Wearable Medical Sensor-Based System Design: A Survey

Arsalan Mosenia, Susmita Sur-Kolay, Anand Raghunathan, Niraj K. Jha

Research output: Contribution to journalArticlepeer-review

106 Scopus citations


Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the scientific community and the industry. Driven by technological advances in sensing, wireless communication, and machine learning, WMS-based systems have begun transforming our daily lives. Although WMSs were initially developed to enable low-cost solutions for continuous health monitoring, the applications of WMS-based systems now range far beyond health care. Several research efforts have proposed the use of such systems in diverse application domains, e.g., education, human-computer interaction, and security. Even though the number of such research studies has grown drastically in the last few years, the potential challenges associated with their design, development, and implementation are neither well-studied nor well-recognized. This article discusses various services, applications, and systems that have been developed based on WMSs and sheds light on their design goals and challenges. We first provide a brief history of WMSs and discuss how their market is growing. We then discuss the scope of applications of WMS-based systems. Next, we describe the architecture of a typical WMS-based system and the components that constitute such a system, and their limitations. Thereafter, we suggest a list of desirable design goals that WMS-based systems should satisfy. Finally, we discuss various research directions related to WMSs and how previous research studies have attempted to address the limitations of the components used in WMS-based systems and satisfy the desirable design goals.

Original languageEnglish (US)
Article number7870697
Pages (from-to)124-138
Number of pages15
JournalIEEE Transactions on Multi-Scale Computing Systems
Issue number2
StatePublished - Apr 1 2017

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Hardware and Architecture


  • Education
  • health care
  • human-computer interaction
  • machine learning
  • security
  • wearable medical sensor
  • wireless communication


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