Skip to main content

Handgrip Evaluation: Endurance and Handedness Dominance

  • Conference paper
  • First Online:
Smart Industry & Smart Education (REV 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 47))

Abstract

This work contributes to the development of a repeatable and objective methodology for relating the physiological energy spent during a handgrip exercise, identified through the variation of skin temperature, with the average grip force, and evaluate its influence on exercise endurance and handedness dominance. For that purpose, a special handgrip dynamometer is used as well as an Infrared Thermal Imaging (IRT) to map large areas of skin surface temperature. Results suggest that at least a 10-grips test with the dynamometer is required to produce reliable thermal results and the dominant hand should be used. In the future, relationship between the thermal variables and mechanical work involved during the handgrip should be addressed. The developed methodology should be applied to populations at health risk conditions to which the use of the handgrip dynamometer can provide information for diagnose and treatment assessment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bautmans, I., Gorus, E., Njemini, R., Mets, T.: Handgrip performance in relation to self-perceived fatigue, physical functioning and circulating IL-6 in elderly persons without inflammation. BMC Geriatr. 7(1), 5 (2007)

    Article  Google Scholar 

  2. Leal, V.O., Stockler-Pinto, M.B., Farage, N.E., Aranha, L.N., Fouque, D., Anjos, L.A., Mafra, D.: Handgrip strength and its dialysis determinants in hemodialysis patients. Nutrition 27(11), 1125–1129 (2011)

    Article  Google Scholar 

  3. Guerra, R.S., Fonseca, I., Pichel, F., Restivo, M.T., Amaral, T.F.: Handgrip strength and associated factors in hospitalized patients. J. Parenter. Enter. Nutr. 39(3), 322–330 (2015)

    Article  Google Scholar 

  4. White, J.V., Guenter, P., Jensen, G., Malone, A., Schofield, M., Academy of Nutrition and Dietetics Malnutrition Work Group, et al.: Consensus Statement of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition). J. Acad. Nutr. Diet. 112(5), 730–738 (2012)

    Article  Google Scholar 

  5. AGS Geriatric Evaluation and Management Tools (Geriatrics E&M Tools) support clinicians and systems that are caring for older adults with common geriatric conditions. http://familymed.uthscsa.edu/gerifellowship/redirect/articles/CLC/Geriatrics%20Eval%20Management%20Tool%20for%20Frailty.pdf. Accessed Dec 2017

  6. Leong, D.P., Teo, K.K., Rangarajan, S., Lopez-Jaramillo, P., Avezum, A., Orlandini, A., et al.: Prognostic value of grip strength: findings from the Prospective Urban Rural Epidemiology (PURE) study. The Lancet 386(9990), 266–273 (2015)

    Article  Google Scholar 

  7. Dudzińska-Griszek, J., Szuster, K., Szewieczek, J.: Grip strength as a frailty diagnostic component in geriatric inpatients. Clin. Interv. Aging 12, 1151 (2017)

    Article  Google Scholar 

  8. Dodds, R.M., Syddall, H.E., Cooper, R., Kuh, D., Cooper, C., Sayer, A.A.: Global variation in grip strength: a systematic review and meta-analysis of normative data. Age Ageing 45(2), 209–216 (2016)

    Article  Google Scholar 

  9. Yates, T., Zaccardi, F., Dhalwani, N.N., Davies, M.J., Bakrania, K., Celis-Morales, C.A., et al.: Association of walking pace and handgrip strength with all-cause, cardiovascular, and cancer mortality: a UK Biobank observational study. Eur. Heart J. 38(43), 3232–3240 (2017)

    Article  Google Scholar 

  10. Nofuji, Y., Shinkai, S., Taniguchi, Y., Amano, H., Nishi, M., Murayama, H., et al.: Associations of walking speed, grip strength, and standing balance with total and cause-specific mortality in a general population of Japanese elders. J. Am. Med. Directors Assoc. 17(2), 184-e1 (2016)

    Article  Google Scholar 

  11. Guerra, R.S., Amaral, T.F., Sousa, A.S., Fonseca, I., Pichel, F., Restivo, M.T.: Comparison of jamar and bodygrip dynamometers for handgrip strength measurement. J. Strength Cond. Res. 31(7), 1931–1940 (2017). https://doi.org/10.1519/JSC.0000000000001666

    Article  Google Scholar 

  12. Vardasca, R., Vaz, L., Mendes, J.: Classification and decision making with infrared medical thermal imaging. In: Dey, N., Ashour, A.S., Borra, S. (eds.) Classification in BioApps: Automation of Decision Making. Studies in Lecture Notes in Computational Vision and Biomechanics Book Series, pp. 79–104. Springer (2018)

    Google Scholar 

  13. Ring, E.F.J., Ammer, K.: Infrared thermal imaging in medicine. Physiol. Meas. 33(3), R33–R46 (2012)

    Article  Google Scholar 

  14. Ring, E.F.J., Ammer, K.: The technique of infrared imaging in medicine. Thermol. Int. 10(1), 7–14 (2000)

    Google Scholar 

  15. Sharma, S.D., Smith, E.M., Hazleman, B.L., Jenner, J.R.: Thermographic changes in keyboard operators with chronic forearm pain. BMJ 314(7074), 118 (1997)

    Article  Google Scholar 

  16. Ammer, K.: The Glamorgan Protocol for recording and evaluation of thermal images of the human body. Thermol. Int. 18(4), 125–144 (2008)

    Google Scholar 

Download references

Acknowledgment

The authors gratefully acknowledge the funding 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 of project LAETA - UID/EMS/50022/2013.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ricardo Vardasca .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vardasca, R., Abreu, P., Mendes, J., Restivo, M.T. (2019). Handgrip Evaluation: Endurance and Handedness Dominance. In: Auer, M., Langmann, R. (eds) Smart Industry & Smart Education. REV 2018. Lecture Notes in Networks and Systems, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-95678-7_57

Download citation

Publish with us

Policies and ethics