Progress in Detection of Insomnia Sleep Disorder: A Comprehensive Review

Heyat, Md Belal Bin; Akhtar, Faijan; Ansari, Mohammad Ali; Khan, Asif; Alkahtani, Fahed; Khan, Haroon; Lai, Dakun

doi:10.2174/1389450121666201027125828

Cited by 39 publications

(35 citation statements)

References 67 publications

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“…Chronic insomnia, lack of adequate sleep, and anxiety are also considered to be risk factors that contribute to medical problems such as cardiovascular disease, diabetes, obesity, and asthma, which emphasizes the necessity of identifying and treating insomnia. [ 8 , 9 ] Insomnia is often comorbid with depression, and there is a bidirectional relationship between these disorders. It is not surprising that there is universal interest in finding effective complementary and alternative therapies to treat insomnia and anxiety with a lower risk of adverse effects or withdrawal.…”

Section: Introductionmentioning

confidence: 99%

Can acupuncture improve sleep quality and anxiety among women during perimenopause?

et al. 2022

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Background: The decrease in estrogen levels during the perimenopausal period can cause women to have various symptoms such as insomnia, emotional anxiety, and even depression. Therefore, whether the green therapy of acupuncture can improve the sleep quality and anxiety of perimenopausal women has attracted more and more attention. The purpose of this systematic evaluation was to assess the efficacy of acupuncture on insomnia and anxiety in perimenopausal women. Methods: We will search for clinical observational pilot studies or cohort studies of acupuncture for insomnia, anxiety, or depression included in PubMed, Cochrane Library, Embase, Web of science, China Knowledge Network (CNKI), Wanfang, VIP and China Biomedical Database (CBM), etc. The search period will be from the establishment of the database until November 2021. Two researchers will independently perform literature screening, data extraction, and quality assessment. Finally, data analysis will be performed using Revman and Stata software. Results: The purpose of this study was to evaluate the effectiveness and safety of acupuncture therapy for the treatment of insomnia, anxiety, and depression in perimenopausal women. Conclusion: This study will provide new evidence on the effectiveness and safety of acupuncture for the treatment of insomnia, anxiety, and depression in perimenopausal women, and provide additional options for clinicians and patients to improve insomnia and anxiety. Registration Number: INPLASY2021120012

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Section: Introductionmentioning

confidence: 99%

Can acupuncture improve sleep quality and anxiety among women during perimenopause?

et al. 2022

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“…also express one's emotional condition, it is significant to extract original emotion from spontaneous brain Electroencephalogram (EEG) signal. And that is because any type of thought, imagination, dream, and plan of human beings have a meaningful and indicative impact on the formation of brain signals [23]- [25]. Moreover, subjects have no way to control the automatically generated EEG signal.…”

Section: Introductionmentioning

confidence: 99%

Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques

et al. 2021

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Recently, electroencephalogram-based emotion recognition has become crucial in enabling the Human-Computer Interaction (HCI) system to become more intelligent. Due to the outstanding applications of emotion recognition, e.g., person-based decision making, mind-machine interfacing, cognitive interaction, affect detection, feeling detection, etc., emotion recognition has become successful in attracting the recent hype of AI-empowered research. Therefore, numerous studies have been conducted driven by a range of approaches, which demand a systematic review of methodologies used for this task with their feature sets and techniques. It will facilitate the beginners as guidance towards composing an effective emotion recognition system. In this article, we have conducted a rigorous review on the state-ofthe-art emotion recognition systems, published in recent literature, and summarized some of the common emotion recognition steps with relevant definitions, theories, and analyses to provide key knowledge to develop a proper framework. Moreover, studies included here were dichotomized based on two categories: i) deep learning-based, and ii) shallow machine learning-based emotion recognition systems. The reviewed systems were compared based on methods, classifier, the number of classified emotions, accuracy, and dataset used. An informative comparison, recent research trends, and some recommendations are also provided for future research directions.

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“…Our study investigates chronic insomnia patients. Insomnia is a sleep disorder in which individuals complain of difficulties in falling asleep, maintaining sleep or early waking from sleep last regularly for at least four weeks [ 36 ], and it is common problem in elderly people [ 37 ]. It is the most common sleep disorder; in the adult population, 30–48% have reported at least one symptom related to insomnia at some stage of their lives [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, insomnia has a significant impact on the quality of life. It is a significant risk factor for cardiovascular disease, hypertension, and type 2 diabetes and may lead to lower productivity at work or a higher risk of workplace accidents [ 36 , 38 ]. There are still many unknowns in the pathophysiology of insomnia due to its broad definition and clinical heterogeneity [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Excitation of Slow Oscillations during Deep Sleep Using Acoustic Stimulation

Piorecký

Koudelka

Piorecka

et al. 2021

Sensors

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Slow-wave synchronous acoustic stimulation is a promising research and therapeutic tool. It is essential to clearly understand the principles of the synchronization methods, to know their performances and limitations, and, most importantly, to have a clear picture of the effect of stimulation on slow-wave activity (SWA). This paper covers the mentioned and currently missing parts of knowledge that are essential for the appropriate development of the method itself and future applications. Artificially streamed real sleep EEG data were used to quantitatively compare the two currently used real-time methods: the phase-locking loop (PLL) and the fixed-step stimulus in our own implementation. The fixed-step stimulation method was concluded to be more reliable and practically applicable compared to the PLL method. The sleep experiment with chronic insomnia patients in our sleep laboratory was analyzed in order to precisely characterize the effect of sound stimulation during deep sleep. We found that there is a significant phase synchronization of delta waves, which were shown to be the most sensitive metric of the effect of acoustic stimulation compared to commonly used averaged signal and power analyses. This finding may change the understanding of the effect and function of the SWA stimulation described in the literature.

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Progress in Detection of Insomnia Sleep Disorder: A Comprehensive Review

Cited by 39 publications

References 67 publications

Can acupuncture improve sleep quality and anxiety among women during perimenopause?

Can acupuncture improve sleep quality and anxiety among women during perimenopause?

Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques

Real-Time Excitation of Slow Oscillations during Deep Sleep Using Acoustic Stimulation

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