Physical activity and sleep analysis of heart failure patients using multi-sensor patches
Traditional heart failure markers fail to reliably predict heart-failure related hospitalisations and deaths. Multi-sensor patch data can provide an objective insight into activity and sleep patterns of patients and may therefore improve the performance of current risk-quantification algorithms. Thi...
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2018
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| _version_ | 1826305253462507520 |
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| author | O'Donnell, J Velardo, C Shah, SA Khorshidi, GS Salvi, D Rahimi, K Tarassenko, L |
| author_facet | O'Donnell, J Velardo, C Shah, SA Khorshidi, GS Salvi, D Rahimi, K Tarassenko, L |
| author_sort | O'Donnell, J |
| collection | OXFORD |
| description | Traditional heart failure markers fail to reliably predict heart-failure related hospitalisations and deaths. Multi-sensor patch data can provide an objective insight into activity and sleep patterns of patients and may therefore improve the performance of current risk-quantification algorithms. This work aimed to establish the feasibility of collecting multi-sensor patch data from heart failure patients and to perform an initial analysis of activity and sleep patterns of heart failure patients in relation to disease severity. 13 heart failure patients from the SUPPORT-HF study were provided with chest-worn multi-sensor patches and asked to wear the devices continuously for up to seven consecutive days. Using a combination of impedance, heart rate and accelerometer data participants' sleep and wakefulness information were extracted and analyzed in relation to self-reported symptom scores. Patch data for eleven patients were of high enough quality to be included in the analysis, accounting for 63 patient days worth of data. The heart failure patients slept for an average of 8.3 hours a night and experienced 2.8 sleep interruptions. Potential differences in sleep angle, heart rate and wake-time activity were found for patients with different heart failure severity. Larger studies are necessary to create a more coherent picture of the potential of activity and sleep as a markers for heart failure deterioration. |
| first_indexed | 2024-03-07T06:30:06Z |
| format | Conference item |
| id | oxford-uuid:f5b44832-e228-4452-ad4e-82c9076029b7 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T06:30:06Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | oxford-uuid:f5b44832-e228-4452-ad4e-82c9076029b72022-03-27T12:29:16ZPhysical activity and sleep analysis of heart failure patients using multi-sensor patchesConference itemhttp://purl.org/coar/resource_type/c_5794uuid:f5b44832-e228-4452-ad4e-82c9076029b7Symplectic Elements at OxfordInstitute of Electrical and Electronics Engineers2018O'Donnell, JVelardo, CShah, SAKhorshidi, GSSalvi, DRahimi, KTarassenko, LTraditional heart failure markers fail to reliably predict heart-failure related hospitalisations and deaths. Multi-sensor patch data can provide an objective insight into activity and sleep patterns of patients and may therefore improve the performance of current risk-quantification algorithms. This work aimed to establish the feasibility of collecting multi-sensor patch data from heart failure patients and to perform an initial analysis of activity and sleep patterns of heart failure patients in relation to disease severity. 13 heart failure patients from the SUPPORT-HF study were provided with chest-worn multi-sensor patches and asked to wear the devices continuously for up to seven consecutive days. Using a combination of impedance, heart rate and accelerometer data participants' sleep and wakefulness information were extracted and analyzed in relation to self-reported symptom scores. Patch data for eleven patients were of high enough quality to be included in the analysis, accounting for 63 patient days worth of data. The heart failure patients slept for an average of 8.3 hours a night and experienced 2.8 sleep interruptions. Potential differences in sleep angle, heart rate and wake-time activity were found for patients with different heart failure severity. Larger studies are necessary to create a more coherent picture of the potential of activity and sleep as a markers for heart failure deterioration. |
| spellingShingle | O'Donnell, J Velardo, C Shah, SA Khorshidi, GS Salvi, D Rahimi, K Tarassenko, L Physical activity and sleep analysis of heart failure patients using multi-sensor patches |
| title | Physical activity and sleep analysis of heart failure patients using multi-sensor patches |
| title_full | Physical activity and sleep analysis of heart failure patients using multi-sensor patches |
| title_fullStr | Physical activity and sleep analysis of heart failure patients using multi-sensor patches |
| title_full_unstemmed | Physical activity and sleep analysis of heart failure patients using multi-sensor patches |
| title_short | Physical activity and sleep analysis of heart failure patients using multi-sensor patches |
| title_sort | physical activity and sleep analysis of heart failure patients using multi sensor patches |
| work_keys_str_mv | AT odonnellj physicalactivityandsleepanalysisofheartfailurepatientsusingmultisensorpatches AT velardoc physicalactivityandsleepanalysisofheartfailurepatientsusingmultisensorpatches AT shahsa physicalactivityandsleepanalysisofheartfailurepatientsusingmultisensorpatches AT khorshidigs physicalactivityandsleepanalysisofheartfailurepatientsusingmultisensorpatches AT salvid physicalactivityandsleepanalysisofheartfailurepatientsusingmultisensorpatches AT rahimik physicalactivityandsleepanalysisofheartfailurepatientsusingmultisensorpatches AT tarassenkol physicalactivityandsleepanalysisofheartfailurepatientsusingmultisensorpatches |