Classifying nocturnal blood pressure patterns using photoplethysmogram features
Circadian rhythms in blood pressure (BP) may in some cases be indicative of an increased risk of adverse cardiovascular events. However, current methods for assessing these rhythms can be disruptive to sleep, work, and daily activities. Features of the photoplethysmogram (PPG), which can be non-inva...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
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IEEE
2022
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| _version_ | 1797108327109361664 |
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| author | Finnegan, E Davidson, S Harford, M Jorge, J Villarroel, M Tarassenko, L |
| author_facet | Finnegan, E Davidson, S Harford, M Jorge, J Villarroel, M Tarassenko, L |
| author_sort | Finnegan, E |
| collection | OXFORD |
| description | Circadian rhythms in blood pressure (BP) may in some cases be indicative of an increased risk of adverse cardiovascular events. However, current methods for assessing these rhythms can be disruptive to sleep, work, and daily activities. Features of the photoplethysmogram (PPG), which can be non-invasively and unobtrusively recorded, have been suggested as surrogate measures of BP. This work investigates the presence of a circadian rhythm in these features and evaluates their potential to classify nocturnal BP patterns. 742 patients who were discharged home from the ICU were selected from the MIMIC-III database. Our results show that a number of PPG features exhibit a clear and observable circadian rhythm. Of the 19 features evaluated, the circadian rhythms of 5 features outperformed heart rate (HR) in terms of correlation with the circadian rhythm of SBP ( ). We also present evidence that a metric combining the PPG features significantly improves BP phenotype classification accuracy. Clinical Relevance-This work suggests that a combined metric of PPG features may be able to accurately assess an individual's circadian rhythm of BP. |
| first_indexed | 2024-03-07T07:27:37Z |
| format | Conference item |
| id | oxford-uuid:937944f1-a13d-498f-b568-9e2ea7186d5c |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:27:37Z |
| publishDate | 2022 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oxford-uuid:937944f1-a13d-498f-b568-9e2ea7186d5c2022-11-28T10:59:24ZClassifying nocturnal blood pressure patterns using photoplethysmogram featuresConference itemhttp://purl.org/coar/resource_type/c_5794uuid:937944f1-a13d-498f-b568-9e2ea7186d5cEnglishSymplectic ElementsIEEE2022Finnegan, EDavidson, SHarford, MJorge, JVillarroel, MTarassenko, LCircadian rhythms in blood pressure (BP) may in some cases be indicative of an increased risk of adverse cardiovascular events. However, current methods for assessing these rhythms can be disruptive to sleep, work, and daily activities. Features of the photoplethysmogram (PPG), which can be non-invasively and unobtrusively recorded, have been suggested as surrogate measures of BP. This work investigates the presence of a circadian rhythm in these features and evaluates their potential to classify nocturnal BP patterns. 742 patients who were discharged home from the ICU were selected from the MIMIC-III database. Our results show that a number of PPG features exhibit a clear and observable circadian rhythm. Of the 19 features evaluated, the circadian rhythms of 5 features outperformed heart rate (HR) in terms of correlation with the circadian rhythm of SBP ( ). We also present evidence that a metric combining the PPG features significantly improves BP phenotype classification accuracy. Clinical Relevance-This work suggests that a combined metric of PPG features may be able to accurately assess an individual's circadian rhythm of BP. |
| spellingShingle | Finnegan, E Davidson, S Harford, M Jorge, J Villarroel, M Tarassenko, L Classifying nocturnal blood pressure patterns using photoplethysmogram features |
| title | Classifying nocturnal blood pressure patterns using photoplethysmogram features |
| title_full | Classifying nocturnal blood pressure patterns using photoplethysmogram features |
| title_fullStr | Classifying nocturnal blood pressure patterns using photoplethysmogram features |
| title_full_unstemmed | Classifying nocturnal blood pressure patterns using photoplethysmogram features |
| title_short | Classifying nocturnal blood pressure patterns using photoplethysmogram features |
| title_sort | classifying nocturnal blood pressure patterns using photoplethysmogram features |
| work_keys_str_mv | AT finnegane classifyingnocturnalbloodpressurepatternsusingphotoplethysmogramfeatures AT davidsons classifyingnocturnalbloodpressurepatternsusingphotoplethysmogramfeatures AT harfordm classifyingnocturnalbloodpressurepatternsusingphotoplethysmogramfeatures AT jorgej classifyingnocturnalbloodpressurepatternsusingphotoplethysmogramfeatures AT villarroelm classifyingnocturnalbloodpressurepatternsusingphotoplethysmogramfeatures AT tarassenkol classifyingnocturnalbloodpressurepatternsusingphotoplethysmogramfeatures |