Gaussian processes for personalized e-health monitoring with wearable sensors
Advances in wearable sensing and communications infrastructure have allowed the widespread development of prototype medical devices for patient monitoring. However, such devices have not penetrated into clinical practice, primarily due to a lack of research into “intelligent” analysis methods that a...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
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IEEE
2012
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| _version_ | 1826291069697916928 |
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| author | Clifton, L Clifton, D Pimentel, M Watkinson, P Tarassenko, L |
| author_facet | Clifton, L Clifton, D Pimentel, M Watkinson, P Tarassenko, L |
| author_sort | Clifton, L |
| collection | OXFORD |
| description | Advances in wearable sensing and communications infrastructure have allowed the widespread development of prototype medical devices for patient monitoring. However, such devices have not penetrated into clinical practice, primarily due to a lack of research into “intelligent” analysis methods that are sufficiently robust to support large-scale deployment. Existing systems are typically plagued by large false-alarm rates, and an inability to cope with sensor artifact in a principled manner. This paper has two aims: 1) proposal of a novel, patient-personalized system for analysis and inference in the presence of data uncertainty, typically caused by sensor artifact and data incompleteness; 2) demonstration of the method using a large-scale clinical study in which 200 patients have been monitored using the proposed system. This latter provides much-needed evidence that personalized e-health monitoring is feasible within an actual clinical environment, at scale, and that the method is capable of improving patient outcomes via personalized healthcare. |
| first_indexed | 2024-03-07T02:53:51Z |
| format | Journal article |
| id | oxford-uuid:ae9ab314-b2d5-49b9-a9aa-9620a1dbda5a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T02:53:51Z |
| publishDate | 2012 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oxford-uuid:ae9ab314-b2d5-49b9-a9aa-9620a1dbda5a2022-03-27T03:43:44ZGaussian processes for personalized e-health monitoring with wearable sensorsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ae9ab314-b2d5-49b9-a9aa-9620a1dbda5aEnglishSymplectic Elements at OxfordIEEE2012Clifton, LClifton, DPimentel, MWatkinson, PTarassenko, LAdvances in wearable sensing and communications infrastructure have allowed the widespread development of prototype medical devices for patient monitoring. However, such devices have not penetrated into clinical practice, primarily due to a lack of research into “intelligent” analysis methods that are sufficiently robust to support large-scale deployment. Existing systems are typically plagued by large false-alarm rates, and an inability to cope with sensor artifact in a principled manner. This paper has two aims: 1) proposal of a novel, patient-personalized system for analysis and inference in the presence of data uncertainty, typically caused by sensor artifact and data incompleteness; 2) demonstration of the method using a large-scale clinical study in which 200 patients have been monitored using the proposed system. This latter provides much-needed evidence that personalized e-health monitoring is feasible within an actual clinical environment, at scale, and that the method is capable of improving patient outcomes via personalized healthcare. |
| spellingShingle | Clifton, L Clifton, D Pimentel, M Watkinson, P Tarassenko, L Gaussian processes for personalized e-health monitoring with wearable sensors |
| title | Gaussian processes for personalized e-health monitoring with wearable sensors |
| title_full | Gaussian processes for personalized e-health monitoring with wearable sensors |
| title_fullStr | Gaussian processes for personalized e-health monitoring with wearable sensors |
| title_full_unstemmed | Gaussian processes for personalized e-health monitoring with wearable sensors |
| title_short | Gaussian processes for personalized e-health monitoring with wearable sensors |
| title_sort | gaussian processes for personalized e health monitoring with wearable sensors |
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