Taha Kahn, Doctoral student (not working at IDT anymore)
Taha’s research explores computerized measurements for diagnosing symptoms of Parkinson’s disease and includes exploring the methods aimed at measuring speech and bodily functions of patients affected by Parkinson’s disease, a promising and important research issue. The focus is on developing signal processing algorithms for Hypokinetic Dysarthria (Speech Disorder due to Parkinson’s disease) assessment. This work is further extended to assess Parkinsonian Gait and Finger Tapping test analysis, which requires extensive work and knowledge of Image Processing and Computer Vision.
Automatic and Objective Assessment of Alternating Tapping Performance in Parkinson’s Disease (Dec 2013) Taha Kahn Sensors (SENSC9)
A computer vision framework for finger-tapping evaluation in Parkinson's disease (Nov 2013) Taha Kahn, Jerker Westin , Dag Nyholm , Mark Dougherty Artificial Intelligence in Medicine (AIIM)
Classification of speech intelligibility in Parkinson's disease (Oct 2013) Taha Kahn, Jerker Westin , Mark Dougherty Biocybernetics and Biomedical Engineering (BBE)
Cepstral separation difference: A novel approach for speech impairment quantification in Parkinson's disease (Jul 2013) Taha Kahn, Jerker Westin , Mark Dougherty Biocybernetics and Biomedical Engineering (BBE)
Computer Vision Methods for Parkinsonian Gait Analysis: A Review on Patents (Feb 2013) Taha Kahn, Dag Nyholm Recent Patents on Biomedical Engineering (RPBE)
Motion Cue Analysis for Parkinsonian Gait Recognition (Oct 2012) Taha Kahn, Jerker Westin , Mark Dougherty The Open Biomedical Engineering Journal (TOBEJ)
| Thesis Title | Status |
|---|---|
| Battery Sensory Data Compression for Narrow Bandwidth IoT Protocols: An Investigation | finished |