Passive Monitoring at Home: A Pilot Study in Parkinson Disease
We conducted a pilot study using a passive radio-wave-based home monitor in individuals with Parkinson disease (PD) with a focus on gait, home activity, and time in bed. We enrolled 7 ambulatory individuals to have the device installed in the bedroom of their homes over 8 weeks and performed standar...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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S. Karger AG
2021
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| Online Access: | https://hdl.handle.net/1721.1/129463 |
| _version_ | 1826212810855546880 |
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| author | Kabelac, Zachary E. Tarolli, Christopher G. Snyder, Christopher Feldman, Blake Glidden, Alistair Hsu, Chen-Yu Hristov, Rumen H. Dorsey, E. Ray Katabi, Dina |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Kabelac, Zachary E. Tarolli, Christopher G. Snyder, Christopher Feldman, Blake Glidden, Alistair Hsu, Chen-Yu Hristov, Rumen H. Dorsey, E. Ray Katabi, Dina |
| author_sort | Kabelac, Zachary E. |
| collection | MIT |
| description | We conducted a pilot study using a passive radio-wave-based home monitor in individuals with Parkinson disease (PD) with a focus on gait, home activity, and time in bed. We enrolled 7 ambulatory individuals to have the device installed in the bedroom of their homes over 8 weeks and performed standard PD assessments at baseline. We evaluated the ability of the device to objectively measure gait and time in bed and to generate novel visualizations of home activity. We captured 353 days of monitoring. Mean gait speed (0.39-0.78 m/s), time in bed per day (4.4-12.1 h), and number (1.4-5.9) and duration (15.0-49.8 min) of nightly awakenings varied substantially across and within individuals. Derived gait speed correlated well with the Movement Disorder Society-Unified Parkinson's Disease Rating Scale total (r = -0.88, p = 0.009) and motor sub-score (r = -0.95, p = 0.001). Six of the seven participants agreed that their activity was typical and indicated a willingness to continue monitoring. This technology provided promising new insights into the home activities of those with PD and may be broadly applicable to other chronic conditions. |
| first_indexed | 2024-09-23T15:38:16Z |
| format | Article |
| id | mit-1721.1/129463 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:38:16Z |
| publishDate | 2021 |
| publisher | S. Karger AG |
| record_format | dspace |
| spelling | mit-1721.1/1294632022-09-29T15:12:11Z Passive Monitoring at Home: A Pilot Study in Parkinson Disease Kabelac, Zachary E. Tarolli, Christopher G. Snyder, Christopher Feldman, Blake Glidden, Alistair Hsu, Chen-Yu Hristov, Rumen H. Dorsey, E. Ray Katabi, Dina Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory We conducted a pilot study using a passive radio-wave-based home monitor in individuals with Parkinson disease (PD) with a focus on gait, home activity, and time in bed. We enrolled 7 ambulatory individuals to have the device installed in the bedroom of their homes over 8 weeks and performed standard PD assessments at baseline. We evaluated the ability of the device to objectively measure gait and time in bed and to generate novel visualizations of home activity. We captured 353 days of monitoring. Mean gait speed (0.39-0.78 m/s), time in bed per day (4.4-12.1 h), and number (1.4-5.9) and duration (15.0-49.8 min) of nightly awakenings varied substantially across and within individuals. Derived gait speed correlated well with the Movement Disorder Society-Unified Parkinson's Disease Rating Scale total (r = -0.88, p = 0.009) and motor sub-score (r = -0.95, p = 0.001). Six of the seven participants agreed that their activity was typical and indicated a willingness to continue monitoring. This technology provided promising new insights into the home activities of those with PD and may be broadly applicable to other chronic conditions. National Institute of Neurological Disorders and Stroke (Grants P20 NS092529-02, P50 NS108676-01). 2021-01-20T15:15:41Z 2021-01-20T15:15:41Z 2019-04 2020-12-23T16:26:55Z Article http://purl.org/eprint/type/JournalArticle 2504-110X https://hdl.handle.net/1721.1/129463 Kabelac, Zachary et al. "Passive Monitoring at Home: A Pilot Study in Parkinson Disease." Digital Biomarkers 3, 1 (April 2019): 22–30 © 2019 The Author(s) en http://dx.doi.org/10.1159/000498922 Digital Biomarkers Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf S. Karger AG Digital Biomarkers |
| spellingShingle | Kabelac, Zachary E. Tarolli, Christopher G. Snyder, Christopher Feldman, Blake Glidden, Alistair Hsu, Chen-Yu Hristov, Rumen H. Dorsey, E. Ray Katabi, Dina Passive Monitoring at Home: A Pilot Study in Parkinson Disease |
| title | Passive Monitoring at Home: A Pilot Study in Parkinson Disease |
| title_full | Passive Monitoring at Home: A Pilot Study in Parkinson Disease |
| title_fullStr | Passive Monitoring at Home: A Pilot Study in Parkinson Disease |
| title_full_unstemmed | Passive Monitoring at Home: A Pilot Study in Parkinson Disease |
| title_short | Passive Monitoring at Home: A Pilot Study in Parkinson Disease |
| title_sort | passive monitoring at home a pilot study in parkinson disease |
| url | https://hdl.handle.net/1721.1/129463 |
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