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Multimodal flexible sensor system toward telediagnosis.

Do Hoon Lee1, Kuniharu Takei1

  • 1Graduate School of Information Science and Technology, Hokkaido University.

Proceedings of the Japan Academy. Series B, Physical and Biological Sciences
|January 12, 2026
PubMed
Summary
This summary is machine-generated.

New noninvasive sensor patches and edge AI offer a promising home telediagnostic system. This innovation aims to improve patient quality of life and reduce healthcare burdens by enabling continuous health monitoring and autonomous feedback.

Keywords:
edge systemshealthcaremultimodal sensorstelediagnosiswearable devices

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Area of Science:

  • Biomedical Engineering
  • Health Informatics
  • Wearable Technology

Background:

  • Increasing life expectancy globally due to improved living standards, medical technology, and nutrition.
  • A growing disparity between life expectancy and healthy life expectancy necessitates advanced healthcare solutions.
  • Current healthcare systems face increasing burdens from an aging population requiring continuous medical care.

Purpose of the Study:

  • To review advancements in noninvasive, multimodal sensor patches for continuous vital sign and biomarker monitoring.
  • To explore the integration of machine learning (ML) for on-device data analysis in a telediagnostic system.
  • To assess the potential of edge computing for autonomous health feedback, reducing internet dependency.

Main Methods:

  • Review of recent research on skin-attachable, noninvasive sensor patches.
  • Exploration of machine learning algorithms for real-time, edge-based data processing.
  • Analysis of system architectures for autonomous health monitoring and feedback.

Main Results:

  • Development of multimodal sensor patches capable of continuous, noninvasive monitoring of physiological data.
  • Integration of edge AI for real-time, on-device analysis of monitored health data.
  • Demonstration of potential for autonomous health feedback systems independent of internet connectivity.

Conclusions:

  • Home-use telediagnostic systems utilizing advanced sensor patches and edge AI can significantly improve patient quality of life.
  • These systems offer a potential solution to reduce the burden on healthcare providers and clinicians.
  • Further technical development is required for widespread practical implementation, but the innovations signal a paradigm shift in healthcare delivery.