EXPERIMENTAL EVALUATION OF THE EFFECT OF SHOULDER POSITION ON FOREARM PRONATION AND SUPINATION
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Tarnita, D., Wearable sensors used for human gait analysis. Rom J Morphol Embryol, 57(2), pp.373-382., 2016
Wang, Qi., Markopoulos, P., et. al. Interactive wearable systems for upper body rehabilitation, Journal of NeuroEng. and Rehabilitation, 14: 20.doi: 10.1186., 2017.
Soubeyrand, M., et al., Pronation and supination of the hand: Anatomy and bio-mechanics. Hand Surgery and Rehabili-tation, 36(1), pp.2-11, 2017.
Tarniţă DA, Catana M, Tarniţă DN. Experimental measurement of flexion-extension movement in normal and osteoarthritic human knee. Rom J Morphol Embryol. 54(2), pp.309-13, 2013.
Tarnita, D., Georgescu, M., Tarnita, D.N., Application of nonlinear dynamics to human knee movement on plane and inclined treadmill. In New Trends in Medical &Service Robots: Human Centered Analysis, Control & Design, pp. 59-73, Springer, 2016.
Costa, V., et. al. Validity and reliability of inertial sensors for elbow and wrist range of motion assessment., PeerJ, 8, p.e9687, 2020.
Johnson, W.P, et. al. Comparison of measu-rement accuracy between two wrist gonio-meter systems during pronation and supina-tion., Journal of Electromyography and
Kinesiology, 12(5), pp.413–420, 2002
Manivasagam K., Yang, L., et. al. Evaluation of a New Simplified Inertial Sensor Method against Electrogoniometer for Measuring Wrist Motion in Occupational Studies, Sensors, 22(4), p.1690. 2022.
Rahman A.H, Fai, Y.C., et. al. Measurement of Upper Limb Range of Motion Using Wearable Sensors., Sports Med., 4: 53, 2018.
Mohankumar,P., et.al. Recent developments in biosensors for healthcare biomedical applications: Meas., 167, 2021.
Cimatti, B., Marcolino, A.M., et. al. A study to compare two goniometric methods for measuring active pronation and supination range of motion, H. Th., 18, pp. 57-63, 2013.
Rahman A.H, et. al. Analysis of Human Hand Kinematics: Forearm Pronation and Supination, J. Med. Imaging & Health Infor., 4(2), pp. 245–249, 2014.
Berceanu, C., et al., 2010. About an experimental approach used to determine the kinematics of the human finger movement. Solid state phenomena, 166, pp.45-50, 2010.
Garza-Rodríguez, A., Sánchez-Fernández, L.P., et. al. Pronation and supination analysis based on biomechanical signals from Parkinson’s disease patients, Artificial Intelligence in Medicine, 84, pp. 7–22, 2018.
Tarnita, D., Tarnita, D.N., et. al. Experimental measurement of flexion extension movement in normal and corpse
prosthetic elbow joint, Rom J Morphology
Embryology, 57(1), pp. 145-151, 2016.
Haverstock, J.P, M.D., et. al. Elbow motion patterns during daily activity, J Shoulder Elbow Surgery, 29(10), pp. 2007-2014, 2020
Aizawa, J., Masuda, T., et. al. Ranges of active joint motion for the shoulder, elbow, and wrist in healthy adults, Dis. and Reh., 35:16, pp. 1342-1349, 2013.
Shaaban, H., et. al. The effect of elbow posi-tion on the range of supination and prona-tion of the forearm, J of Hand Surgery, 33(1): 3-8, 2008.
Tarnita D., et al., The three-dimensional modeling of the complex virtual human elbow joint, Rom J Morphology and Embryology, 51(3), pp 489-495, 2010.
Biometrics Ltd. www.biometricsltd.com (last accessed march, 2024).
arnita, D., Geonea, I.D., et al., Analysis of Dynamic Behavior of ParReEx Robot Used in Upper Limb Rehabilitation. Applied Sciences, 12(15), 7907, 2022.
Geonea, I.D., Pisla, D., Carbone, G., et al., Dynamic analysis of a spherical parallel robot used for brachial monoparesis rehabilitation. Applied Sciences, 11(24), p.11849, 2021.
Tarnita, D., et al., Contributions on the modeling simulation of the human knee joint with applications to robotic structures. New Trends in Medical and Service Robots: Challenges and Solutions, pp.283-297, 2014
www.simi.com/ (last access may 2024)
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