Name
Title | ||
|---|---|---|
Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. |
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.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3267305.3267682 | UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Singapore
Singapore
October, 2018 |
Keywords | Field | DocType |
Health, Connected Devices, Statistical Analysis, Machine Learning | Everyday life,Activities of daily living,Connected health,Computer science,Multiple sclerosis,Body weight,Physical medicine and rehabilitation,Multimedia,Statistical analysis | Conference |
ISBN | Citations | PageRank |
978-1-4503-5966-5 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sourav Bhattacharya | 1 | 624 | 52.45 |
| Alberto Gil C. P. Ramos | 2 | 0 | 0.68 |
| Fahim Kawsar | 3 | 909 | 80.24 |
| Nicholas D. Lane | 4 | 4247 | 248.15 |
| Lynn M. Gionta | 5 | 0 | 0.34 |
| Joanne Manidis | 6 | 0 | 0.34 |
| Greg Silvesti | 7 | 0 | 0.34 |
| Matthieu Vegreville | 8 | 0 | 0.34 |