Using Sensor Signals in the Early Detection of Heart Failure: A Case Study
| Autor: | Lorenzo Sala, Chelsea B Deroche, Mihail Popescu, Giovanna Guidoboni, Marjorie Skubic, Moein Enayati, Laurel Despins |
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| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Cardiac output Respiratory rate Diastole Gerontological nursing Early detection Ballistocardiography 03 medical and health sciences 0302 clinical medicine Heart Rate Internal medicine medicine Humans Diastolic function 030212 general & internal medicine Respiratory system General Nursing Aged 80 and over Heart Failure 030504 nursing business.industry medicine.disease Early Diagnosis Heart failure Remote Sensing Technology Cardiology Female 0305 other medical science business Gerontology |
| Zdroj: | Journal of Gerontological Nursing. 46:41-46 |
| ISSN: | 1938-243X 0098-9134 |
| DOI: | 10.3928/00989134-20200605-07 |
| Popis: | Early detection of heart failure in older adults will be a significant issue for the foreseeable future. The current article presents a case study to describe how monitoring ballistocardiogram (BCG) waveforms captured non-invasively using sensors placed under a bed mattress can detect early heart failure changes. Heart and respiratory rates obtained from the bed sensor of a female older adult who was hospitalized with acute mixed congestive heart failure, clinic notes, and data from computer simulations reflecting increasing diastolic dysfunction were analyzed. Mean heart and respiratory rate trends obtained from her bed sensor in the prior 2 months did not indicate heart failure. BCG waveforms resulting from the simulations demonstrated changes associated with decreasing cardiac output as diastolic function worsened. Developing new methods for clinically interpreting BCG waveforms presents a significant opportunity for improving early heart failure detection. [ Journal of Gerontological Nursing, 46 (7), 41–46.] |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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