A Novel Fusion Architecture for PD Detection Using Semi-Supervised Speech Embeddings

no code implementations • 21 May 2024 • Tariq Adnan, Abdelrahman Abdelkader, Zipei Liu, Ekram Hossain, Sooyong Park, Md Saiful Islam, Ehsan Hoque

We present a framework to recognize Parkinson's disease (PD) through an English pangram utterance speech collected using a web application from diverse recording settings and environments, including participants' homes.

PARK: Parkinson's Analysis with Remote Kinetic-tasks

no code implementations • 21 Nov 2023 • Md Saiful Islam, Sangwu Lee, Abdelrahman Abdelkader, Sooyong Park, Ehsan Hoque

We present a web-based framework to screen for Parkinson's disease (PD) by allowing users to perform neurological tests in their homes.

Using AI to Measure Parkinson's Disease Severity at Home

no code implementations • 30 Mar 2023 • Md Saiful Islam, Wasifur Rahman, Abdelrahman Abdelkader, Phillip T. Yang, Sangwu Lee, Jamie L. Adams, Ruth B. Schneider, E. Ray Dorsey, Ehsan Hoque

We present an artificial intelligence system to remotely assess the motor performance of individuals with Parkinson's disease (PD).

Auto-Gait: Automatic Ataxia Risk Assessment with Computer Vision on Gait Task Videos

1 code implementation • 15 Mar 2022 • Wasifur Rahman, Masum Hasan, Md Saiful Islam, Titilayo Olubajo, Jeet Thaker, Abdelrahman Abdelkader, Phillip Yang, Tetsuo Ashizawa, Ehsan Hoque

In this paper, we investigated whether we can 1) detect participants with ataxia-specific gait characteristics (risk-prediction), and 2) assess severity of ataxia from gait (severity-assessment) using computer vision.

Clinical Knowledge Feature Importance