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Cloud-Based Data Storage System for eHealth Smart Devices

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Online Engineering and Society 4.0 (REV 2021)

Abstract

The availability of cloud storage and data processing providers opens the opportunity to use them with instrumented smart devices in the field of eHealth and eRehabilitation. This work presents the current development of a system comprising a software and a prototype of an instrumented device for assessing the force–time behaviour during a handgrip strength test. The hardware dynamometer connects wirelessly with a software application running on an Android device. The developed App provides the user interface to operate with the system, allowing the graphical view of the test results and connecting to a cloud-based data storage. The Firebase platform, from Google, is used. The App provides the definition of the handgrip test time and the graphical view of the force-time curve. In the end of the test, other force-time parameters, computed from the acquired data, are displayed. This system provides a start concept for an application that can be expanded to support other instrumented devices. It is used both as an interface to operate a device and for data cloud storage, easing the procedure to store, process and share data.

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References

  1. Google Firebase Homepage. https://firebase.google.com/. Accessed 07 Jan 2021

  2. Lauretani F, Russo CR, Bandinelli S, Bartali B, Cavazzini C, Di Iorio A, Ferrucci L (2003) Age-associated changes in skeletal muscles and their effect on mobility: an operational diagnosis of sarcopenia. J Appl Physiol 95(5):1851–1860

    Article  Google Scholar 

  3. Rantanen T, Volpato S, Luigi Ferrucci MD, Eino Heikkinen MD, Fried LP, Guralnik JM (2003) Handgrip strength and cause-specific and total mortality in older disabled women: exploring the mechanism. J Am Geriatr Soc 51(5):636–641

    Article  Google Scholar 

  4. Richards L, Palmiter-Thomas P (1996) Grip strength measurement: a critical review of tools methods and clinical utility. Crit Rev Phys Rehab Med 8:1–2

    Google Scholar 

  5. Norman K, Stobäus N, Gonzalez MC, Schulzke JD, Pirlich M (2011) Hand grip strength: outcome predictor and marker of nutritional status. Clin Nutr 30(2):135–142

    Article  Google Scholar 

  6. Syddall H, Cooper C, Martin F, Briggs R, Aihie Sayer A (2003) Is grip strength a useful single marker of frailty. Age Ageing 32(6): 650–656 (2003)

    Google Scholar 

  7. Reeve TE, Ur R, Craven TE, Kaan JH, Goldman MP, Edwards MS, Hurie JB, Velazquez-Ramirez G, Corriere MA (2003) Grip strength measurement for frailty assessment in patients with vascular disease and associations with comorbidity, cardiac risk, and sarcopenia. J Vasc Surg 67:1512–1520

    Article  Google Scholar 

  8. Guerra RS, Fonseca I, Pichel F, Restivo MT, Amaral TF (2015) Usefulness of six diagnostic and screening measures for undernutrition in predicting length of hospital stay: a comparative analysis. J Acad Nutr Diet 115(6):927–938

    Article  Google Scholar 

  9. Guerra RS, Fonseca I, Pichel F, Restivo MT, Amaral TF (2014) Handgrip strength cutoff values for undernutrition screening at hospital admission. Eur J Clin Nutr 68(12):1315–1321

    Article  Google Scholar 

  10. Flood A, Chung A, Parker H, Kearns V, O’Sullivan TA (2014) The use of hand grip strength as a predictor of nutrition status in hospital patients. Clin Nutr 33(1):106–114

    Article  Google Scholar 

  11. Kim M, Shinkai S (2017) Prevalence of muscle weakness based on different diagnostic criteria in community-dwelling older adults: a comparison of grip strength dynamometers. Geriatr Gerontol Int 17:2089–2095

    Article  Google Scholar 

  12. Guerra RS, Amaral TF, Sousa AS, Fonseca I, Pichel F, Restivo MT (2017) Comparison of jamar and bodygrip dynamometers for handgrip strength measurement. J Strength Cond Res 31:1931–1940

    Article  Google Scholar 

  13. Turusheva AV, Frolova EV, Degryse J (2018) Comparison of measurement results are obtained with dynamometers DK-50 and JAMAR® Plus. Russ Fam Doct 22(1):12–17

    Google Scholar 

  14. Demura S, Nagasawa Y, Yamaji S, Ikemoto Y, Shimada S (2001) Force developmental phase and reliability in explosive and voluntary grip exertions. Percept Mot Skills 92(3_suppl):1009–1021 (2001)

    Google Scholar 

  15. Ikemoto Y, Demura S, Yamaji S, Minami M, Nakada M, Uchiyama M (2007) Force-time parameters during explosive isometric grip correlate with muscle power. Sport Sci Health 2(2):64

    Article  Google Scholar 

  16. Urbano D, Restivo MT, Amaral TF, Abreu P, Chousal MF (2020) An attempt to identify meaningful descriptors of handgrip strength using a novel prototype: preliminary study. Information 11(12):546

    Article  Google Scholar 

  17. Schettino L, Luz CPN, de Oliveira LEG, de Assunção PL, da Silva Coqueiro R, Fernandes MH, Pereira R (2014) Comparison of explosive force between young and elderly women: evidence of an earlier decline from explosive force. Age 36(2):893–898

    Article  Google Scholar 

  18. Borges LS, Fernandes MH, Schettino L, da Coqueiro RS, Pereira R (2015) Handgrip explosive force is correlated with mobility in the elderly women. Acta Bioeng Biomech 17(3):145–149

    Google Scholar 

  19. De Dobbeleer L, Beyer I, Njemini R, Pleck S, Zonnekein N, Mets T, Bautmans I (2017) Force-time characteristics during sustained maximal handgrip effort according to age and clinical condition. Exp Gerontol 98:192–198

    Google Scholar 

  20. Cronin J, Lawton T, Harris N, Kilding A, McMaster DT (2017) A brief review of handgrip strength and sport performance. J Strength Cond Res. 31(11):3187–3217

    Google Scholar 

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Funding

This research was funded by of Project NORTE-01-0145-FEDER-000022 - SciTech - Science and Technology for Competitive and Sustainable Industries, co-financed by Programa Operacional Regional do Norte (NORTE2020), through Fundo Europeu de Desenvolvimento Regional (FEDER) and by the Portuguese Foundation for Science and Technology, under Project LAETA - UIDB/50022/2020.

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Correspondence to Paulo Abreu .

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Abreu, P., Restivo, M.T. (2022). Cloud-Based Data Storage System for eHealth Smart Devices. In: Auer, M.E., Bhimavaram, K.R., Yue, XG. (eds) Online Engineering and Society 4.0. REV 2021. Lecture Notes in Networks and Systems, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-030-82529-4_39

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