Issue title: Mental Dysfunction in Parkinson's Disease
Article type: Research Article
Authors: Bhidayasiri, Roongroj; | Petchrutchatachart, Sitthi | Pongthornseri, Ronachai | Anan, Chanawat | Dumnin, Songphon | Thanawattano, Chusak
Affiliations: Chulalongkorn Center of Excellence on Parkinson Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand | Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA | Biomedical Signal Processing Laboratory, National Electronics and Computer Technology Center (NECTEC), Pathumthani, Thailand
Note: [] Correspondence to: Roongroj Bhidayasiri, MD, FRCP, FRCPI, Chulalongkorn Center of Excellence on Parkinson Disease & Related Disorders, Chulalongkorn University Hospital, 1873 Rama 4 Road, Bangkok 10330, Thailand. Tel.: +662 256 4627; Fax: +662 256 4630; E-mail: [email protected]
Abstract: Background: Tremors are common clinical complaints among the elderly and non-specialist physicians frequently are challenged by the need to provide an accurate diagnosis of various tremor syndromes, particularly Parkinson's disease and essential tremor in their busy practices. Objective: We sought to develop an easy-to-use, mobile robust, accurate, and cost-effective instrument that can objectively quantify tremors. Method: The low-cost, 3-dimension, inertial sensors were developed for automated tremor assessment. The main sensor unit consists of a 3-axis accelerometer and a 3-axis gyroscope for the purpose of measuring the tilting angle relative to the gravity, linear acceleration, and angular velocity of the body segments affected by tremors. The transmitter consists of five main modules, including a microcontroller, power management module, sensor module, external memory interface module, and Bluetooth™ communication interface module, which connects to the sensors by a thin wire. The signal processing utilized fast Fourier transform analysis to include RMS angular rate, RMS angle, RMS rate, RMS velocity, peak frequency, peak frequency magnitude, and dispersion of frequency as variables. Result: The prototype was tested with a tremor simulator at programmable angular rates of 2-, 4-, and 8-Hz confirming its accuracy. Twenty subjects (10 PD and 10 age-matched ET patients) participated as part of the experimental verification to perform three tremor tasks, including rest, postural, and kinetic tremor according to the teaching videotape of the motor section of the UPDRS. The mean peak frequency was significantly lower in PD than ET patients at rest on the x- (p < 0.01) and z-axis (p < 0.01). In PD patients, the RMS angular rate, RMS angle, RMS rate, RMS velocity, and peak magnitude were all significantly higher than those values in ET patient at rest while the data was not significantly difference during postural and kinetic actions. ET patients had significantly higher peak frequency during postural action in the y-axis than PD patients (p < 0.05). Conclusion: The study provides the technical development of an accurate, inexpensive, and simple method to measure the kinematics of tremor in humans. Further studies are warranted to confirm the validity of each parameter and the diagnostic accuracy in each tremor syndrome.
Keywords: Tremor, Parkinson's disease, essential tremor, inertial sensors, accelerometer, gyroscope
DOI: 10.3233/JPD-130311
Journal: Journal of Parkinson's Disease, vol. 4, no. 2, pp. 273-282, 2014
