Aaron S. Kemp

Researcher

UAMS

Last publication 2025 Last refreshed 2026-05-16

faculty

14 h-index 50 pubs 794 cited

Research Areas

Links

ORCID Lab Website

OverviewAI-generated summary

Aaron S. Kemp's research focuses on the application of machine learning and advanced computational techniques to understand and diagnose neurological disorders, particularly Parkinson's disease and schizophrenia. He has investigated methods for processing voice samples using pre-trained convolutional neural networks and spectrogram images to identify Parkinson's disease. His work also explores the feasibility of telemedicine for research visits in individuals with Parkinson's disease, especially those in medically underserved or rural areas, aiming to improve research accessibility.

Furthermore, Kemp's research extends to the analysis of caregiver burden as expressed in social media discussions. He has also been involved in studies examining the relationship between amplitude settings and dopamine response in finger tapping and gait for Parkinson's disease patients, as well as distinguishing dynamic brain states in Parkinson's disease patients with mild cognitive impairments using neuroimaging data. Kemp collaborates with researchers at the University of Arkansas for Medical Sciences, including Linda Larson‐Prior, Lakshmi Pillai, Tuhin Virmani, and Aliyah Glover.

Metrics

h-index: 14
Publications: 50
Citations: 794

Selected Publications

Pre-trained convolutional neural networks identify Parkinson’s disease from spectrogram images of voice samples (2025)

13 citations DOI OpenAlex
Pre-trained Convolutional Neural Networks Identify Parkinson’s Disease from Spectrogram Images of Voice Samples (2024)

1 citation DOI OpenAlex
Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease (2024)

4 citations DOI OpenAlex
Development and implementation of the frog-in-maze game to study upper limb movement in people with Parkinson’s disease (2023)

3 citations DOI OpenAlex
A machine learning method to process voice samples for identification of Parkinson’s disease (2023)

64 citations DOI OpenAlex
Automated rodent sleep spindle detector: MATLAB app using two complementary search algorithms (2023)

DOI OpenAlex
A Machine Learning Method to Process Voice Samples for Identification of Parkinson’s Disease (2023)

2 citations DOI OpenAlex
235 Use of Community Review Boards to Evaluate the Utility of the ICF Navigator - A Browser-based Tool to Create Plain-Language Informed Consent Forms (2023)

1 citation DOI OpenAlex
Development and Implementation of The Frog-In-Maze Game to Study Upper limb Movement in People with Parkinson’s Disease (2023)

DOI OpenAlex
Analysis of Caregiver Burden Expressed in Social Media Discussions (2023)

15 citations DOI OpenAlex
The informed consent form navigator: a tool for producing readable and compliant consent documents (2022)

2 citations DOI OpenAlex
Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas (2022)

22 citations DOI OpenAlex
Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease (2022)

11 citations DOI OpenAlex
Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES) (2022)

12 citations DOI OpenAlex
Amplitude setting and dopamine response of finger tapping and gait are related in Parkinson’s disease (2021)

DOI OpenAlex