Deep Learning Approach for Extracting Heart Rate Variability from a Photoplethysmographic Signal

Deep Learning Approach for Extracting Heart Rate Variability from a Photoplethysmographic Signal

Photoplethysmography (PPG) is a method to detect blood volume changes in every heartbeat. The peaks in the PPG signal corresponds to the electrical impulses sent by the heart. The duration between each heartbeat varies, and these variances are better known as heart rate variability (HRV). Thus, find...

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Bibliographic Details
Main Authors: Odinsdottir, Gudny Björk, Larsson, Jesper
Format: Others
Language:English
Published: Högskolan Kristianstad, Fakulteten för naturvetenskap 2020
Subjects:
Heart rate variability
photoplethysmograpic signal
human activity recognition
deep learning approach
recurrent neural network
long short-term memory network
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21368

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21368

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