Key result
Recent research and current mobile health devices can be classified into four distinct system architectures based on required biosensing and data processing functions.
Why the study?
As biosensors for mobile health increasingly pair with smart devices, designing them with appropriate functionalities to work seamlessly with connected hardware and software is critical.
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Design
Review
This review provides a system architecture perspective on integrating biosensors into smartphone-based mobile health devices.
Advances in mobile biosensors, integrating developments in materials science and instrumentation, are fueling an expansion in health data being collected and analyzed in decentralized settings. For example, semiconductor-based sensors are enabling measurement of vital signs, and microfluidic-based sensors are enabling measurement of biochemical markers. As biosensors for mobile health are becoming increasingly paired with smart devices, it will become critical for researchers to design biosensors - with appropriate functionalities and specifications - to work seamlessly with accompanying connected hardware and software. This article describes recent research in biosensors, as well as current mobile health devices in use, as classified into four distinct system architectures that take into account the biosensing and data processing functions required in personal mobile health devices. We also discuss the path forward for integrating biosensors into smartphone-based mobile health devices.
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Arumugam et al. (2019) reported a review. Recent research and current mobile health devices can be classified into four distinct system architectures based on required biosensing and data processing functions.
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