Sensors and instrumentation for unobtrusive sleep quality assessment in autistic children

Prakash, Punit; Kuehl, Phillip G.; McWilliams, Brogan T.; Rubenthaler, Steve; Schnell, Emily E.; Singleton, Gary; Warren, Steve

doi:10.1109/embc.2014.6943712

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…Prakash et al [95] have developed a method to measure BCG using an electromechanical film, positioned on the mattress, and load cells placed under the bed frame. These sensors were employed to measure physical activity, pulse rate and respiratory rate.…”

Section: Developed Devices For Sleep Quality Estimation a Devicesmentioning

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: Developed Devices For Sleep Quality Estimation a Devicesmentioning

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

“…Unobtrusive methods were employed at residential and educational facilities to evaluate behaviors of subjects in bed for their sleep quality and movements [ 128 , 129 ]. Such a method measures the ballistocardiogram (BCG), which is an evaluation of a subject’s ballistic forces, enabling the determination of both cardiac and respiratory data.…”

Section: A Taxonomy Of Sensors For Asd Screening and Interventionmentioning

confidence: 99%

“…Such a method measures the ballistocardiogram (BCG), which is an evaluation of a subject’s ballistic forces, enabling the determination of both cardiac and respiratory data. Prakash et al [ 128 ] explored two possible methods for BCG measurement ( Figure 8 ). One is the use of electromechanical force films, which were placed on top of the child’s mattress and under a layer of memory foam to prevent perception of the films and to improve comfort.…”

Section: A Taxonomy Of Sensors For Asd Screening and Interventionmentioning

confidence: 99%

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Sensing Technologies for Autism Spectrum Disorder Screening and Intervention

Cabibihan

Javed

Al‐Dosari

et al. 2016

Sensors

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This paper reviews the state-of-the-art in sensing technologies that are relevant for Autism Spectrum Disorder (ASD) screening and therapy. This disorder is characterized by difficulties in social communication, social interactions, and repetitive behaviors. It is diagnosed during the first three years of life. Early and intensive interventions have been shown to improve the developmental trajectory of the affected children. The earlier the diagnosis, the sooner the intervention therapy can begin, thus, making early diagnosis an important research goal. Technological innovations have tremendous potential to assist with early diagnosis and improve intervention programs. The need for careful and methodological evaluation of such emerging technologies becomes important in order to assist not only the therapists and clinicians in their selection of suitable tools, but to also guide the developers of the technologies in improving hardware and software. In this paper, we survey the literatures on sensing technologies for ASD and we categorize them into eye trackers, movement trackers, electrodermal activity monitors, tactile sensors, vocal prosody and speech detectors, and sleep quality assessment devices. We assess their effectiveness and study their limitations. We also examine the challenges faced by this growing field that need to be addressed before these technologies can perform up to their theoretical potential.

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Bed-based instrumentation for unobtrusive sleep quality assessment in severely disabled autistic children

Carlson

Suliman

Prakash

et al. 2016

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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The relationship between sleep quality and daytime wellness and performance in severely disabled, autistic children is not well understood. While polysomnography and, more recently, actigraphy serve as means to obtain sleep assessment data from neurotypical children and adults, these techniques are not well-suited to severely autistic children. This paper presents recent progress on a bed sensor suite that can unobtrusively track physiological and behavioral parameters used to assess sleep quality. Electromechanical films and load cells provide data that yield heart rate, respiration rate, center of position, in-and-out-of-bed activity, and general movement, while thermocouples are used to detect bed-wetting events.

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Sensors and instrumentation for unobtrusive sleep quality assessment in autistic children

Cited by 6 publications

References 7 publications

A Review of Approaches for Sleep Quality Analysis

A Review of Approaches for Sleep Quality Analysis

Sensing Technologies for Autism Spectrum Disorder Screening and Intervention

Bed-based instrumentation for unobtrusive sleep quality assessment in severely disabled autistic children

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