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      Wearable sensors for monitoring the physiological and biochemical profile of the athlete

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          Abstract

          Athletes are continually seeking new technologies and therapies to gain a competitive edge to maximize their health and performance. Athletes have gravitated toward the use of wearable sensors to monitor their training and recovery. Wearable technologies currently utilized by sports teams monitor both the internal and external workload of athletes. However, there remains an unmet medical need by the sports community to gain further insight into the internal workload of the athlete to tailor recovery protocols to each athlete. The ability to monitor biomarkers from saliva or sweat in a noninvasive and continuous manner remain the next technological gap for sports medical personnel to tailor hydration and recovery protocols per the athlete. The emergence of flexible and stretchable electronics coupled with the ability to quantify biochemical analytes and physiological parameters have enabled the detection of key markers indicative of performance and stress, as reviewed in this paper.

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          Most cited references108

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          Big data analytics in healthcare: promise and potential

          Objective To describe the promise and potential of big data analytics in healthcare. Methods The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported in the literature, briefly discusses the challenges, and offers conclusions. Results The paper provides a broad overview of big data analytics for healthcare researchers and practitioners. Conclusions Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Its potential is great; however there remain challenges to overcome.
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            Stress revisited: a critical evaluation of the stress concept.

            With the steadily increasing number of publications in the field of stress research it has become evident that the conventional usage of the stress concept bears considerable problems. The use of the term 'stress' to conditions ranging from even the mildest challenging stimulation to severely aversive conditions, is in our view inappropriate. Review of the literature reveals that the physiological 'stress' response to appetitive, rewarding stimuli that are often not considered to be stressors can be as large as the response to negative stimuli. Analysis of the physiological response during exercise supports the view that the magnitude of the neuroendocrine response reflects the metabolic and physiological demands required for behavioural activity. We propose that the term 'stress' should be restricted to conditions where an environmental demand exceeds the natural regulatory capacity of an organism, in particular situations that include unpredictability and uncontrollability. Physiologically, stress seems to be characterized by either the absence of an anticipatory response (unpredictable) or a reduced recovery (uncontrollable) of the neuroendocrine reaction. The consequences of this restricted definition for stress research and the interpretation of results in terms of the adaptive and/or maladaptive nature of the response are discussed. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Wearable sweat sensors

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                Author and article information

                Contributors
                Dhruv.Seshadri@case.edu
                Journal
                NPJ Digit Med
                NPJ Digit Med
                NPJ Digital Medicine
                Nature Publishing Group UK (London )
                2398-6352
                22 July 2019
                22 July 2019
                2019
                : 2
                : 72
                Affiliations
                [1 ]ISNI 0000 0001 2164 3847, GRID grid.67105.35, Department of Biomedical Engineering, , Case Western Reserve University, ; 10900 Euclid Avenue, Cleveland, OH 44106 USA
                [2 ]ISNI 0000 0000 9149 4843, GRID grid.443867.a, Department of Orthopaedic Surgery, , University Hospitals Cleveland Medical Center, ; Cleveland, OH 44106 USA
                [3 ]ISNI 0000 0004 0452 4020, GRID grid.241104.2, University Hospitals Sports Medicine Institute, ; Cleveland, OH 44106 USA
                [4 ]ISNI 0000 0001 0675 4725, GRID grid.239578.2, Department of Cardiothoracic Anesthesiology, , The Cleveland Clinic, ; 9500 Euclid Avenue, Cleveland, OH 44195 USA
                [5 ]ISNI 0000 0001 2164 3847, GRID grid.67105.35, Frances Payne Bolton School of Nursing, , Case Western Reserve University, ; 9501 Euclid Avenue, Cleveland, OH 44106 USA
                [6 ]ISNI 0000 0001 2164 3847, GRID grid.67105.35, Department of Electrical Engineering and Computer Science, , Case Western Reserve University, ; 10900 Euclid Avenue, Cleveland, OH 44106 USA
                Author information
                http://orcid.org/0000-0001-9773-9351
                Article
                150
                10.1038/s41746-019-0150-9
                6646404
                31341957
                e04b957f-f286-4cc0-9956-fa8744a6f4aa
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 May 2019
                : 8 July 2019
                Funding
                Funded by: D.R.S and C.K.D. acknowledge financial support from the Brenda A. and Robert M. Aiken Strategic Initiative.
                Categories
                Review Article
                Custom metadata
                © The Author(s) 2019

                diagnostic markers,predictive medicine
                diagnostic markers, predictive medicine

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