An Investigation into Mechanomyography for Signal Extraction and Classification of Human Lower Limb Activity
Yu Bai, Xiaorong Guan, Zheng Wang, Rui Zhang, Shi Cheng, Hui Bin Li
This paper uses FMD to isolate MMG signals from ACC data and develops a TCN-Attention model for classifying lower limb activities with 98.44% accuracy.
bioRxiv · Dec 1, 2024 · PreprintBioengineering