Optimizing the Cross-Day Performance of Electromyogram Biometric Decoder-Reference-Cited by-同舟云学术

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Optimizing the Cross-Day Performance of Electromyogram Biometric Decoder

Published:2023-03-01 Issue:5 Volume:10 Page:4388-4402
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Jiang Xinyu¹^ORCID,Meng Long¹^ORCID,Liu Xiangyu²,Fan Jiahao¹^ORCID,Ye Xinming³^ORCID,Dai Chenyun¹^ORCID,Chen Wei¹^ORCID

Affiliation:

1. Center for Intelligent Medical Electronics, School of Information Science and Technology, Fudan University, Shanghai, China

2. College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai, China

3. School of Sports Science and Engineering, East China University of Science and Technology, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Project

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10049212/09933820.pdf?arnumber=9933820

Reference42 articles.

1. Fetal heart rate estimation by non-invasive single abdominal electrocardiography in real clinical conditions

2. An Optimized Offline Random Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics

3. A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis

4. A decision tree approach to graph and subgraph isomorphism detection

5. The relationship between voluntary electromyogram, endurance time and intensity of effort in isometric handgrip exercise

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3. Optimizing the feature set and electrode configuration of high-density electromyogram via interpretable deep forest;Biomedical Signal Processing and Control;2024-01

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