{"id":1064914,"date":"2022-03-18T20:36:49","date_gmt":"2022-03-19T00:36:49","guid":{"rendered":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/uncategorized\/co-evolution-of-machine-learning-and-digital-technologies-to-improve-monitoring-of-parkinsons-disease-motor-symptoms-npj-digital-medicine\/"},"modified":"2022-03-18T20:36:49","modified_gmt":"2022-03-19T00:36:49","slug":"co-evolution-of-machine-learning-and-digital-technologies-to-improve-monitoring-of-parkinsons-disease-motor-symptoms-npj-digital-medicine","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/evolution\/co-evolution-of-machine-learning-and-digital-technologies-to-improve-monitoring-of-parkinsons-disease-motor-symptoms-npj-digital-medicine\/","title":{"rendered":"Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson&#8217;s disease motor symptoms | npj Digital Medicine -&#8230;"},"content":{"rendered":"<p><p>Liang, T.-W. & Tarsy, D. In Up to Date (ed. Post, T. W.) (UpToDate, 2021).<\/p>\n<p>Powers, R. et al. Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinsons disease. Sci. Transl. Med. 13, eabd7865 (2021).<\/p>\n<p>Rovini, E., Maremmani, C. & Cavallo, F. How wearable sensors can support Parkinsons disease diagnosis and treatment: a systematic review. Front. Neurosci. 11, 555 (2017).<\/p>\n<p>Kovosi, S. & Freeman, M. Administering medications for Parkinsons disease on time. Nursing 41, 66 (2011).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Grissinger, M. Delayed administration and contraindicated drugs place hospitalized Parkinsons disease patients at. Risk. P T 43, 1039 (2018).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Groiss, S. J., Wojtecki, L., Sdmeyer, M. & Schnitzler, A. Deep brain stimulation in Parkinsons disease. Ther. Adv. Neurol. Disord. 2, 2028 (2009).<\/p>\n<p>CAS    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Movement Disorder Society Task Force on Rating Scales for Parkinsons Disease. The unified Parkinsons disease Rating Scale (UPDRS): status and recommendations. Mov. Disord. 18, 738750 (2003).<\/p>\n<p>                    Google Scholar                <\/p>\n<p>Goetz, C. G. et al. Movement Disorder Society-sponsored revision of the Unified Parkinsons Disease Rating Scale (MDS-UPDRS): Process, format, and clinimetric testing plan. Mov. Disord. 22, 4147 (2007).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Louis, E. D. et al. Clinical correlates of action tremor in Parkinson disease. Arch. Neurol. 58, 1630 (2001).<\/p>\n<p>CAS    PubMed                        Google Scholar                <\/p>\n<p>Heldman, D. A. et al. The Modified Bradykinesia Rating Scale for Parkinsons disease: reliability and comparison with kinematic measures. Mov. Disord. 26, 18591863 (2011).<\/p>\n<p>PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Bathien, N., Koutlidis, R. M. & Rondot, P. EMG patterns in abnormal involuntary movements induced by neuroleptics. J. Neurol. Neurosurg. Psychiatry 47, 10021008 (1984).<\/p>\n<p>CAS    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Andrews, C. J. Influence of dystonia on the response to long-term L-dopa therapy in Parkinsons disease. J. Neurol. Neurosurg. Psychiatry 36, 630636 (1973).<\/p>\n<p>CAS    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Milner-Brown, H. S., Fisher, M. A. & Weiner, W. J. Electrical properties of motor units in Parkinsonism and a possible relationship with bradykinesia. J. Neurol. Neurosurg. Psychiatry 42, 3541 (1979).<\/p>\n<p>CAS    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Hacisalihzade, S. S., Albani, C. & Mansour, M. Measuring parkinsonian symptoms with a tracking device. Comput. Methods Prog. Biomed. 27, 257268 (1988).<\/p>\n<p>CAS                        Google Scholar                <\/p>\n<p>Beuter, A., de Geoffroy, A. & Cordo, P. The measurement of tremor using simple laser systems. J. Neurosci. Methods 53, 4754 (1994).<\/p>\n<p>CAS    PubMed                        Google Scholar                <\/p>\n<p>Weller, C. et al. Defining small differences in efficacy between anti-parkinsonian agents using gait analysis: a comparison of two controlled release formulations of levodopa\/decarboxylase inhibitor. Br. J. Clin. Pharm. 35, 379385 (1993).<\/p>\n<p>CAS                        Google Scholar                <\/p>\n<p>OSuilleabhain, P. E. & Dewey, R. B. Validation for tremor quantification of an electromagnetic tracking device. Mov. Disord. 16, 265271 (2001).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Deuschl, G., Lauk, M. & Timmer, J. Tremor classification and tremor time series analysis. Chaos: Interdiscip. J. Nonlinear Sci. 5, 48 (1998).<\/p>\n<p>                    Google Scholar                <\/p>\n<p>Spyers-Ashby, J. M., Stokes, M. J., Bain, P. G. & Roberts, S. J. Classification of normal and pathological tremors using a multidimensional electromagnetic system. Med. Eng. Phys. 21, 713723 (1999).<\/p>\n<p>CAS    PubMed                        Google Scholar                <\/p>\n<p>Rajaraman, V. et al. A novel quantitative method for 3D measurement of Parkinsonian tremor. Clin. Neurophysiol. 111, 338343 (2000).<\/p>\n<p>CAS    PubMed                        Google Scholar                <\/p>\n<p>Hoff, J. I., van der Meer, V. & van Hilten, J. J. Accuracy of objective ambulatory accelerometry in detecting motor complications in patients with Parkinsons disease. Clin. Neuropharmacol. 27, 5357 (2004).<\/p>\n<p>CAS    PubMed                        Google Scholar                <\/p>\n<p>Dunnewold, R. J. W. et al. Ambulatory quantitative assessment of body position, bradykinesia, and hypokinesia in Parkinsons disease. J. Clin. Neurophysiol. 15, 235242 (1998).<\/p>\n<p>CAS    PubMed                        Google Scholar                <\/p>\n<p>Hoff, J. I., van den Plas, A. A., Wagemans, E. A. & van Hilten, J. J. Accelerometric assessment of levodopa-induced dyskinesias in Parkinsons disease. Mov. Disord. 16, 5861 (2001).<\/p>\n<p>CAS    PubMed                        Google Scholar                <\/p>\n<p>Dunnewold, R. J. W., Jacobi, C. E. & van Hilten, J. J. Quantitative assessment of bradykinesia in patients with Parkinsons disease. J. Neurosci. Methods 74, 107112 (1997).<\/p>\n<p>CAS    PubMed                        Google Scholar                <\/p>\n<p>Salarian, A. et al. Quantification of tremor and bradykinesia in Parkinsons disease using a novel ambulatory monitoring system. IEEE Trans. Biomed. Eng. 54, 313322 (2007).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Mera, T. O., Heldman, D. A., Espay, A. J., Payne, M. & Giuffrida, J. P. Feasibility of home-based automated Parkinsons disease motor assessment. J. Neurosci. Methods 203, 152156 (2012).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Heldman, D. A. et al. Automated motion sensor quantification of gait and lower extremity Bradykinesia. Conf. Proc. IEEE Eng. Med Biol. Soc. 2012, 19561959 (2012).<\/p>\n<p>PubMed Central                        Google Scholar                <\/p>\n<p>Phan, D., Horne, M., Pathirana, P. N. & Farzanehfar, P. Measurement of axial rigidity and postural instability using wearable sensors. Sensors (Basel) 18, 495 (2018).<\/p>\n<p>Salarian, A. et al. Analyzing 180 turns using an inertial system reveals early signs of progress in Parkinsons Disease. Conf. Proc. IEEE Eng. Med Biol. Soc. 2009, 224227 (2009).<\/p>\n<p>PubMed Central                        Google Scholar                <\/p>\n<p>Moore, S. T. et al. Autonomous identification of freezing of gait in Parkinsons disease from lower-body segmental accelerometry. J. Neuroeng. Rehabil. 10, 19 (2013).<\/p>\n<p>PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Mancini, M. et al. Measuring freezing of gait during daily-life: an open-source, wearable sensors approach. J. Neuroeng. Rehabil. 18, 1 (2021).<\/p>\n<p>PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Reches, T. et al. Using wearable sensors and machine learning to automatically detect freezing of gait during a FOG-Provoking test. Sensors (Basel) 20, 4474 (2020).<\/p>\n<p>Tripoliti, E. E. et al. Automatic detection of freezing of gait events in patients with Parkinsons disease. Comput. Methods Prog. Biomed. 110, 1226 (2013).<\/p>\n<p>                    Google Scholar                <\/p>\n<p>Zach, H. et al. Identifying freezing of gait in Parkinsons disease during freezing provoking tasks using waist-mounted accelerometry. Parkinsonism. Relat. Disord. 21, 13621366 (2015).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Manson, A. et al. An ambulatory dyskinesia monitor. J. Neurol. Neurosurg. Psychiatry 68, 196201 (2000).<\/p>\n<p>CAS    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Pulliam, C. L. et al. Continuous assessment of levodopa response in Parkinsons disease using wearable motion sensors. IEEE Trans. Biomed. Eng. 65, 159164 (2018).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Rodrguez-Molinero, A. et al. Estimating dyskinesia severity in Parkinsons disease by using a waist-worn sensor: concurrent validity study. Sci. Rep. 9, 13434 (2019).<\/p>\n<p>Giovannoni, G., van Schalkwyk, J., Fritz, V. & Lees, A. Bradykinesia akinesia inco-ordination test (BRAIN TEST): an objective computerised assessment of upper limb motor function. J. Neurol. Neurosurg. Psychiatry 67, 624629 (1999).<\/p>\n<p>CAS    PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Allen, D. P. et al. On the use of low-cost computer peripherals for the assessment of motor dysfunction in Parkinsons diseasequantification of bradykinesia using target tracking tasks. IEEE Trans. Neural Syst. Rehabilitation Eng. 15, 286294 (2007).<\/p>\n<p>CAS                        Google Scholar                <\/p>\n<p>Espay, A. J. et al. At-home training with closed-loop augmented-reality cueing device for improving gait in patients with Parkinsons disease. J. Rehabil. Res. Dev. 47, 573 (2010).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Bachlin, M. et al. Wearable assistant for Parkinsons disease patients with the freezing of gait symptom. IEEE Trans. Inf. Technol. Biomed. 14, 436446 (2010).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Lee, A. et al. Can google glassTM technology improve freezing of gait in parkinsonism? A pilot study. Disabil. Rehabil. Assist. Technol. 111. <a href=\"https:\/\/doi.org\/10.1080\/17483107.2020.1849433\" rel=\"nofollow\">https:\/\/doi.org\/10.1080\/17483107.2020.1849433<\/a> (2020).<\/p>\n<p>Rao, A. S. et al. Quantifying drug induced dyskinesia in Parkinsons disease patients using standardized videos. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 17691772. <a href=\"https:\/\/doi.org\/10.1109\/IEMBS.2008.4649520\" rel=\"nofollow\">https:\/\/doi.org\/10.1109\/IEMBS.2008.4649520<\/a> (2008).<\/p>\n<p>van Hilten, J. J., Middelkoop, H. A., Kerkhof, G. A. & Roos, R. A. A new approach in the assessment of motor activity in Parkinsons disease. J. Neurol. Neurosurg. Psychiatry 54, 976979 (1991).<\/p>\n<p>PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Burne, J. A., Hayes, M. W., Fung, V. S. C., Yiannikas, C. & Boljevac, D. The contribution of tremor studies to diagnosis of Parkinsonian and essential tremor: a statistical evaluation. J. Clin. Neurosci. 9, 237242 (2002).<\/p>\n<p>CAS    PubMed                        Google Scholar                <\/p>\n<p>Cole, B. T., Roy, S. H., Luca, C. J. D. & Nawab, S. H. Dynamic neural network detection of tremor and dyskinesia from wearable sensor data. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 60626065. <a href=\"https:\/\/doi.org\/10.1109\/IEMBS.2010.5627618\" rel=\"nofollow\">https:\/\/doi.org\/10.1109\/IEMBS.2010.5627618<\/a> (2010).<\/p>\n<p>Tsipouras, M. G. et al. An automated methodology for levodopa-induced dyskinesia: assessment based on gyroscope and accelerometer signals. Artif. Intell. Med. 55, 127135 (2012).<\/p>\n<p>PubMed                        Google Scholar                <\/p>\n<p>Papapetropoulos, S. et al. Objective quantification of neuromotor symptoms in Parkinsons disease: implementation of a portable, computerized measurement tool. Parkinsons Dis. 2010, (2010).<\/p>\n<p>Yang, C.-C., Hsu, Y.-L., Shih, K.-S. & Lu, J.-M. Real-time gait cycle parameter recognition using a wearable accelerometry system. Sensors (Basel) 11, 73147326 (2011).<\/p>\n<p>                    Google Scholar                <\/p>\n<p>Klucken, J. et al. Unbiased and mobile gait analysis detects motor impairment in Parkinsons disease. PLoS ONE 8, e56956 (2013).<\/p>\n<p>Marcante, A. et al. Foot pressure wearable sensors for freezing of gait detection in Parkinsons disease. Sensors (Basel) 21, 128 (2020).<\/p>\n<p>Mahadevan, N. et al. Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device. npj Digital Med. 3, 112 (2020).<\/p>\n<p>                    Google Scholar                <\/p>\n<p>Heldman, D. A. et al. Telehealth management of Parkinsons disease using wearable Sensors: Exploratory Study. Digit Biomark. 1, 4351 (2017).<\/p>\n<p>PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Ferreira, J. J. et al. Quantitative home-based assessment of Parkinsons symptoms: the SENSE-PARK feasibility and usability study. BMC Neurol. 15, 89 (2015).<\/p>\n<p>PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Fisher, J. M., Hammerla, N. Y., Rochester, L., Andras, P. & Walker, R. W. Body-worn sensors in Parkinsons disease: evaluating their acceptability to patients. Telemed. J. E Health 22, 6369 (2016).<\/p>\n<p>PubMed    PubMed Central                        Google Scholar                <\/p>\n<p>Evers, L. J. et al. Real-life gait performance as a digital biomarker for motor fluctuations: the Parkinson@Home validation study. J. Med. Internet Res. 22, e19068 (2020).<\/p>\n<p>Erb, M. K. et al. mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinsons disease. npj Digital Med. 3, 110 (2020).<\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Follow this link: <\/p>\n<p><a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/www.nature.com\/articles\/s41746-022-00568-y\" title=\"Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms | npj Digital Medicine -...\">Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms | npj Digital Medicine -...<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Liang, T.-W. &#038; Tarsy, D. In Up to Date (ed <a href=\"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/evolution\/co-evolution-of-machine-learning-and-digital-technologies-to-improve-monitoring-of-parkinsons-disease-motor-symptoms-npj-digital-medicine\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[187748],"tags":[],"class_list":["post-1064914","post","type-post","status-publish","format-standard","hentry","category-evolution"],"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/1064914"}],"collection":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/comments?post=1064914"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/posts\/1064914\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/media?parent=1064914"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/categories?post=1064914"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/prometheism-transhumanism-posthumanism\/wp-json\/wp\/v2\/tags?post=1064914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}