Abstract
Human upper extremity has numerous functions in day-to-day life. Strokes lead to weakening in hand muscles because of which the patient is unable to hold an object properly. Stroke related problems are treated by physiotherapy and grip strength recovery is assessed by the devices such as Jamar dynamometer and pinch meter. In this paper, load cell and Force Sensing Resistor sensors are used which mimics the use of Jamar dynamometer and assesses the patient recovery quantitatively. The sensory unit consists of the load cell which is used to sense the data and give it to the Wheatstone bridge. Participant is asked to apply force on the developed hand dynamometer and the values of grip strength forces are recorded in the system. This device transmits the participant data wirelessly using the Bluetooth module. Load cell and Force Sensing Resistors (FSR) sensor data are stored in Rapid Miner and the graphs of grip strength are plotted. Thus, the developed prototype helps to determine the grip strength of a disabled person hand using low-cost devices and possible to compare the present and previous results of the assessment. The field of application of this tool is in physiotherapy and occupational therapy.
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References
James MH, Lawrence HS, Evelyn JM, Anne DC Rehabilitation of the hand. 2nd edn
Bear-Lehman J, Abreu BC (1989) Evaluating the hand: issues in reliability and validity. Phys Ther 69(12):1025–1033
Jebsen RH, Taylor N, Trieschmann RB, Trotter MJ, Howard LA (1969) An objective and standardized test of hand function. Arch Phys Med Rehabil 50:311–319
Bohannon RW (1993) Comparability of force measurements obtained with different strain gauge hand-held dynamometers. J Orthop Sports Phys Ther 18(4):564–567
Peters MJH et al (2011) Revised normative values for grip strength with the Jamar dynamometer. J Periph Nervous Syst 16(1):47–50
Decostre V et al (2015) Wrist flexion and extension torques measured by highly sensitive dynamometer in healthy subjects from 5 to 80 years. BMC Musculoskeletal Disorders 16(4)
Noh NM, Kadri NA, Usman J (2016) Development of arduino-based hand dynamometer assistive device. J. Mech. Med. Biol 16(3)
Fani S, Bianchi M, Jain S, Pimenta Neto SJ, Boege S, Bicchi A, Santello M (2016) Assessment of myoelectric controller performance and kinematic behavior of a novel soft synergy-inspired assistive device. Front Neuroro 10(11):1–15
Ambar R, Ahmad MS, Ali AMM, Jamil MMA (2011) Arduino based arm rehabilitation assistive device. Eng Technol 7:5–13
Wimer B, Dong RG, Welcome DE, Warren C, McDowell TW (2009) Development of a new dynamometer for measuring grip strength applied on a cylindrical handle. Med Eng Phys 31(6):695–704
Peters MJH et al (2011) Revised normative values for grip strength with the Jamar dynamometer. J Peripher Nerv Syst 16(1):47–50
Acknowledgements
Authors are thankful to Kasturba Hospital, Manipal Institutional Ethics Committee for providing permission to study on healthy subjects.
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Aneesha, A.K., Bhat, S., Kanthi, M. (2021). Load Cell and FSR-Based Hand-Assistive Device. In: Panigrahi, C.R., Pati, B., Mohapatra, P., Buyya, R., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1198. Springer, Singapore. https://doi.org/10.1007/978-981-15-6584-7_15
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DOI: https://doi.org/10.1007/978-981-15-6584-7_15
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