Multimodal technologies for remote assessment of neurological and mental health

V Ramanarayanan - Journal of Speech, Language, and Hearing …, 2024 - pubs.asha.org
Purpose: Automated remote assessment and monitoring of patients' neurological and
mental health is increasingly becoming an essential component of the digital clinic and …

Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches

LS Khoo, MK Lim, CY Chong, R McNaney - Sensors, 2024 - mdpi.com
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …

Multimodal speech biomarkers for remote monitoring of ALS disease progression

M Neumann, H Kothare, V Ramanarayanan - Computers in Biology and …, 2024 - Elsevier
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that
severely impacts affected persons' speech and motor functions, yet early detection and …

A multimodal dialog approach to mental state characterization in clinically depressed, anxious, and suicidal populations

J Cohen, V Richter, M Neumann, D Black… - Frontiers in …, 2023 - frontiersin.org
Background The rise of depression, anxiety, and suicide rates has led to increased demand
for telemedicine-based mental health screening and remote patient monitoring (RPM) …

[PDF][PDF] Multimodal Fusion for Vocal Biomarkers Using Vector Cross-Attention

V Despotovic, A Elbéji, PV Nazarov… - Proc. Interspeech …, 2024 - isca-archive.org
Vocal biomarkers are measurable characteristics of person's voice that provide valuable
insights into various aspects of their physiological and psychological state, or health status …

Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: Systematic Literature Review

H Yang, F Chang, D Zhu, M Fumie, Z Liu - arXiv preprint arXiv:2405.10883, 2024 - arxiv.org
This review aims to systematically assess the current status and prospects of artificial
intelligence (AI) in the rehabilitation management of patients with schizophrenia and their …

[PDF][PDF] Towards remote differential diagnosis of mental and neurological disorders using automatically extracted speech and facial features.

V Richter, M Neumann, V Ramanarayanan - ML4CMH@ AAAI, 2024 - vikramr.com
Utilizing computer vision and speech signal processing to assess neurological and mental
conditions remotely has the potential to help detecting diseases or monitoring their …

3rd Workshop on Social Affective Multimodal Interaction for Health (SAMIH)

H Tanaka, S Nakamura, K Shidara, JC Martin… - Proceedings of the …, 2022 - dl.acm.org
This workshop discusses how interactive, multimodal technology such as virtual agents can
be used in social skills training for measuring and training social-affective interactions …

[引用][C] Creating a robust and effective feature selection pipeline in the clinical setting: how to leverage information from multiple modalities to identify features that are …

V Richter - 2023