Monitoring
33%
Electrocardiograph
33%
QRS Complex
33%
Engineering
Surface Potential
100%
Body Surface
50%
Monitoring Device
50%
Signal-to-Noise Ratio
50%
Signal Averaging
50%
Motion Artifact
50%
Electrode Contact
50%
Skin Contact
50%
Averaging Technique
50%
Computer Science
Surface Potential
100%
Noise-to-Signal Ratio
50%
de-noising
50%
Signal Averaging
50%
Neuroscience
Signal-to-Noise Ratio
100%
QRS Complex
100%