Session Introduction: Digital health technology data in biocomputing: Research efforts and considerations for expanding access

Holko, Michelle; Lunt, Chris; Dunn, Jessilyn

doi:10.1142/9789811270611_0001

Cited by 1 publication

(2 citation statements)

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“…Wearable technology, which includes a variety of devices such as WHOOP®, the Apple® Watch among others, plays a critical role in modern health monitoring (20,21). These devices, chosen here as examples due to their widespread use, are employed for real-time monitoring of various physiological parameters.…”

Section: Use Of Big Data In Wearables Technologymentioning

confidence: 99%

“…WHOOP, for instance, uses algorithms trained on extensive data sets to analyze sleep patterns, heart rate variability, and recovery levels, linking these factors directly to athletic performance (20,21). The Apple Watch, in particular, has capabilities that extend beyond fitness tracking, making it a valuable tool in broader healthcare contexts, especially for individuals living with NCDs (22).…”

Section: Use Of Big Data In Wearables Technologymentioning

confidence: 99%

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Big Data in Sports Medicine and Exercise Science: Integrating Theory and Practice for Future Innovations

Dergaa,

Chamari

2024

TJSSM

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Background: Big data has been successfully applied in medicine, offering remarkable advancements in patient care and health management. The rise of big data in sports medicine and exercise science is a pivotal development, offering fresh perspectives on optimizing athlete performance, preventing injuries, and managing non-communicable diseases (NCDs). This review explores the integration and the potential of big data in these areas, with a particular focus on wearables, genomics, and metabolomics. Objectives: The objectives of this study were: (i) to present the current state of big data in sports medicine, including its applications and advancements in wearables, genomics, and metabolomics, and (ii) to outline the future prospects of big data in sports medicine and exercise science, emphasizing a call to action for ongoing research and interdisciplinary collaboration. Methods: An extensive review of the existing literature and current practices in the application of big data in sports medicine was conducted. The review concentrated on the advancements and applications in the fields of wearables, genomics, and metabolomics, and their implications for sports science and health management. Results: The application of big data has significantly influenced sports medicine, particularly through advanced wearable technologies for monitoring physiological parameters, genomic approaches for personalized athlete care, and metabolomics for in-depth analysis of metabolic responses to exercise. These developments have led to more individualized training and rehabilitation programs, effective injury prevention strategies, and better health management practices for both athletes and the general population. Conclusion: The integration of big data into sports medicine signifies a substantial shift towards more data-driven and tailored approaches. This progression fosters interdisciplinary collaboration and opens new avenues for research in areas like biomechanics and transcriptomics. Leveraging these opportunities can lead to practical improvements in athlete care, health management, and a broader understanding of sports science, benefiting both the sports community and the wider public.

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Section: Use Of Big Data In Wearables Technologymentioning

confidence: 99%