Wearable In-Ear PPG: Detailed Respiratory Variations Enable Classification of COPD

Author:

Davies Harry J.1ORCID,Bachtiger Patrik2,Williams Ian3ORCID,Molyneaux Philip L.2,Peters Nicholas S.2,Mandic Danilo P.3ORCID

Affiliation:

1. Department of Electrical Engineering, Imperial College London, London, U.K.

2. Faculty of Medicine, Imperial College London, U.K.

3. Department of Electrical Engineering, Imperial College London, U.K.

Funder

Racing Foundation

MURI/EPSRC

MARVELS DoD

Dementia Research Institute at Imperial College London

Imperial Health Charity

Imperial Biomedical Research Centre of the National Institute of Health Research

British Heart Foundation

Pfizer Independent Grants

NHSX

Rosetrees Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Reference46 articles.

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The 2023 wearable photoplethysmography roadmap;Physiological Measurement;2023-11-01

2. EarPass: Continuous User Authentication with In-ear PPG;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

3. Data-Driven Personalized Care in Lung Cancer: Scoping Review and Clinical Recommendations on Performance Status and Activity Level of Patients With Lung Cancer Using Wearable Devices;JCO Clinical Cancer Informatics;2023-09

4. Rapid extraction of respiratory waveforms from photoplethysmography: A deep corr-encoder approach;Biomedical Signal Processing and Control;2023-08

5. Hearables: Heart Rate Variability from Ear Electrocardiogram and Ear Photoplethysmogram (Ear-ECG and Ear-PPG);2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

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