Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices

Conference paper (2018)

Authors

Sourav Bhattacharya Nokia Bell Labs
P. Ramos Nokia Bell Labs
F. Kawsar Nokia Bell Labs,
Nicholas D. Lane University of Oxford, Nokia Bell Labs
Lynn M. Gionta Teva Branded Pharmaceutical Products R&D, Inc.
Joanne Manidis Teva Branded Pharmaceutical Products R&D, Inc.
Greg Silvesti Teva Branded Pharmaceutical Products R&D, Inc.
Mathieu Vegreville Nokia, Paris
Machine learning Statistical analysis Health Connected devices
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Published Date

2018

Language

English

Reuse Rights

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Abstract

We report results from a pilot study that focuses mainly on understanding the everyday life quality of patients suffering from multiple sclerosis through the lens of connected Nokia Health devices. Our dataset comprises of 198 individuals (184 females and 14 males) and the study lasted over six months. By analyzing carefully crafted user-studies and correlating with personal sensor data collected with Nokia devices, we found that the level of fatigue is one of the main sources of discomfort across the majority of the patients. We further perform an exploratory analysis, which provides an early indication that by actively monitoring and perturbing users' daily activity levels, such as increasing daily step-counts, sleep duration and decreasing body weight, patients can potentially reduce their daily fatigue level.

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