A method of measuring sleep quality by using PPG

Tseng, Hsien‐Wei; Huang, Chunhui; Yen, Liang-Yu; Lin, Ting-Wei; Lee, Yung-Wen; Chen, Yilun

doi:10.1109/icce-tw.2016.7520999

Cited by 4 publications

(5 citation statements)

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“…By analyzing the low-frequency band (LFB) power in the HRV from photoplethysmography (PPG), Tseng et al [52] assessed the sleep and wake periods, analyzing the LFB power in the HRV. This analysis can then be used to estimate the TST and TWT.…”

Section: Methods Developed For Sleep Quality Analysis a Based Onmentioning

confidence: 99%

A Review of Approaches for Sleep Quality Analysis

Mendonça¹,

Mostafa²,

Morgado‐Dias³

et al. 2019

IEEE Access

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Sleep quality is directly related to overall wellness and can reveal symptoms of several diseases. However, the term ''sleep quality'' still lacks a definitional consensus and is commonly assessed in sleep labs with polysomnography, comprising high costs, or through sleep questionnaires, a highly subjective technique. Multiple methods have been proposed to address the estimation of sleep quality, and devices were developed to conduct the examination in the subject's home. The objective of this paper is to analyze the methods and the devices presented in the literature, assessing the development of objective markers that could lead to an improvement of the subjective sleep experience understanding, leading to developments in the treatment of sleep quality deficits. A systematic review was conducted, selecting research articles published from 2000 to 2018, and two research questions were formulated, specifically, ''what methods for sleep quality assessment have been developed'' and ''what kind of measures are employed by the devices that have been developed to estimate sleep quality.'' The research trend for the assessment of sleep quality is based on the sleep macrostructure, and it was verified that despite the convenience and considerable popularity among the consumers of home health monitoring of devices, such as actigraphs, the validity of these tools regarding the estimation of sleep quality still needs to be systematically examined. A detailed resume of the key findings and the identified challenges are presented, ascertaining the main gaps in the current state of the art. INDEX TERMS Sleep quality analysis, monitoring devices, home detection.

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Section: Methods Developed For Sleep Quality Analysis a Based Onmentioning

confidence: 99%

A Review of Approaches for Sleep Quality Analysis

Mendonça¹,

Mostafa²,

Morgado‐Dias³

et al. 2019

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The contactless method is further classified into two types: (1) audio‐based method 14–17 and (2) vision‐based method 18–25 . In terms of the contact‐detection method, some wearable devices were used to human body and collect personal information about sleep state 5–13 . The contact method of sleep state detection necessitates the use of wearable equipment, which affects people's sleep states and causes “first night effect” lasting for several days.…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, there are two types of sleep state detection methods: contact-detection methods [5][6][7][8][9][10][11][12][13] and contactless detection methods. [14][15][16][17][18][19][20][21][22][23][24][25] The contactless method is further classified into two types: (1) audio-based method 14-17 and (2) vision-based method.…”

mentioning

confidence: 99%

“…2 Currently, the commonly used methods of sleep quality detection are contact-based methods;however, this kind of method can exacerbate personal sleep disorders. 3,4 Therefore, there is an urgent need to study effective contactless detection methods.Nowadays, there are two types of sleep state detection methods: contact-detection methods [5][6][7][8][9][10][11][12][13] and contactless detection methods. [14][15][16][17][18][19][20][21][22][23][24][25] The contactless method is further classified into two types: (1) audio-based method 14-17 and (2) vision-based method.…”

mentioning

confidence: 99%

“…[18][19][20][21][22][23][24][25] In terms of the contact-detection method, some wearable devices were used to human body and collect personal information about sleep state. [5][6][7][8][9][10][11][12][13] The contact method of sleep state detection necessitates the use of wearable equipment, which affects people's sleep states and causes "first night effect" lasting for several days. True sleep state, without disturbances from wearable devices, is almost impossible to be achieved.…”

mentioning

confidence: 99%

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