Quantifying neurological disorders from voice is a rapidly growing field of research and
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …

Abstract Motor Neuron Disease (MND) is a progressive and largely fatal neurodegeneritve
disorder with a lifetime risk of approximately 1 in 300. At diagnosis, up to 25% of people with …

Despite recent and potent technological advances, the real-world implementation of remote
digital health technology in the care and monitoring of patients with motor neuron disease …

Introduction: Changes in speech have the potential to provide important information on the
diagnosis and progression of various neurological diseases. Many researchers have relied …

Hippocratic Medicine revolved around the three main principles of patient, disease, and
physician and promoted the systematic observation of patients, rational reasoning, and …

Bulbar deterioration in amyotrophic lateral sclerosis (ALS) is a devastating characteristic that
impairs patients' ability to communicate, and is linked to shorter survival. The existing clinical …

Purpose: Identifying efficacious measures to characterize dysphonia in complex
neurodegenerative diseases is key to optimal assessment and intervention. This study …

Introduction Accuracy and validity of voice AI algorithms rely on substantial quality voice
data. Although commensurable amounts of voice data are captured daily in voice centers …

Objective: Although studies have shown that digital measures of speech detected ALS
speech impairment and correlated with the ALSFRS-R speech item, no study has yet …

Approximately 80–96% of people with amyotrophic lateral sclerosis (ALS) become unable to
speak during the disease progression. Assessing upper and lower motor neuron impairment …