PulseNet: Multi-task learning-based non-contact pulse condition diagnosis using multi-scale fusion and transformer-Reference-Cited by-同舟云学术

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PulseNet: Multi-task learning-based non-contact pulse condition diagnosis using multi-scale fusion and transformer

Published:2024-10 Issue: Volume:302 Page:112333
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhao Zhi-hui^ORCID,Zhou Yi,Zhang Song,Chen Shuai,Wen Chuan-biao,Xu Qiang^ORCID,Li Wei-hong

Publisher

Elsevier BV

Reference52 articles.

1. Wrist pulse signal acquisition and analysis for disease diagnosis: A review;Guo;Comput. Biol. Med.,2022

2. Traditional Chinese medicine wrist pulse-taking is associated with pulse waveform analysis and hemodynamics in hypertension;de Moura;J. Integr. Med.,2016

3. A wearable and real-time pulse wave monitoring system based on a flexible compound sensor;Kang;Biosensors,2022

4. Spatiotemporal measurement of arterial pulse waves enabled by wearable active-matrix pressure sensor arrays;Baek;ACS Nano,2021

5. A robust wrist pulse acquisition system based on multisensor collaboration and signal quality assessment;Jiang;IEEE Trans. Instrum. Meas.,2019

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