Transformers for 1D Signals in Parkinson's Disease Detection from Gait. (arXiv:2204.00423v1 [cs.LG])

This paper focuses on the detection of Parkinson's disease based on the
analysis of a patient's gait. The growing popularity and success of Transformer
networks in natural language processing and image recognition motivated us to
develop a novel method for this problem based on an automatic features
extraction via Transformers. The use of Transformers in 1D signal is not really
widespread yet, but we show in this paper that they are effective in extracting
relevant features from 1D signals. As …

arxiv detection disease transformers