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This GCTT collaboration combines Division of Surgery and Interventional Sciences with Medical Physics and Biomedical Engineering to assess a new generation of cloud enabled motion sensors

Assessment of the Reliability and Validity of a Micro-Sensor for Physical Frailty Evaluation听will assess a new generation of AI-embedded sensors with the capability of cloud processing. These battery powered, coin-size sensors (3-axis accelerometers/gyropscopes) will be used to measure motion signals during the 鈥渟it-to-stand鈥� frailty and mobilty tests. The team are working with STMicroelectronics to further explore the utlility of a sensor board, which allows motion signals to be uploaded to the cloud and analysed results to be shared. If deemed suitably reliable and valid, this investigation will lead to further clinical studies and applications with significant impact.

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