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      Continuous monitoring of deep-tissue haemodynamics with stretchable ultrasonic phased arrays

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          STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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            Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis.

            Wearable sensor technologies are essential to the realization of personalized medicine through continuously monitoring an individual's state of health. Sampling human sweat, which is rich in physiological information, could enable non-invasive monitoring. Previously reported sweat-based and other non-invasive biosensors either can only monitor a single analyte at a time or lack on-site signal processing circuitry and sensor calibration mechanisms for accurate analysis of the physiological state. Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical and requires full system integration to ensure the accuracy of measurements. Here we present a mechanically flexible and fully integrated (that is, no external analysis is needed) sensor array for multiplexed in situ perspiration analysis, which simultaneously and selectively measures sweat metabolites (such as glucose and lactate) and electrolytes (such as sodium and potassium ions), as well as the skin temperature (to calibrate the response of the sensors). Our work bridges the technological gap between signal transduction, conditioning (amplification and filtering), processing and wireless transmission in wearable biosensors by merging plastic-based sensors that interface with the skin with silicon integrated circuits consolidated on a flexible circuit board for complex signal processing. This application could not have been realized using either of these technologies alone owing to their respective inherent limitations. The wearable system is used to measure the detailed sweat profile of human subjects engaged in prolonged indoor and outdoor physical activities, and to make a real-time assessment of the physiological state of the subjects. This platform enables a wide range of personalized diagnostic and physiological monitoring applications.
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              Wearable biosensors for healthcare monitoring

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                Author and article information

                Contributors
                Journal
                Nature Biomedical Engineering
                Nat Biomed Eng
                Springer Science and Business Media LLC
                2157-846X
                July 2021
                July 16 2021
                July 2021
                : 5
                : 7
                : 749-758
                Article
                10.1038/s41551-021-00763-4
                34272524
                6652c48f-b9d6-454b-9aa7-ca6158771603
                © 2021

                https://www.springer.com/tdm

                https://www.springer.com/tdm

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