WiiPD—Objective Home Assessment of Parkinson's Disease Using the Nintendo Wii Remote

Current clinical methods for the assessment of Parkinson's disease (PD) suffer from inconvenience, infrequency, and subjectivity. WiiPD is an approach for the objective home-based assessment of PD which utilizes the intuitive and sensor-rich Nintendo Wii remote. Combined with an electronic patient diary, a suite of minigames, a metric analyzer, and a visualization engine, we propose that this system can complement existing clinical practice by providing objective metrics gathered frequently over extended periods of time. In this paper, we detail the approach and introduce a series of metrics deemed capable of quantifying the severity of tremor and bradykinesia in those with PD. The system has been tested on a 71-year-old participant with PD over a period of 15 days, a 72-year-old control user without PD, and a group of eight young adults. Results indicate a clear correlation between patient self-rating scores of tremor severity and metric values obtained, in addition to clear differences in metrics obtained from each user group. These results suggest that this approach is capable of indicating the presence and severity of the motor symptoms of PD that affect arm motor control.

[1]  Simeon Keates,et al.  Effect of age and Parkinson's disease on cursor positioning using a mouse , 2005, Assets '05.

[2]  Chris D Nugent,et al.  Computer-based assessment of movement difficulties in Parkinson's disease , 2012, Computer methods in biomechanics and biomedical engineering.

[3]  Guang-Zhong Yang,et al.  Sensor Placement for Activity Detection Using Wearable Accelerometers , 2010, 2010 International Conference on Body Sensor Networks.

[4]  Daniel Weintraub,et al.  Parkinson's disease--Part 1: Pathophysiology, symptoms, burden, diagnosis, and assessment. , 2008, The American journal of managed care.

[5]  Torgny Groth,et al.  A home environment test battery for status assessment in patients with advanced Parkinson's disease , 2010, Comput. Methods Programs Biomed..

[6]  Tim Lüth,et al.  A measurement device for motion analysis of patients with Parkinson's disease using sensor based smart clothes , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

[7]  G. Deuschl,et al.  Parkinsonian action tremor: Interference with object manipulation and lacking levodopa response , 2005, Experimental Neurology.

[8]  Johnny Chung Lee,et al.  Hacking the Nintendo Wii Remote , 2008, IEEE Pervasive Computing.

[9]  S. Leurgans,et al.  Evaluating Parkinson's disease patients at home: Utility of self‐videotaping for objective motor, dyskinesia, and ON–OFF assessments , 2008, Movement disorders : official journal of the Movement Disorder Society.

[10]  Chris D. Nugent,et al.  WiiPD — An approach for the objective home assessment of Parkinson's disease , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  B. Peek,et al.  Managed Library for Nintendo's Wiimote , 2007 .

[12]  A. S. Grove,et al.  Testing objective measures of motor impairment in early Parkinson's disease: Feasibility study of an at‐home testing device , 2009, Movement disorders : official journal of the Movement Disorder Society.

[13]  Jilyan Decker,et al.  Wiihabilitation : Rehabilitation of Wrist Flexion and Extension Using a Wiimote-Based Game System , 2009 .

[14]  A. Salarian,et al.  An ambulatory system to quantify bradykinesia and tremor in Parkinson's disease , 2003, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003..

[15]  Heeyoung Park,et al.  New technology and old habits: The role of age as a technology chasm. , 2006, Technology and health care : official journal of the European Society for Engineering and Medicine.

[16]  G. Deuschl,et al.  Kinetic tremor in a reach‐to‐grasp movement in Parkinson's disease , 2000, Movement disorders : official journal of the Movement Disorder Society.

[17]  H. Reichmann,et al.  Kinetic tremor in Parkinson’s disease – an underrated symptom , 2006, Journal of Neural Transmission.

[18]  Maribeth Gandy Coleman,et al.  The Gesture Pendant: A Self-illuminating, Wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.

[19]  C.D. Nugent,et al.  Assessment and visualization of Parkinson's disease tremor , 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

[20]  J. Jankovic Parkinson’s disease: clinical features and diagnosis , 2008, Journal of Neurology, Neurosurgery, and Psychiatry.

[21]  M. De Hert,et al.  Cost of disorders of the brain in Europe. , 2006, European journal of neurology.

[22]  Chris D. Nugent,et al.  Home-Based Monitoring and Assessment of Parkinson's Disease , 2011, IEEE Transactions on Information Technology in Biomedicine.

[23]  G. Deuschl,et al.  Scales in Parkinson’s disease , 2006, Journal of Neurology.

[24]  Joseph P. Giuffrida,et al.  Clinically deployable Kinesia™ technology for automated tremor assessment , 2009, Movement disorders : official journal of the Movement Disorder Society.

[25]  Paolo Bonato,et al.  Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors , 2009, IEEE Transactions on Information Technology in Biomedicine.