Improving Photoplethysmographic Measurements Under Motion Artifacts Using Artificial Neural Network for Personal Healthcare-Reference-Cited by-同舟云学术

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Improving Photoplethysmographic Measurements Under Motion Artifacts Using Artificial Neural Network for Personal Healthcare

Published:2018-12 Issue:12 Volume:67 Page:2820-2829
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Singha Roy Monalisa,Gupta Rajarshi^ORCID,Chandra Jayanta K.,Das Sharma Kaushik,Talukdar Arunansu

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/8528255/08356704.pdf?arnumber=8356704

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1. An accurate tidal peak localization method in radial arterial pulse signals based on hybrid neural networks;Journal of Instrumentation;2024-08-01

2. A Residual U-Net Neural Network for Seismocardiogram Denoising and Analysis During Physical Activity;IEEE Journal of Biomedical and Health Informatics;2024-07

3. Vector-to-Vector Mapping with Stacked Gated Recurrent Units for Biosignal Enhancement;Circuits, Systems, and Signal Processing;2024-04-09

4. A reliable evaluation approach for multichannel signal denoising algorithms based on a novel arterial pulse acquisition system;Heliyon;2024-03

5. Synthesis of Photoplethysmograph Signals from Noises with Desired Heart and Respiration Rates;2024 IEEE 3rd International Conference on Control, Instrumentation, Energy & Communication (CIEC);2024-01-25

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