Smartphone-based evaluation of parkinsonian hand tremor: Quantitative measurements vs clinical assessment scores

With an ever-growing number of technologically advanced methods for the diagnosis and quantification of movement disorders, comes the need to assess their accuracy and see how they match up with widely used standard clinical assessment tools. This work compares quantitative measurements of hand tremor in twenty-three Parkinson's disease patients, with their clinical scores in the hand tremor components of the Unified Parkinson's Disease Rating Scale (UPDRS), which is considered the “gold standard” in the clinical assessment of the disease. Our measurements were obtained using a smartphone-based platform, which processes the phone's accelerometer and gyroscope signals to detect and measure hand tremor. The signal metrics used were mainly based on the magnitude of the acceleration and the rotation rate vectors of the device. Our results suggest relatively strong correlation (r>0.7 and p<;0.01) between the patients' UPDRS hand tremor scores and the signal metrics applied to the measured signals.

[1]  Dimitrios Hristu-Varsakelis,et al.  Towards remote evaluation of movement disorders via smartphones , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  Lorene M Nelson,et al.  Incidence of Parkinson's disease: variation by age, gender, and race/ethnicity. , 2003, American journal of epidemiology.

[3]  Huiru Zheng,et al.  Assessing accelerometer based gait features to support gait analysis for people with complex regional pain syndrome , 2010, PETRA '10.

[4]  Robert LeMoyne,et al.  Quantification of Parkinson's disease characteristics using wireless accelerometers , 2009, 2009 ICME International Conference on Complex Medical Engineering.

[5]  The Unified Parkinson's Disease Rating Scale (UPDRS): Status and recommendations , 2003, Movement disorders : official journal of the Movement Disorder Society.

[6]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[7]  P. Bonato,et al.  Analysis of Feature Space for Monitoring Persons with Parkinson's Disease With Application to a Wireless Wearable Sensor System , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  Robert LeMoyne,et al.  Implementation of an iPhone for characterizing Parkinson's disease tremor through a wireless accelerometer application , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[9]  J. Jankovic,et al.  Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): Process, format, and clinimetric testing plan , 2007, Movement disorders : official journal of the Movement Disorder Society.

[10]  E. Tolosa,et al.  Cognitive dysfunction and dementia in Parkinson disease , 2007, Movement disorders : official journal of the Movement Disorder Society.

[11]  Shyamal Patel,et al.  Mercury: a wearable sensor network platform for high-fidelity motion analysis , 2009, SenSys '09.

[12]  Abbas F. Sadikot,et al.  Using a Smart Phone as a Standalone Platform for Detection and Monitoring of Pathological Tremors , 2013, Front. Hum. Neurosci..

[13]  Warren S. Grundfest,et al.  Wireless accelerometer configuration for monitoring Parkinson's disease hand tremor , 2013 .

[14]  W. Grundfest,et al.  ACCELEROMETERS FOR QUANTIFICATION OF GAIT AND MOVEMENT DISORDERS: A PERSPECTIVE REVIEW , 2008 .

[15]  Jeffrey M. Hausdorff,et al.  Toward Automated, At-Home Assessment of Mobility Among Patients With Parkinson Disease, Using a Body-Worn Accelerometer , 2011, Neurorehabilitation and neural repair.