Challenges in wearable personal health monitoring systems

Insoo Kim, Po Hsiang Lai, Ryan Lobo, Bruce J. Gluckman

Research output: Contribution to journalArticlepeer-review

Abstract

Wearable sensors give the users convenience in daily health monitoring, though several challenges in such sensor systems should be overcome. This paper discusses the challenges in wearable health monitoring sensors and solutions for multi-modal and multi-functional wrist-worn devices based on novel circuit design techniques to reject DC offset. This paper also presents a novel sophisticated algorithm to reject motion artifacts. The system has the capability to simultaneously acquire several biomedical signals (i.e. electrocardiogram, PPG, and body-electrode impedance). The system can also help patients who want to monitor their psychological signals to mitigate health risks.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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