The Compact Wheelchair Roller Dynamometer

Saulo Fernandes Melo Oliveira; Afonso Augusto Guimarães Bione; Lúcia Inês Guedes Leite Oliveira; Adalberto Veronese da Costa; Fernando José de Sá Pereira Guimarães; Manoel da Cunha Costa

doi:10.1055/s-0043-111404

Sports Medicine International Open, Table of Contents

CC BY-NC-ND 4.0 · Sports Med Int Open 2017; 1(04): E119-E127
DOI: 10.1055/s-0043-111404

Training & Testing

The Compact Wheelchair Roller Dynamometer

Saulo Fernandes Melo Oliveira

¹Pernambuco State University, Human Performance Laboratory, Recife-PE, Brazil

,

Afonso Augusto Guimarães Bione

²Federal Rural University of Pernambuco, Distance Education Center, Recife, Brazil

,

Lúcia Inês Guedes Leite Oliveira

³Pernambuco State University, Associate Program of Post-Graduation in Physical Education UPE / UFPB, Recife, Brazil

,

Adalberto Veronese da Costa

⁴University of the State of Rio Grande do Norte, Physical Education College, Mossoró, Brazil

,

Fernando José de Sá Pereira Guimarães

⁵UPE, Physical Education, Recife, Brazil

,

Manoel da Cunha Costa

⁵UPE, Physical Education, Recife, Brazil

› Author Affiliations

Abstract

The equipment for evaluating the propulsion of a wheelchair is very complex and expensive. To validate a new dynamometer prototype for assessing the propulsion capacity of wheelchairs, 21 healthy subjects (age: 20.9±2.4 yr; weight: 68.9±7.9 kg; height: 174.0±7.1 cm; BMI: 22.7±2.5 kg·m⁻²) who do not normally require wheelchairs performed a sprint protocol for 20 s after a 1-min warm-up. The power and rotation data acquired by the prototype (both right and left sides) were compared with those of a reference system via high-speed videography (240 fps). The results showed high levels of accordance (95% CI), excellent values for the intraclass correlation coefficient (ICC: .99; P<0.00), no significant differences in the rotation (P=0.91) and power (P=0.94) between the methods. The proposed equipment met the validation criteria and thus can be applied as a new tool for assessing wheelchair propulsion.

Key words

people with disabilities - locomotion - effort test - therapeutic exercise

Full Text

References

References
1 Atkinson G, Nevill AM. Statistical methods for assessing measurement error (reliability) in variables relevant to sports medicine. Sports Med 1998; 26: 217-238
2 Cooper RA, Robertson RN, VanSickle DP, Boninger ML, Shimada SD. Methods for determining three-dimensional wheelchair pushrim forces and moments: a technical note. J Rehabil Res Dev 1997; 34: 162-170
3 Cooper RA. SMARTWheel: From concept to clinical practice. Prosthet Orthot Int 2009; 33: 198-209
4 Dantas JL, Pereira G, Nakamura FY. Five-kilometers time trial: preliminary validation of a short test for cycling performance evaluation. Asian J Sports Med 2015; 6: e23802
5 DiGiovine CP, Cooper RA, Boninger ML. Dynamic calibration of a wheelchair dynamometer. J Rehabil Res Dev 2001; 38: 41-56
6 Devillard X, Calmels P, Sauvignet B, Belli A, Denis C, Simard C, Gautheron V. Validation of a new ergometer adapted to all types of manual wheelchair. Eur J Appl. Physiol 2001; 85: 479-485
7 Dewitte K, Fierens C, Stöckl D, Thienpont LM. Application of the Bland–Altman plot for interpretation of method-comparison studies: a critical investigation of its practice. Clin Chemistry 2002; 48: 799-801
8 Faupin A, Campillo P, Weissland T, Gorce P, Thevenon A. The effects of rear-wheel camber on the mechanical parameters produced during the wheelchair sprinting of handibasketball athletes. J Rehabil Res Dev 2004; 41: 421-428
9 Faupin A, Gorce P, Thevenon A. A wheelchair ergometer adaptable to the rear-wheel camber. Int J Ind Ergon 2008; 38: 601-607
10 Finley MA, Rasch EK, Keyser RE, Rodgers MM. The biomechanics of wheelchair propulsion in individuals with and without upper-limb impairment. J Rehabil Res Dev 2004; 41: 385-394
11 Gil-Agudo A, Del Ama-Espinosa A, Pérez-Rizo E, Pérez-Nombela S, Rodríguez-Rodríguez LP. Upper limb joint kinetics during manual wheelchair propulsion in patients with different levels of spinal cord injury. J Biomech 2010; 43: 2508-2515
12 Goosey-Tolfrey V, Castle P, Webborn N. Aerobic capacity and peak power output of elite quadriplegic games players. Br J Sports Med 2006; 40: 684-687
13 Hall SJ, Taranto G. Biomecânica básica. Rio de Janeiro: Guanabara Koogan; 2000
14 Hopkins WG. Measures of reliability in sports medicine and science. Sports Med 2000; 30: 1-15
15 Hu X, Blemker SS. Musculoskeletal simulation can help explain selective muscle degeneration in Duchenne muscular dystrophy. Muscle Nerve 2015; 52: 174-182
16 Hughes TC, Coleman T, Hellar DB, Vega LC, Patterson ES. Web application dashboards from intelligence analysis to health care: applying the open-source OZONE widget framework to health IT. Proc Int Symp Hum Factors Ergon Healthc 2014; 3: 186-190
17 Jaspers E, Monari D, Molenaers G, Feys H, Desloovere K. ULEMA—Upper limb evaluation in movement analysis: Open-source custom made MATLAB based software. Gait Posture 2014; 39: S76-S77
18 Keyser RE, Rasch EK, Finley M, Rodgers MM. Improved upper-body endurance following a 12-week home exercise program for manual wheelchair users. J Rehabil Res Dev 2003; 40: 01-510
19 Kwarciak AM, Turner JT, Guo L, Richter WM. The effects of four different stroke patterns on manual wheelchair propulsion and upper limb muscle strain. Disabil Rehabil Assist Technol 2012; 7: 459-463
20 Kwarciak AM, Yarossi M, Ramanujam A, Dyson-Hudson TA, Sisto SA. Evaluation of wheelchair tire rolling resistance using dynamometer-based coast-down tests. J Rehabil Res Dev 2009; 46: 931-938
21 Lemaire ED, Lamontagne M, Barclay HW, John T, Martel G. A technique for the determination of center of gravity and rolling resistance for tilt-seat wheelchairs. J Rehabil Res Dev 1991; 28: 51-58
22 Lenton JP, van der Woude L, Fowler N, Goosey-Tolfrey V. Effects of arm frequency during synchronous and asynchronous wheelchair propulsion on efficiency. Int J Sports Med 2009; 30: 233-239
23 Motl RW, Fernhall B. Accurate prediction of cardiorespiratory fitness using cycle ergometry in minimally disabled persons with relapsing-remitting multiple sclerosis. Arch Phys Med Rehabil 2012; 93: 490-495
24 Morrow MM, Kaufman KR, An KN. Shoulder model validation and joint contact forces during wheelchair activities. J Biomech 2010; 43: 2487-2492
25 Myles PS, Cui JI. Using the Bland-Altman method to measure agreement with repeated measures. Br J Anaesth 2007; 99: 309-311
26 Niesing R, Eijskoot F, Kranse R, den Ouden AH, Storm J, Veeger HE, Snijders CJ. Computer-controlled wheelchair ergometer. Med Biol Eng Comput 1990; 28: 329-338
27 Pupo HC, Ziemath EC. Determinação do momento de inércia de um volante usando um faiscador. Cad Braz Ens Fis 2004; 21: 69-75
28 Rice I, Gagnon D, Gallagher J, Boninger M. Hand rim wheelchair propulsion training using biomechanical real-time visual feedback based on motor learning theory principles. J Spinal Cord Med 2010; 33: 33
29 Schmidt A, Huonker M, Stober P, Barturen JM, Schmidt-Trucksäss A, Dürr H, Keul J. Physical performance and cardiovascular and metabolic adaptation of elite female wheelchair basketball players in wheelchair ergometry and in competition. Am J Phys Med Rehabil 1998; 77: 527-533
30 Shimada SD, Cooper RA, Lawrence B, Robertson RN. (1995, September). Computer controlled wheelchair dynamometer. In Engineering in Medicine and Biology Society. IEEE 17th Annual Conference 1995; 2: 1177-1178
31 Theisen D, Francaux M, Fayt A, Sturbois X. A new procedure to determine external power output during handrim wheelchair propulsion on a roller ergometer: A reliability study. Int J Sports Med 1996; 17: 564-571
32 Van der Scheer JW, de Groot S, Postema K, Veeger DH, van der Woude LH. Design of a randomized-controlled trial on low-intensity aerobic wheelchair exercise for inactive persons with chronic spinal cord injury. Disabil Rehabil 2013; 35: 1119-1126
33 van der Woude LH, Veeger HE, Dallmeijer AJ, Janssen TW, Rozendaal LA. Biomechanics and physiology in active manual wheelchair propulsion. Med Eng Phys 2001; 23: 713-733
34 Vincent W, Weir J. Statistics in kinesiology. Human Kinetics, 4ª ED 2000
35 Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res 2005; 19: 231-240
36 Teran E, Ueda J. Influence of rolling resistance on manual wheelchair dynamics and mechanical efficiency. Int J Intell Robot Appl 2016; 1-19
37 Harriss DJ, Atkinson G. Ethical standards in sports and exercise science research: 2016 update. Int J Sports Med 2015; 36: 1121-1124