Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit

Quantitative assessment of parkinsonian tremor based on inertial sensors can provide reliable feedback on the effect of medication. In this regard, the features of parkinsonian tremor and its unique properties such as motor fluctuations and dyskinesia are taken into account. Least-square-estimation models are used to assess the severities of rest, postural, and action tremors. In addition, a time-frequency signal analysis algorithm for tremor state detection was also included in the tremor assessment method. This inertial sensor-based method was verified through comparison with an electromagnetic motion tracking system. Seven Parkinson’s disease (PD) patients were tested using this tremor assessment system. The measured tremor amplitudes correlated well with the judgments of a neurologist (r = 0.98). The systematic analysis of sensor-based tremor quantification and the corresponding experiments could be of great help in monitoring the severity of parkinsonian tremor.

[1]  Marco A. S. Baptista,et al.  A strategy for the generation, characterization and distribution of animal models by The Michael J. Fox Foundation for Parkinson’s Research , 2013, Disease Models & Mechanisms.

[2]  S. Pullman,et al.  Tremor: Clinical Phenomenology and Assessment Techniques , 2012, Tremor and other hyperkinetic movements.

[3]  Nitish V. Thakor,et al.  Adaptive Fourier modeling for quantification of tremor 1 Funding provided by National Institute on Disability and Rehabilitation Research (grant number H133G30064). 1 , 1997, Journal of Neuroscience Methods.

[4]  Tim C. Lueth,et al.  A novel glove monitoring system for quantifying neurological symptoms during deep-brain stimulation surgery , 2014 .

[5]  Jamshed J. Bharucha,et al.  STEVENS’ HANDBOOK OF EXPERIMENTAL PSYCHOLOGY , 2002 .

[6]  Wen-Yen Lin,et al.  A novel accelerometer-based method for the real-time assessment of Parkinson's tremor , 2014, 2014 IEEE International Conference on Communiction Problem-solving.

[7]  Wei Tech Ang,et al.  Estimation of Physiological Tremor from Accelerometers for Real-Time Applications , 2011, Sensors.

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

[9]  J. Matsumoto,et al.  Time-frequency analysis of tremors. , 1998, Brain : a journal of neurology.

[10]  Tim Lüth,et al.  Quantitative evaluation of Parkinson's disease using sensor based smart glove , 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).

[11]  Mirjana B. Popovic,et al.  Adaptive band-pass filter (ABPF) for tremor extraction from inertial sensor data , 2010, Comput. Methods Programs Biomed..

[12]  Danh V. Nguyen,et al.  A Quantitative Assessment of Tremor and Ataxia in Female FMR1 Premutation Carriers Using CATSYS , 2011, Current gerontology and geriatrics research.

[13]  J W Langston,et al.  Quantification of dyskinesia in Parkinson's disease: Validation of a novel instrumental method , 1999, Movement disorders : official journal of the Movement Disorder Society.

[14]  Houde Dai,et al.  Quantitative assessment of tremor during deep brain stimulation using a wearable glove system , 2013, 2013 IEEE International Workshop of Internet-of-Things Networking and Control (IoT-NC).

[15]  G. Deuschl,et al.  Milestones in tremor research , 2011, Movement disorders : official journal of the Movement Disorder Society.

[16]  William G. Ondo,et al.  Handbook of Movement Disorders , 2011 .

[17]  Jens Timmer,et al.  Cross-spectral Analysis of tremor Time Series , 2000, Int. J. Bifurc. Chaos.

[18]  B. Ratcliff,et al.  Handbook of Parkinson's Disease , 1988, The Yale Journal of Biology and Medicine.

[19]  M. Lauk,et al.  Pathological tremors: Deterministic chaos or nonlinear stochastic oscillators? , 2000, Chaos.

[20]  Jens Timmer,et al.  Confidence Regions for Spectral Peak Frequencies , 1997 .

[21]  Houde Dai,et al.  A Novel Glove Monitoring System Used to Quantify Neurological Symptoms During Deep-Brain Stimulation Surgery , 2013, IEEE Sensors Journal.

[22]  J. Jankovic,et al.  Essential tremor quantification during activities of daily living. , 2011, Parkinsonism & related disorders.

[23]  L Ding,et al.  Concurrent Parkinson tremors , 2000, The Journal of physiology.

[24]  Houde Dai,et al.  A portable system for quantitative assessment of parkinsonian rigidity , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[25]  Paul Crawford,et al.  Differentiation and diagnosis of tremor. , 2011, American family physician.

[26]  Jens Timmer,et al.  Characteristics of hand tremor time series , 1993, Biological Cybernetics.

[27]  Serge H. Roy,et al.  Dynamical Learning and Tracking of Tremor and Dyskinesia From Wearable Sensors , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[28]  H. Teräväinen,et al.  Action tremor in Parkinson's disease. , 1980, Journal of neurology, neurosurgery, and psychiatry.

[29]  J. Langston,et al.  Voluntarily simulated tremor in normal subjects , 2002, Neurophysiologie Clinique/Clinical Neurophysiology.

[30]  Kamiar Aminian,et al.  Quantification of Tremor and Bradykinesia in Parkinson's Disease Using a Novel Ambulatory Monitoring System , 2007, IEEE Transactions on Biomedical Engineering.

[31]  J. Jankovic,et al.  Correlation between Kinesia system assessments and clinical tremor scores in patients with essential tremor , 2010, Movement disorders : official journal of the Movement Disorder Society.

[32]  Jan Raethjen,et al.  Tremor amplitude is logarithmically related to 4- and 5-point tremor rating scales. , 2006, Brain : a journal of neurology.

[33]  E. Louis,et al.  How common is the most common adult movement disorder? Update on the worldwide prevalence of essential tremor , 2010, Movement disorders : official journal of the Movement Disorder Society.

[34]  D. Altman,et al.  Applying the right statistics: analyses of measurement studies , 2003, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[35]  Paola Pierleoni,et al.  A real-time system to aid clinical classification and quantification of tremor in Parkinson's disease , 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

[36]  M. Brin,et al.  Consensus Statement of the Movement Disorder Society on Tremor , 2008, Movement disorders : official journal of the Movement Disorder Society.

[37]  Michael Montgomery,et al.  A Wearable Accelerometer System for Unobtrusive Monitoring of Parkinson's Diease Motor Symptoms , 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

[38]  L. Seeberger,et al.  A Home Diary to Assess Functional Status in Patients with Parkinson's Disease with Motor Fluctuations and Dyskinesia , 2000, Clinical neuropharmacology.

[39]  Chris D. Nugent,et al.  WiiPD—Objective Home Assessment of Parkinson's Disease Using the Nintendo Wii Remote , 2012, IEEE Transactions on Information Technology in Biomedicine.

[40]  Houde Dai,et al.  A portable system for quantitative assessment of parkinsonian bradykinesia during deep-brain stimulation surgery , 2013, 2013 2nd International Conference on Advances in Biomedical Engineering.

[41]  W. Ellermeier,et al.  Empirical evaluation of axioms fundamental to Stevens’s ratio-scaling approach: I. Loudness production , 2000, Perception & psychophysics.

[42]  R. Luce,et al.  Measurement, scaling, and psychophysics. , 1988 .

[43]  Tim C. Lueth,et al.  TUM-AgeTech: A New Framework for Pervasive Medical Devices , 2010 .

[44]  Tim Lüth,et al.  Comparison of methods for tremor frequency analysis for patients with Parkinson's disease , 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

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

[46]  C. Gray,et al.  Dynamics of tremor-related oscillations in the human globus pallidus: a single case study. , 1999, Proceedings of the National Academy of Sciences of the United States of America.