January 21, 2021SHILAP Revista de lepidopterologíaOpen Access

Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden

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Why the study?

Datasets from wearable sensors can be time-consuming to analyze to expeditiously and accurately guide decisions regarding the health, safety, and performance of athletes.

Design

Narrative review

Authors

DSDhruv R. SeshadriLehigh University MTMitchell L. ThomWestern University EHEthan R. HarlowUniversity Hospitals of Cleveland

Discussion

Member takes

Implication

May support wearable-AI integration for athlete monitoring; leaves open prospective validation of injury reduction.

Structured PICO

Population

Athletes of all ages

Intervention

Wearable sensors combined with machine learning and artificial intelligence models

Wearable sensors combined with machine learning and AI can aid sports medicine professionals in monitoring athlete workload, health, and performance to reduce injury burden.

Cite This Study

Seshadri et al. (2021) studied this question.

synapsesocial.com/papers/69dd606b80eea7d3f699c426 https://doi.org/10.3389/fspor.2020.630576

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Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider