A Novel Metric based on Bootstrapping Approach for sEMG Signal Quality Assessment Towards Robust Decoding of Lower Limb Locomotion
Author:
Affiliation:
1. Chinese Academy of Sciences (CAS) Key Laboratory of Human- Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology (SIAT), CAS, Shenzhen,Guangdong,China,518055
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10115317/10115301/10115305.pdf?arnumber=10115305
Reference22 articles.
1. Practical approaches to speech coding;papamichalis;PrenticeHall Inc,1987
2. SVM-Based Classification of sEMG Signals for Upper-Limb Self-Rehabilitation Training
3. Action Recognition of Lower Limbs Based on Surface Electromyography Weighted Feature Method
4. Analysis of Statistical Time-Domain Features Effectiveness in Identification of Bearing Faults From Vibration Signal
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