Name
Title | ||
|---|---|---|
Quantification Assessment Of Bradykinesia In Parkinson'S Disease Based On A Wearable Device |
Abstract | ||
|---|---|---|
Bradykinesia is one of the primary characteristic symptoms of Parkinson's disease (PD). Ten-second whole-hand-grasps action was chosen to assess bradykinesia severity in this study. A quantification assessment system based on a self-developed wearable device was proposed to assess the severity of the parkinsonian bradykinesia. The proposed assessment method used an attitude-estimation algorithm to extract the parkinsonian bradykinesia parameters. A regression model was adopted to fit the characteristic parameters with the clinical UPDRS ratings judged by neurologists. Clinical experiment with 15 PD patients and 5 age-matched healthy controls demonstrated that the predicted bradykinesia scores by proposed model correlated well with the judgments of neurologists (r(2) = 0.99). The proposed quantification model demonstrated the greater goodness-of-fit compared with the related works. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/EMBC.2017.8036946 | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Parkinson's disease,Wearable computer,Physical therapy,Psychology,Physical medicine and rehabilitation | Conference | 2017 |
ISSN | Citations | PageRank |
1094-687X | 0 | 0.34 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhirong Lin | 1 | 0 | 4.06 |
| Houde Dai | 2 | 28 | 12.11 |
| Yongsheng Xiong | 3 | 0 | 1.01 |
| Xuke Xia | 4 | 0 | 1.35 |
| Shi-Jinn Horng | 5 | 1667 | 124.50 |