Design & Development of 3 Degrees of Freedom (DoF) Real-Time Game for Post-Stroke Rehabilitation Using Fitts’ Law & Pattern Recognition / (Record no. 609195)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02442nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 610 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Imran, Urwah |
| 245 ## - TITLE STATEMENT | |
| Title | Design & Development of 3 Degrees of Freedom (DoF) Real-Time Game for Post-Stroke Rehabilitation Using Fitts’ Law & Pattern Recognition / |
| Statement of responsibility, etc. | Urwah Imran |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Islamabad : |
| Name of producer, publisher, distributor, manufacturer | SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 98p. |
| Other physical details | Soft Copy |
| Dimensions | 30cm |
| 500 ## - GENERAL NOTE | |
| General note | This research addresses challenges in stroke rehabilitation by proposing an alternative to<br/>current methods that are often costly and resource-intensive. With limited accessibility to<br/>rehabilitation interventions due to constraints in skilled therapists and advanced<br/>technology, there is a need for innovative solutions. Past research predominantly focused<br/>on 2-DoF systems, limiting exploration in diverse multiple DoF EMG classification<br/>systems. The initial phase of this study involves a comprehensive investigation into the<br/>potential of user-specific non-functional hand movements. By examining 16 distinct wrist<br/>and finger motions using five classifiers (Wide Neural Networks, Ensemble Bagged Trees,<br/>Cubic SVM, Fine KNN, Logistic Regression Kernel), significant differences were<br/>revealed. One-Way Anova testing (p<0.05) revealed significant classifier differences while<br/>Wilicoxon signed-rank tests (p<0.05) distinguished individual finger and wrist getsures.<br/>For the development of a 3-DOF real-time game, specific hand movements were<br/>strategically selected based on the best obtained accuracies. Noteworthy movements<br/>include "Abduction of thumb and flexion of others," "Flexion of all fingers," "Extension<br/>of index and flexion of others”, “Wrist Radial Deviation (Clockwise)”, Wrist Extension”,<br/>and “Wrist Supination Axis: middle finger.” A MATLAB APP DESIGNER-based GUI<br/>was developed with two tabs. Real-time metrics for the designed game exhibited promising<br/>results: a completion rate of 94.22% (±2.74%), throughput of 0.40 bits s−1 (±0.03), path<br/>efficiency of 87.02%, and minimal overshoot of 12.68%. These findings underscore the<br/>game's potential as an effective and engaging tool for stroke rehabilitation, offering a novel<br/>approach to address the challenges associated with current methods. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MS Biomedical Engineering (BME) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor : Dr. Muhammad Asim Waris |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://10.250.8.41:8080/xmlui/handle/123456789/43516">http://10.250.8.41:8080/xmlui/handle/123456789/43516</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Permanent Location | Current Location | Shelving location | Date acquired | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|---|---|
| School of Mechanical & Manufacturing Engineering (SMME) | School of Mechanical & Manufacturing Engineering (SMME) | E-Books | 05/20/2024 | 610 | SMME-TH-1021 | Thesis |