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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.
Research output
:
Contribution to journal
›
Article
›
peer-review
22
Citations (Scopus)
Overview
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Dive into the research topics of 'Arm and wrist surface potential mapping for wearable ECG rhythm recording devices: a pilot clinical study'. Together they form a unique fingerprint.
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Nursing and Health Professions
Devices
100%
Electrocardiogram
100%
Wearables
100%
Electrode
66%
database
66%
Lead
33%
Volunteer
33%
Procedures
33%
Monitor
33%
Standard
33%
Patient
33%
Sensor
33%
Electrocardiographic Lead
33%
Clinical Practice
33%
Averaging
33%
Engineering
Development
100%
Mapping
100%
Sensor
33%
Maps
33%
Body Surface
33%
Monitoring Device
33%
Longer Term
33%
Signal-to-Noise Ratio
33%
Motion Artifact
33%
Electrode Contact
33%
Skin Contact
33%
Averaging Technique
33%
Computer Science
Database
100%
Surface Potential
100%
Standards
50%
Noise-to-Signal Ratio
50%
de-noising
50%
Neuroscience
Signal-to-Noise Ratio
100%
Interference
100%
QRS Complex
100%