Real-time visual verification of leap motion controller measurements for reliable finger tapping test in Parkinson’s disease

[1] S. Sveinbjornsdottir, “The clinical symptoms of parkinson’s disease”, Journal of neurochemistry, vol. 139, pp. 318–324, 2016. Search in Google Scholar

[2] Y. Mamontov and M. Willander, High-dimensional nonlinear diffusion stochastic processes, 1^st ed. Singa-pore: World Scientific, 2001. Search in Google Scholar

[3] R. B. Postuma, D. Berg, M. Stern, W. Poewe, C. W. Olanow, W. Oertel, J. Obeso, K. Marek, I. Litvan, A. E. Lang, et al., “Mds clinical diagnostic criteria for parkinson’s disease”, Movement disorders, vol. 30, no. 12, pp. 1591–1601, 2015. Search in Google Scholar

[4] A. Shirani, B. D. Newton, and D. T. Okuda, “Finger tapping impairments are highly sensitive for evaluating upper motor neuron lesions”, BMC neurology, vol. 17, pp. 1–8, 2017. Search in Google Scholar

[5] C. G. Goetz, B. C. Tilley, S. R. Shaftman, G. T. Stebbins, S. Fahn, P. Martinez-Martin, W. Poewe, C. Sampaio, M. B. Stern, R. Dodel, et al., “Movement disorder society-sponsored revision of the unified parkinson’s disease rating scale (mdsupdrs): scale presentation and clinimetric testing results”, Movement disorders: official journal of the Movement Disorder Society, vol. 23, no. 15, pp. 2129–2170, 2008. Search in Google Scholar

[6] L. J. Evers, J. H. Krijthe, M. J. Meinders, B. R. Bloem, and T. M. Heskes, “Measuring parkinson’s disease over time: the real-world withinsubject reliability of the mds-updrs”, Movement Disorders, vol. 34, no. 10, pp. 1480–1487, 2019. Search in Google Scholar

[7] M. Yahya, J. A. Shah, K. A. Kadir, Z. M. Yusof, S. Khan, and A. Warsi, “Motion capture sensing techniques used in human upper limb motion: A review”, Sensor Review, vol. 39, no. 4, pp. 504–511, 2019. Search in Google Scholar

[8] J. Y. Tung, T. Lulic, D. A. Gonzalez, J. Tran, C. R. Dickerson, and E. A. Roy, “Evaluation of a portable markerless finger position capture device: accuracy of the leap motion controller in healthy adults”, Physiological measurement, vol. 36, no. 5, p. 1025, 2015. Search in Google Scholar

[9] A. H. Butt, E. Rovini, C. Dolciotti, G. De Petris, P. Bongioanni, M. Carboncini, and F. Cavallo, “Objective and automatic classification of parkinson disease with leap motion controller”, Biomedical engineering online, vol. 17, no. 1, pp. 1–21, 2018. Search in Google Scholar

[10] A. Garcia-Agundez and C. Eickhoff, “Towards objective quantification of hand tremors and bradykinesia using contactless sensors: A systematic review”, Frontiers in Aging Neuroscience, vol. 13, p. 716102, 2021. Search in Google Scholar

[11] M. Djurić-Jovičić, N. S. Jovičić, A. Roby-Brami, M. B. Popović, V. S. Kostić, and A. R. Djordjević, “Quantification of finger-tapping angle based on wearable sensors,” Sensors, vol. 17, no. 2, p. 203, 2017. Search in Google Scholar

[12] J. A. Nelder and R. Mead, “A simplex method for function minimization”, The computer journal, vol. 7, no. 4, pp. 308–313, 1965. Search in Google Scholar

[13] M. Komlósi, “Detecting of hand movement features using leap motion sensor”, Diploma thesis, FEI STU Bratislava, 2020. Search in Google Scholar

[14] P. Matejicka, S. Kajan, J. Goga, I. Straka, M. Balaz, S. Janovic, M. Minar, P. Valkovic, M. Hajduk, and Z. Kosutzka, “Bradykinesia in dystonic hand tremor: kinematic analysis and clinical rating”, Frontiers in Human Neuroscience, vol. 18, p. 1395827, 2024. Search in Google Scholar

[15] A. Savitzky and M. J. Golay, “Smoothing and differentiation of data by simplified least squares procedures”, Analytical chemistry, vol. 36, no. 8, pp. 1627–1639, 1964. Search in Google Scholar

[16] I. Staretu and C. Moldovan, “Leap motion device used to control a real anthropomorphic gripper”, International Journal of Advanced Robotic Systems, vol. 13, no. 3, p. 113, 2016. Search in Google Scholar

[17] S. Kajan, D. Pernecky, and J. Goga, “Application of neural network in medical diagnostics”, Technical computing Prague 2015, vol. 23, p. 9, 2015. Search in Google Scholar

[18] C. Kincaid, P. Johnson, and S. K. Charles, “Feasibility of using the leap motion controller to administer conventional motor tests: a proofof- concept study”, Biomedical Physics & Engineering Express, vol. 9, p. 035009, mar 2023. Search in Google Scholar

[19] E. Gamboa, A. Serrato, J. Castro, D. Toro, and M. Trujillo, “Advantages and limitations of leap motion from a developers’, physical therapists’, and patients’ perspective”, Methods of Information in Medicine, vol. 59, no. 02/03, pp. 110–116, 2020. Search in Google Scholar

[20] C. J. Kincaid, A. C. Vaterlaus, N. R. Stanford, and S. K. Charles, “Frequency response of the leap motion controller and its suitability for measuring tremor”, Medical engineering & physics, vol. 63, pp. 72–78, 2019. Search in Google Scholar

[21] A. H. Butt, E. Rovini, C. Dolciotti, P. Bongioanni, G. De Petris, and F. Cavallo, “Leap motion evaluation for assessment of upper limb motor skills in parkinson’s disease”, in 2017 International Conference on Rehabilitation Robotics (ICORR), pp. 116–121, 2017 Search in Google Scholar