health technology

Statistical and Clinical Utility of Multimodal Dialogue-Based Speech and Facial Metrics for Parkinson's Disease Assessment

Assessment of Atypical Speech in Multiple Sclerosis Via A Multimodal Dialogue Platform: An Exploratory Study

Atypical Speech Acoustics and Jaw Kinematics During Affect Production In Children With Autism Spectrum Disorder Assessed by an Interactive Multimodal Conversational Platform

On Timing and Pronunciation Metrics for Intelligibility Assessment in Pathological ALS Speech

Speech, Facial and Fine Motor Features for Conversation-Based Remote Assessment and Monitoring of Parkinson’s Disease

We present a cloud-based multimodal dialogue platform for the remote assessment and monitoring of speech, facial and fine motor function in Parkinson’s Disease (PD) at scale, along with a preliminary investigation of the efficacy of the various …

On The Feasibility of Remotely Administered and Self Driven Cognitive Assessments Using a Multimodal Dialog Agent

Lessons Learned From A Large-Scale Audio-Visual Remote Data Collection For Amyotrophic Lateral Sclerosis Research

Collecting Remote Voice and Movement Data from People with Parkinson’s Disease (PD) using Multimodal Conversational AI: Lessons Learned from a National Study

Telehealth is increasingly gaining recognition in the fields of neurology and speech-pathology (SLP) as a means of addressing accessibility issues experienced by people with PD. We present one potential solution -- a conversational artificial …

Multimodal Dialog Based Remote Patient Monitoring of Motor Function in Parkinson’s Disease and Other Movement Disorder

The need for remote monitoring to support Parkinson’s Disease (PD) patients, caregivers, and healthcare professionals in their collaborative efforts for better care has never been greater. We have earlier presented Tina, a virtual agent that is …

On the Robust Automatic Computation of Speaking and Articulation Duration in ALS Patients Versus Healthy Controls

Speaking and articulation duration have been shown to be important biomarkers of disorder severity in ALS and other motor speech disorders. While signal processing algorithms afford significant advantages over manual annotation in that they allow for …