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Review
. 2021 Oct 4;11(10):372.
doi: 10.3390/bios11100372.

Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring

Shwetank Dattatraya Mamdiwar  1 , Akshith R  1 , Zainab Shakruwala  1 , Utkarsh Chadha  2 , Kathiravan Srinivasan  3 , Chuan-Yu Chang  4
Affiliations
Review

Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring

Shwetank Dattatraya Mamdiwar et al. Biosensors (Basel). .

Abstract

IoT has played an essential role in many industries over the last few decades. Recent advancements in the healthcare industry have made it possible to make healthcare accessible to more people and improve their overall health. The next step in healthcare is to integrate it with IoT-assisted wearable sensor systems seamlessly. This review rigorously discusses the various IoT architectures, different methods of data processing, transfer, and computing paradigms. It compiles various communication technologies and the devices commonly used in IoT-assisted wearable sensor systems and deals with its various applications in healthcare and their advantages to the world. A comparative analysis of all the wearable technology in healthcare is also discussed with tabulation of various research and technology. This review also analyses all the problems commonly faced in IoT-assisted wearable sensor systems and the specific issues that need to be tackled to optimize these systems in healthcare and describes the various future implementations that can be made to the architecture and the technology to improve the healthcare industry.

Keywords: Internet of Things; cloud systems; data processing; healthcare; healthcare monitoring; sensors; wearable devices.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
An outlook of IoT-assisted hospitals for healthcare monitoring.
Figure 2
Figure 2
Prisma flow diagram for the selection process of the research articles used in this review.
Figure 3
Figure 3
A brief overview of IoT-assisted wearable sensor systems for healthcare monitoring.
Figure 4
Figure 4
Data processing life cycle—IoT-assisted wearable sensor systems in healthcare.
Figure 5
Figure 5
Application of IoT-assisted wearable sensor systems in healthcare.
Figure 6
Figure 6
A brief overview of activity recognition methodology.
Figure 7
Figure 7
The algorithm used for stroke rehabilitation (recovery of motor controls).
Figure 8
Figure 8
Blood glucose monitoring methodology.
Figure 9
Figure 9
Sleep monitoring in real-time using WSN.
Figure 10
Figure 10
Blood pressure monitoring system.
Figure 11
Figure 11
Stress monitoring system.
Figure 12
Figure 12
Medical adherence methodology.
Figure 13
Figure 13
Open problems—IoT-assisted wearable sensor systems in healthcare.
Figure 14
Figure 14
Future opportunities—IoT-assisted wearable sensor systems in healthcare.
See this image and copyright information in PMC

References

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