Parkinsons Telemonitoring
Oxford Parkinson's Disease Telemonitoring Dataset
Characteristics
Subject Area
Associated Tasks
Attribute Type
# Instances
# Attributes
Info
This dataset is composed of a range of biomedical voice measurements from 42 people with early-stage Parkinson's disease recruited to a six-month trial of a telemonitoring device for remote symptom progression monitoring. The recordings were automatically captured in the patient's homes.
Columns in the table contain subject number, subject age, subject gender, time interval from baseline recruitment date, motor UPDRS, total UPDRS, and 16 biomedical voice measures. Each row corresponds to one of 5,875 voice recording from these individuals. The main aim of the data is to predict the motor and total UPDRS scores ('motor_UPDRS' and 'total_UPDRS') from the 16 voice measures.
The data is in ASCII CSV format. The rows of the CSV file contain an instance corresponding to one voice recording. There are around 200 recordings per patient, the subject number of the patient is identified in the first column. For further information or to pass on comments, please contact Athanasios Tsanas (tsanasthanasis@gmail.com) or Max Little (littlem@physics.ox.ac.uk).
Further details are contained in the following reference -- if you use this dataset, please cite:
Athanasios Tsanas, Max A. Little, Patrick E. McSharry, Lorraine O. Ramig (2009),
'Accurate telemonitoring of Parkinson’s disease progression by non-invasive speech tests',
IEEE Transactions on Biomedical Engineering (to appear).
Further details about the biomedical voice measures can be found in:
Max A. Little, Patrick E. McSharry, Eric J. Hunter, Lorraine O. Ramig (2009),
'Suitability of dysphonia measurements for telemonitoring of Parkinson's disease',
IEEE Transactions on Biomedical Engineering, 56(4):1015-1022
Introductory Paper
Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests
By A. Tsanas, Max A. Little, P. McSharry, L. Ramig. 2010
Provided by
University of California, Irvine
Creators
- Athanasios Tsanas
- Max Little
DOI
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Features
| Attribute Name | Role | Type | Demographic | Description | Units | Missing Values |
|---|---|---|---|---|---|---|
| subject# | ID | Integer | Integer that uniquely identifies each subject | no | ||
| age | Feature | Integer | Age | Subject age | no | |
| test_time | Feature | Continuous | Time since recruitment into the trial. The integer part is the number of days since recruitment. | no | ||
| Jitter(%) | Feature | Continuous | Several measures of variation in fundamental frequency | no | ||
| Jitter(Abs) | Feature | Continuous | Several measures of variation in fundamental frequency | no | ||
| Jitter:RAP | Feature | Continuous | Several measures of variation in fundamental frequency | no | ||
| Jitter:PPQ5 | Feature | Continuous | Several measures of variation in fundamental frequency | no | ||
| Jitter:DDP | Feature | Continuous | Several measures of variation in fundamental frequency | no | ||
| Shimmer | Feature | Continuous | Several measures of variation in amplitude | no | ||
| Shimmer(dB) | Feature | Continuous | Several measures of variation in amplitude | no | ||
| Shimmer:APQ3 | Feature | Continuous | Several measures of variation in amplitude | no | ||
| Shimmer:APQ5 | Feature | Continuous | Several measures of variation in amplitude | no | ||
| Shimmer:APQ11 | Feature | Continuous | Several measures of variation in amplitude | no | ||
| Shimmer:DDA | Feature | Continuous | Several measures of variation in amplitude | no | ||
| NHR | Feature | Continuous | Two measures of ratio of noise to tonal components in the voice | no | ||
| HNR | Feature | Continuous | Two measures of ratio of noise to tonal components in the voice | no | ||
| RPDE | Feature | Continuous | A nonlinear dynamical complexity measure | no | ||
| DFA | Feature | Continuous | Signal fractal scaling exponent | no | ||
| PPE | Feature | Continuous | A nonlinear measure of fundamental frequency variation | no | ||
| motor_UPDRS | Target | Continuous | Clinician's motor UPDRS score, linearly interpolated | no | ||
| total_UPDRS | Target | Continuous | Clinician's total UPDRS score, linearly interpolated | no | ||
| sex | Feature | Binary | Sex | Subject sex '0' - male, '1' - female | no |