Name
Title | ||
|---|---|---|
A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States. |
Abstract | ||
|---|---|---|
The goal of this study was to develop an algorithm that automatically quantifies motor states (off, on, dyskinesia) in Parkinson's disease (PD), based on accelerometry during a hand pronation-supination test. Clinician's ratings using the Treatment Response Scale (TRS), ranging from -3 (very Off) to 0 (On) to +3 (very dyskinetic), were used as target. For that purpose, 19 participants with advance... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JBHI.2017.2777926 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Diseases,Feature extraction,Accelerometers,Sensor phenomena and characterization,Wearable sensors,Wrist | Parkinson's disease,Approximate entropy,Pattern recognition,Accelerometer,Computer science,Support vector machine,Feature extraction,Correlation,Artificial intelligence,Physical medicine and rehabilitation,Cross-validation,Intraclass correlation | Journal |
Volume | Issue | ISSN |
22 | 5 | 2168-2194 |
Citations | PageRank | References |
5 | 0.57 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ilias Thomas | 1 | 5 | 1.25 |
| Jerker Westin | 2 | 61 | 10.63 |
| moudud alam | 3 | 7 | 1.65 |
| filip bergquist | 4 | 12 | 1.96 |
| Dag Nyholm | 5 | 69 | 11.95 |
| Marina Senek | 6 | 8 | 1.35 |
| Mevludin Memedi | 7 | 37 | 8.43 |