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. 2023 Mar 27;13(1):4998.
doi: 10.1038/s41598-022-26951-z.

Reshaping healthcare with wearable biosensors

Aaron Asael Smith  1 , Rui Li  2 , Zion Tsz Ho Tse  3
Affiliations

Reshaping healthcare with wearable biosensors

Aaron Asael Smith et al. Sci Rep. .

Abstract

Wearable health sensors could monitor the wearer's health and surrounding environment in real-time. With the development of sensor and operating system hardware technology, the functions of wearable devices have been gradually enriched with more diversified forms and more accurate physiological indicators. These sensors are moving towards high precision, continuity, and comfort, making great contributions to improving personalized health care. At the same time, in the context of the rapid development of the Internet of Things, the ubiquitous regulatory capabilities have been released. Some sensor chips are equipped with data readout and signal conditioning circuits, and a wireless communication module for transmitting data to computer equipment. At the same time, for data analysis of wearable health sensors, most companies use artificial neural networks (ANN). In addition, artificial neural networks could help users effectively get relevant health feedback. Through the physiological response of the human body, various sensors worn could effectively transmit data to the control unit, which analyzes the data and provides feedback of the health value to the user through the computer. This is the working principle of wearable sensors for health. This article focuses on wearable biosensors used for healthcare monitoring in different situations, as well as the development, technology, business, ethics, and future of wearable sensors for health monitoring.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Schematic diagram of a remote health monitoring system based on wearable sensors. Data on physical health is collected through the sensors worn and transmitted to healthcare workers through networked devices. Healthcare workers can use this data to take an action.
Figure 2
Figure 2
Application principles and categorical examples of wearable biosensors.
Figure 3
Figure 3
Flexible epidermal bio-microfluidic blood glucose continuous monitoring sensor. (A) Proposed device. (B) The detailed structure of integrated epidermal biological microfluidic device. (C) Flexible glucose detection patch. (D) Temperature control component. (E) Glucose detection patch structure. (F) Working mechanism of integrated flexible epidermal biological microfluidic device.
Figure 4
Figure 4
Epidermal iontophoretic biosensor.
Figure 5
Figure 5
Tear-based wearable biosensors.
Figure 6
Figure 6
Saliva-based LOC biosensor.
See this image and copyright information in PMC

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