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).

Remote Medication Status Prediction for Individuals with Parkinson's Disease using Time-series Data from Smartphones

no code implementations • 26 Jul 2022 • Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo

Medication for neurological diseases such as the Parkinson's disease usually happens remotely away from hospitals.

Time Series Time Series Analysis

Facial expressions can detect Parkinson's disease: preliminary evidence from videos collected online

no code implementations • 9 Dec 2020 • Mohammad Rafayet Ali, Taylor Myers, Ellen Wagner, Harshil Ratnu, E. Ray Dorsey, Ehsan Hoque

One of the symptoms of Parkinson's disease (PD) is hypomimia or reduced facial expressions.

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data

no code implementations • 25 Sep 2020 • Weijian Li, Wei Zhu, E. Ray Dorsey, Jiebo Luo

Parkinsons Disease is a neurological disorder and prevalent in elderly people.

Time Series Time Series Analysis

High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection

2 code implementations • 5 Jan 2016 • Andong Zhan, Max A. Little, Denzil A. Harris, Solomon O. Abiola, E. Ray Dorsey, Suchi Saria, Andreas Terzis

Objective: The aim of this study is to develop a smartphone-based high-frequency remote monitoring platform, assess its feasibility for remote monitoring of symptoms in Parkinson's disease, and demonstrate the value of data collected using the platform by detecting dopaminergic medication response.

Computers and Society