التفاصيل البيبلوغرافية
| العنوان: |
Sleep Quality Index for Sensor Data in Eldercare Monitoring. |
| المؤلفون: |
Hasan, Khamees Khalaf1 (AUTHOR), Ibrahim, Omar A1 (AUTHOR) omar.a.ibrahim@tu.edu.iq, Bucholtz, Conrad2 (AUTHOR), Skubic, Marjorie2 (AUTHOR), Keller, James M.2 (AUTHOR), Popescu, Mihail3 (AUTHOR) |
| المصدر: |
Instrumentation, Mesures, Métrologies. Dec2024, Vol. 23 Issue 6, p431-440. 10p. |
| مصطلحات موضوعية: |
SLEEP quality, MILD cognitive impairment, OLDER people, MEDICAL technology, HEART beat |
| مستخلص: |
Early detection of health changes is important for the success of an aging population that prefers to live independently. Sleep is crucial for maintaining the cognitive and physical health of older adults. Poor sleep quality is common among the elderly with mild cognitive impairment (MCI), which is a transient state between healthy cognition and dementia. Monitoring sleep quality can provide valuable insights into the health trends of older adults, but current methods are uncomfortable and inconvenient. We instead use Ballistocardiography, an unobtrusive method of capturing time in bed, heart rate, respiration rate, and restlessness. We then propose a sleep quality index (SQI) that uses this data to assess the sleep health of older adults. This sleep index was evaluated on six residents with a total of 1165 days of sensor data. Our results demonstrate the effectiveness of the proposed method in capturing various health conditions, which are illustrated through detailed case studies. A comparative analysis further highlighted the relationship between health conditions and sleep quality, showing that residents with frequent health issues had a significantly lower SQI compared to healthier residents. This significant difference underscores the utility of the SQI as a sensitive measure for detecting and monitoring health-related changes in sleep quality among older adults. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Business Source Index |