Comparison of sleep characteristics measurements: a case study with a population aged 65 and above

Gaiduk, Maksym; Seepold, Ralf; Ortega, Juan Antonio; Madrid, Natividad Martínez

doi:10.1016/j.procs.2020.09.297

Cited by 7 publications

(3 citation statements)

References 25 publications

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“…[55][56][57][58] Those studies provide retrospective insights on the attitude and perception of device acceptance factors; however, they fall short of accessing real daily usage experience by seniors. Furthermore, the findings can add to the literature of the effect of sedentary behavior on sleep characteristics and senior's health, 59,60 usability and adoption of mobile tracking technology, 61,62 acceptance of in-home health monitoring for aging in place, 63 and data analysis model of a real-time personalized tracking experience. 64 acceptance of personal health data collection, acceptance of technology, and acceptance of a health monitoring device.…”

Section: Hypothesis 3 Nighttime Tandts Negatively Affect Sleep Durationmentioning

confidence: 91%

Use of daily posture and activity tracking to assess sedentary behavior, toss-and-turns, and sleep duration of independently living Thai seniors

Tanlamai

Jaikengkit

Jarutach

et al. 2022

Health Informatics J

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This study examines the postures and activities of elders using activity-monitoring device or diary booklet. The research focuses on using the tracked data to assess sedentary behaviors, toss-and-turns, and sleep duration. Fifty seniors participated in the study for 14 days to obtain anecdotal evidence: half of them wore Sookjai, a motion-tracking device; the other half recorded their activities manually via a diary. The results show that they spent most of their time in the sit/stand posture; they tossed and turned during naps and sleep. Both groups showed a similar pattern of activities: the higher level of sedentary behavior is related to a longer sleep duration. Sedentary behavior and naps increased the number of toss-and-turns at night; toss-and-turns did not affect sleep duration. These independent living adults rated themselves healthy regardless of the extent of their sedentary behaviors or tossing and turning. Although the device did not meet all expectations, the seniors did indicate a positive intention to use wearables.

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Section: Hypothesis 3 Nighttime Tandts Negatively Affect Sleep Durationmentioning

confidence: 91%

Use of daily posture and activity tracking to assess sedentary behavior, toss-and-turns, and sleep duration of independently living Thai seniors

Tanlamai

Jaikengkit

Jarutach

et al. 2022

Health Informatics J

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“…Questionnaires or sleep diaries are often used for this purpose [8]. In turn, objective measurement is based on electronic devices that measure physiological signals from the human body [9]. These signals are subsequently analysed.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Feasibility of Replacing Subjective Questionnaire-Based Sleep Measurement with an Objective Approach Using a Smartwatch

Gaiduk

Seepold

Madrid

et al. 2023

Sensors

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In order to ensure sufficient recovery of the human body and brain, healthy sleep is indispensable. For this purpose, appropriate therapy should be initiated at an early stage in the case of sleep disorders. For some sleep disorders (e.g., insomnia), a sleep diary is essential for diagnosis and therapy monitoring. However, subjective measurement with a sleep diary has several disadvantages, requiring regular action from the user and leading to decreased comfort and potential data loss. To automate sleep monitoring and increase user comfort, one could consider replacing a sleep diary with an automatic measurement, such as a smartwatch, which would not disturb sleep. To obtain accurate results on the evaluation of the possibility of such a replacement, a field study was conducted with a total of 166 overnight recordings, followed by an analysis of the results. In this evaluation, objective sleep measurement with a Samsung Galaxy Watch 4 was compared to a subjective approach with a sleep diary, which is a standard method in sleep medicine. The focus was on comparing four relevant sleep characteristics: falling asleep time, waking up time, total sleep time (TST), and sleep efficiency (SE). After evaluating the results, it was concluded that a smartwatch could replace subjective measurement to determine falling asleep and waking up time, considering some level of inaccuracy. In the case of SE, substitution was also proved to be possible. However, some individual recordings showed a higher discrepancy in results between the two approaches. For its part, the evaluation of the TST measurement currently does not allow us to recommend substituting the measurement method for this sleep parameter. The appropriateness of replacing sleep diary measurement with a smartwatch depends on the acceptable levels of discrepancy. We propose four levels of similarity of results, defining ranges of absolute differences between objective and subjective measurements. By considering the values in the provided table and knowing the required accuracy, it is possible to determine the suitability of substitution in each individual case. The introduction of a “similarity level” parameter increases the adaptability and reusability of study findings in individual practical cases.

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“…The sleep monitoring device was placed under the mattress across the bed. According to the device's instruction manual, its position should be approximately below the chest area, as described in reference [29].…”

mentioning

confidence: 99%

Digital Health and Care Study on Elderly Monitoring

et al. 2021

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Sustainable technologies are being increasingly used in various areas of human life. While they have a multitude of benefits, they are especially useful in health monitoring, especially for certain groups of people, such as the elderly. However, there are still several issues that need to be addressed before its use becomes widespread. This work aims to clarify the aspects that are of great importance for increasing the acceptance of the use of this type of technology in the elderly. In addition, we aim to clarify whether the technologies that are already available are able to ensure acceptable accuracy and whether they could replace some of the manual approaches that are currently being used. A two-week study with people 65 years of age and over was conducted to address the questions posed here, and the results were evaluated. It was demonstrated that simplicity of use and automatic functioning play a crucial role. It was also concluded that technology cannot yet completely replace traditional methods such as questionnaires in some areas. Although the technologies that were tested were classified as being “easy to use”, the elderly population in the current study indicated that they were not sure that they would use these technologies regularly in the long term because the added value is not always clear, among other issues. Therefore, awareness-raising must take place in parallel with the development of technologies and services.

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Comparison of sleep characteristics measurements: a case study with a population aged 65 and above

Cited by 7 publications

References 25 publications

Use of daily posture and activity tracking to assess sedentary behavior, toss-and-turns, and sleep duration of independently living Thai seniors

Use of daily posture and activity tracking to assess sedentary behavior, toss-and-turns, and sleep duration of independently living Thai seniors

Assessing the Feasibility of Replacing Subjective Questionnaire-Based Sleep Measurement with an Objective Approach Using a Smartwatch

Digital Health and Care Study on Elderly Monitoring

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