Abstract
Discriminating the two subtypes of tremor dominant (TD) and postural instability/gait difficulty (PIGD) in Parkinson’s disease (PD) at early stage is highly valuable and crucial for progression treatment of disease for caregivers. However, there is no objective method or a subtype-specific biomarker yet available for identifying these two subtypes. A computational approach in frequency domain could be a good candidate to introduce biomarker since PD tremor had frequency range of 3-7 Hz. By using frequency component of the whole body Center Of Pressure (COP) signal, we propose a ratio between high and low frequency range. To evaluate this ratio, COP data of ten PD patients were utilized. The results suggest that identifying PD subtypes is attainable by using the frequency information of COP signals.
| Original language | English (US) |
|---|---|
| Title of host publication | 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017 |
| Publisher | International Society of Automation (ISA) |
| Volume | 2017-March |
| ISBN (Electronic) | 9781945541193 |
| State | Published - Jan 1 2017 |
| Event | 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017 - Denver, United States Duration: Mar 31 2017 → Apr 1 2017 |
Other
| Other | 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 3/31/17 → 4/1/17 |
Keywords
- Center of pressure
- Fourier Transform
- Gait difficulty
- Parkinson’s disease
- Postural instability
- Tremor dominant
ASJC Scopus subject areas
- Bioengineering
- Instrumentation
- Biotechnology
- Biomedical Engineering