Untact Abnormal Heartbeat Wave Detection Using Non-Contact Sensor through Transfer Learning

Untact Abnormal Heartbeat Wave Detection Using Non-Contact Sensor through Transfer Learning

This paper presents an important advancement in heart activity monitoring, focusing on non-contact sensor data, which tend to be noisy due to interference, and the limitations of non-contact (untact) technology. A preprocessing filter and optimal classification model are proposed to improve the accu...

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Bibliographic Details
Main Authors: Jin-Soo Kim, Kangyoon Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Abnormal detection
classification model
heartbeat waveform
heart rate
non-contact sensor
preprocessing filter algorithm
Online Access:https://ieeexplore.ieee.org/document/9281034/

Internet

https://ieeexplore.ieee.org/document/9281034/

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