activity
20212023
most citedHealth Guardian Platform: A technology stack to accelerate discovery in Digital Health research

17 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2023★ 10 cited

Health Guardian: Using Multi-modal Data to Understand Individual Health

Vince S. Siu, Kuan Yu Hsieh, Italo Buleje +7

Artificial intelligence (AI) has shown great promise in revolutionizing the field of digital health by improving disease diagnosis, treatment, and prevention. This paper describes…

cs.CY2023★ 10 cited

A Versatile Data Fabric for Advanced IoT-Based Remote Health Monitoring

Italo Buleje, Vince S. Siu, Kuan Yu Hsieh +7

This paper presents a data-centric and security-focused data fabric designed for digital health applications. With the increasing interest in digital health research, there has bee…

cs.HC2023★ 2 cited

Enabling the Evaluation of Driver Physiology Via Vehicle Dynamics

Rodrigo Ordonez-Hurtado, Bo Wen, Nicholas Barra +4

Driving is a daily routine for many individuals across the globe. This paper presents the configuration and methodologies used to transform a vehicle into a connected ecosystem cap…

cs.CY2022★ 17 cited

Health Guardian Platform: A technology stack to accelerate discovery in Digital Health research

Bo Wen, Vince S. Siu, Italo Buleje +8

This paper highlights the design philosophy and architecture of the Health Guardian, a platform developed by the IBM Digital Health team to accelerate discoveries of new digital bi…

cs.CV2021

Towards Automated and Marker-less Parkinson Disease Assessment: Predicting UPDRS Scores using Sit-stand videos

Deval Mehta, Umar Asif, Tian Hao +4

This paper presents a novel deep learning enabled, video based analysis framework for assessing the Unified Parkinsons Disease Rating Scale (UPDRS) that can be used in the clinic o…