Adaptive scheduling of acceleration and gyroscope for motion artifact cancelation in photoplethysmography

Author:

Lee HooseokORCID,Chung Heewon,Ko Hoon,Parisi Antonino,Busacca Alessandro,Faes Luca,Pernice RiccardoORCID,Lee JinseokORCID

Funder

Ministry of Trade, Industry and Energy

National Research Foundation of Korea

Ministero dell’Istruzione, dell’Università e della Ricerca

Ministry of Food and Drug Safety

Ministry of Science, ICT and Future Planning

Ministry of Health and Welfare

Korea Health Industry Development Institute

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference37 articles.

1. A deep transfer learning approach for wearable sleep stage classification with photoplethysmography;Radha;NPJ Digital Med.,2021

2. A review on wearable photoplethysmography sensors and their potential future applications in health care;Castaneda;Int. J. Biosens. Bioelectron.,2018

3. Dedicated cardiac rehabilitation wearable sensor and its clinical potential;Lee;PLoS One,2017

4. Wearable monitoring and interpretable machine learning can objectively track progression in patients during cardiac rehabilitation;De Cannière;Sensors,2020

5. Patient-provider interaction system for efficient home-based cardiac rehabilitation exercise;Chung;IEEE Access,2019

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