collected using ResearchKit. Sci Data 2016;3:1–9. 19. Aghanavesi S, Nyholm D, Senek M, Bergquist F, Memedi M. A smartphone-based system to quantify dexterity in Parkinson’s disease patients. Informatics Med Unlocked 2017;9(March):11–7. 20. Kostikis N, Hristu-Varsakelis D, Arnaoutoglou M, Kotsavasiloglou C. A Smartphone-Based Tool for Assessing Parkinsonian Hand Tremor. IEEE J Biomed Heal Informatics 2015;19(6):1835–42. 21. Haubenberger D, Kalowitz D, Nahab FB, et al. Validation of digital spiral analysis as outcome parameter for clinical trials in essential tremor. Mov Disord 2011;26(11):2073–80. 22. Zhan A, Mohan S, Tarolli C, et al. Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity. JAMA Neurol 2018;75(7):876. 23. Fisher JM, Hammerla NY, Ploetz T, Andras P, Rochester L, Walker RW. Unsupervised home monitoring of Parkinson’s disease motor symptoms using accelerometers. Park Relat Disord 2016;33:44–50. 24. Ossig C, Antonini A, Buhmann C, et al. Wearable sensor-based objective assessment of motor symptoms in Parkinson’s disease. J Neural Transm 2016;123(1):57–64. 25. Hssayeni MD, Burack MA, Ghoraani B. Automatic assessment of medication states of patients with Parkinson’s disease using wearable sensors. 2016 38th Annu Int Conf IEEE Eng Med Biol Soc 2016;2016:6082–5. 26. Roy SH, Cole BT, Gilmore LD, et al. High-resolution tracking of motor disorders in
collected using ResearchKit. Sci Data 2016;3:1–9. 19. Aghanavesi S, Nyholm D, Senek M, Bergquist F, Memedi M. A smartphone-based system to quantify dexterity in Parkinson’s disease patients. Informatics Med Unlocked 2017;9(March):11–7. 20. Kostikis N, Hristu-Varsakelis D, Arnaoutoglou M, Kotsavasiloglou C. A Smartphone-Based Tool for Assessing Parkinsonian Hand Tremor. IEEE J Biomed Heal Informatics 2015;19(6):1835–42. 21. Haubenberger D, Kalowitz D, Nahab FB, et al. Validation of digital spiral analysis as outcome parameter for clinical trials in essential tremor. Mov Disord 2011;26(11):2073–80. 22. Zhan A, Mohan S, Tarolli C, et al. Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity. JAMA Neurol 2018;75(7):876. 23. Fisher JM, Hammerla NY, Ploetz T, Andras P, Rochester L, Walker RW. Unsupervised home monitoring of Parkinson’s disease motor symptoms using accelerometers. Park Relat Disord 2016;33:44–50. 24. Ossig C, Antonini A, Buhmann C, et al. Wearable sensor-based objective assessment of motor symptoms in Parkinson’s disease. J Neural Transm 2016;123(1):57–64. 25. Hssayeni MD, Burack MA, Ghoraani B. Automatic assessment of medication states of patients with Parkinson’s disease using wearable sensors. 2016 38th Annu Int Conf IEEE Eng Med Biol Soc 2016;2016:6082–5. 26. Roy SH, Cole BT, Gilmore LD, et al. High-resolution tracking of motor disorders in
PDdiary_Viewpoint_MovDisord092818.docx