Clinical translation of biomedical sensors for sports medicine

• Published in: Journal of medical engineering & technology Vol. 43; no. 1; pp. 66 - 81
• Main Authors: Seshadri, Dhruv R., Magliato, Samantha, Voos, James E., Drummond, Colin
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 02.01.2019
• Subjects: Bioelectronics; biomedical sensors; human performance assessment; sports medicine; wearable technology
• ISSN: 0309-1902; 1464-522X
• DOI: 10.1080/03091902.2019.1612474

The digital health field has seen a surge in product development over the last decade, with product introductions ranging from wrist monitors, epidermal electronics, electronic pills and smart garments, much of these precipitated through the commercialisation and commoditisation of sensor technology. The emergence of wearable technology has recently garnered heightened interest by physicians and the general public. The convenient use of wireless technology to track and monitor physiological parameters, such as heart rate, distance, sleep and stress, has emerged to become relevant to patient care and human performance assessment. However, collecting data is not enough to inform clinical decision-making. It is essential to translate the acquired data into information relevant to clinicians. Our experiences tell us that team competencies must mirror the interdisciplinary technology itself. Thus, an interdisciplinary team blending expertise from engineering, medicine, and nursing is believed to be essential in translating wearable technology into the field. This review discusses the application of wearable sensors to monitor human performance assessment in domains necessitating accurate, reliable, and timely transmission of acquired bio-metric and bio-vital data. A key result disseminating from our investigations is the need to develop predictive models based off of the data acquired from wearable devices to necessitate the development of athlete-centred treatment plans to expedite the return-to-play time and to maximise performance.