Motion artifact synthesis for research in biomedical signal quality analysis

Author:

Farago Emma,Chan Adrian D.C.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference40 articles.

1. Biosignal monitoring using wearables: observations and opportunities;Athavale;Biomed. Signal. Process. Control.,2017

2. Applications in ergonomics;Hägg,2004

3. Enhancing support for optimal muscle usage in sports: coaching and skill-improvement tracking with SEMG;Saisho;2019 Proceedings of the 23rd International Symposium on Wearable Computers (ISWC),2019

4. Market and patent analyses of wearables in medicine;Mück;Trends Biotechnol.,2019

5. Automated biosignal quality analysis for electromyography using a one-class support vector machine;Fraser;IEEE Trans. Instrum. Meas.,2014

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1. Electrocardiogram Removal to Establish a Motion Artifact Database;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24

2. A deep learning approach to cardiovascular disease classification using empirical mode decomposition for ECG feature extraction;Biomedical Signal Processing and Control;2023-01

3. A Review of Intelligent Garment System for Bioelectric Monitoring During Long-Lasting Intensive Sports;IEEE Access;2023

4. A Toolkit for Motion Artifact Signal Generation;2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2022-06-22

5. Automated Biomedical Signal Quality Assessment of Electromyograms: Current Challenges and Future Prospects;IEEE Instrumentation & Measurement Magazine;2022-02

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