PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease Treatment

要旨

People with Parkinson's Disease (PD) can slow the progression of their symptoms with physical therapy. However, clinicians lack insight into patients’ motor function during daily life, preventing them from tailoring treatment protocols to patient needs. This paper introduces PD-Insighter, a system for comprehensive analysis of a person's daily movements for clinical review and decision-making. PD-Insighter provides an overview dashboard for discovering motor patterns and identifying critical deficits during activities of daily living and an immersive replay for closely studying the patient's body movements with environmental context. Developed using an iterative design study methodology in consultation with clinicians, we found that PD-Insighter's ability to aggregate and display data with respect to time, actions, and local environment enabled clinicians to assess a person's overall functioning during daily life outside the clinic. PD-Insighter's design offers future guidance for generalized multiperspective body motion analytics, which may significantly improve clinical decision-making and slow the functional decline of PD and other medical conditions.

著者
Jade Kandel
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
Chelsea Duppen
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
Qian Zhang
University of North Carolina at Chapel Hill, CHAPEL HILL, North Carolina, United States
Howard Jiang
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
Angelos Angelopoulos
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
Ashley Paula-Ann. Neall
The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
Pranav Wagh
University of North Carolina at Chapel Hill, Chapel HIll, North Carolina, United States
Daniel Szafir
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
Henry Fuchs
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
Michael Lewek
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
Danielle Albers. Szafir
University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, United States
論文URL

doi.org/10.1145/3613904.3642215

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Chronic Conditions A

317
5 件の発表
2024-05-16 01:00:00
2024-05-16 02:20:00