Automatic generation of personalised alert thresholds for patients with COPD
Chronic Obstructive Pulmonary Disease (COPD) is a chronic disease predicted to become the third leading cause of death by 2030. Patients with COPD are at risk of exacerbations in their symptoms, which have an adverse effect on their quality of life and may require emergency hospital admission. Using...
Những tác giả chính: | , , , , , |
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Định dạng: | Conference item |
Được phát hành: |
European Signal Processing Conference, EUSIPCO
2014
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_version_ | 1826297739539906560 |
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author | Velardo, C Shah, SA Gibson, O Rutter, H Farmer, A Tarassenko, L |
author_facet | Velardo, C Shah, SA Gibson, O Rutter, H Farmer, A Tarassenko, L |
author_sort | Velardo, C |
collection | OXFORD |
description | Chronic Obstructive Pulmonary Disease (COPD) is a chronic disease predicted to become the third leading cause of death by 2030. Patients with COPD are at risk of exacerbations in their symptoms, which have an adverse effect on their quality of life and may require emergency hospital admission. Using the results of a pilot study of an m-Health system for COPD self-management and tele-monitoring, we demonstrate a data-driven approach for computing personalised alert thresholds to prioritise patients for clinical review. Univariate and multivariate methodologies are used to analyse and fuse daily symptom scores, heart rate, and oxygen saturation measurements. We discuss the benefits of a multivariate kernel density estimator which improves on univariate approaches. |
first_indexed | 2024-03-07T04:36:16Z |
format | Conference item |
id | oxford-uuid:d009d356-e2dc-4cb4-9adc-9f02d26acebc |
institution | University of Oxford |
last_indexed | 2024-03-07T04:36:16Z |
publishDate | 2014 |
publisher | European Signal Processing Conference, EUSIPCO |
record_format | dspace |
spelling | oxford-uuid:d009d356-e2dc-4cb4-9adc-9f02d26acebc2022-03-27T07:47:02ZAutomatic generation of personalised alert thresholds for patients with COPDConference itemhttp://purl.org/coar/resource_type/c_5794uuid:d009d356-e2dc-4cb4-9adc-9f02d26acebcSymplectic Elements at OxfordEuropean Signal Processing Conference, EUSIPCO2014Velardo, CShah, SAGibson, ORutter, HFarmer, ATarassenko, LChronic Obstructive Pulmonary Disease (COPD) is a chronic disease predicted to become the third leading cause of death by 2030. Patients with COPD are at risk of exacerbations in their symptoms, which have an adverse effect on their quality of life and may require emergency hospital admission. Using the results of a pilot study of an m-Health system for COPD self-management and tele-monitoring, we demonstrate a data-driven approach for computing personalised alert thresholds to prioritise patients for clinical review. Univariate and multivariate methodologies are used to analyse and fuse daily symptom scores, heart rate, and oxygen saturation measurements. We discuss the benefits of a multivariate kernel density estimator which improves on univariate approaches. |
spellingShingle | Velardo, C Shah, SA Gibson, O Rutter, H Farmer, A Tarassenko, L Automatic generation of personalised alert thresholds for patients with COPD |
title | Automatic generation of personalised alert thresholds for patients with COPD |
title_full | Automatic generation of personalised alert thresholds for patients with COPD |
title_fullStr | Automatic generation of personalised alert thresholds for patients with COPD |
title_full_unstemmed | Automatic generation of personalised alert thresholds for patients with COPD |
title_short | Automatic generation of personalised alert thresholds for patients with COPD |
title_sort | automatic generation of personalised alert thresholds for patients with copd |
work_keys_str_mv | AT velardoc automaticgenerationofpersonalisedalertthresholdsforpatientswithcopd AT shahsa automaticgenerationofpersonalisedalertthresholdsforpatientswithcopd AT gibsono automaticgenerationofpersonalisedalertthresholdsforpatientswithcopd AT rutterh automaticgenerationofpersonalisedalertthresholdsforpatientswithcopd AT farmera automaticgenerationofpersonalisedalertthresholdsforpatientswithcopd AT tarassenkol automaticgenerationofpersonalisedalertthresholdsforpatientswithcopd |