Multicenter Evaluation of Machine-Learning Continuous Pulse Rate Algorithm on Wrist-Worn Device.

Weixuan Chen¹, Rafael Cordero², Jessie Lever Taylor¹, Domenico R Pangallo², Rosalind W Picard^1,3, Marisa Cruz¹, Giulia Regalia²

¹Empatica Inc., Cambridge, MA, USA.

²Empatica Srl, Milan, Italy.

³MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.

PubMed PMC DOI PDF

Abstract

INTRODUCTION: Though wrist-worn photoplethysmography (PPG) sensors play an important role in long-term and continuous heart rhythm monitoring, signals measured at the wrist are contaminated by more intense motion artifacts compared to other body locations. Machine learning (ML)-based algorithms can improve long-term pulse rate (PR) tracking but are associated with more stringent regulatory require…

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