PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence

Authors: Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young D. Kwon, Dong Ma, Phuc Nguyen, Cecilia Mascolo, Tam Vu

Abstract

While the global healthcare market of wearable devices has been growing significantly in recent years and is predicted to reach $60 billion by 2028, many important healthcare applications such as seizure monitoring, drowsiness detection, etc. have not been deployed due to the limited battery lifetime, slow response rate, and inadequate biosignal quality.

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