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Showing 1-25 of 244 resultsfor "Index Terms":Sleep therapy
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Transformative Insights: Unveiling the Potential of Artificial Intelligence in the Treatment of Sleep Disorders - A Comprehensive Review
Mohammad Shahnawaz Nasir;Mohammad Shabbir Alam;Fazal Imam Shahi;Mohammad Shahid Kamal;Kamal Upreti;Prashant Vats
2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Disruptions to sleep have a substantial influence on people's overall health and quality of life. The conventional techniques for diagnosing and managing sleep disorders usually rely on subjective assessments and qualitative evaluations, that may have some accuracy and efficacy limitations. Nevertheless, recent developments in the field of artificial intelligence (AI) have presented new opportunit...Show More
With the advent of wearable biometric technology like smart watches, “hacking” our bodies' functions and cycles has become a tool in the never-ending quest for better health. And sleep is no exception. For example, a staggering one-third of Americans don't get enough sleep, according to the Centers for Disease Control and Prevention (CDC). A sensor-equipped glove called Dormio tracks a user's musc...Show More
Percutaneous Biphasic Electrical Stimulation for Treatment of Obstructive Sleep Apnea Syndrome
Lianggang Hu;Xiaomei Xu;Yongsheng Gong;Xiaofang Fan;Liangxing Wang;Jianhua Zhang;Yanjun Zeng
In this paper, we study the effect of stimulation of the genioglossus with percutaneous biphasic electrical pulses on patients with the obstructive sleep apnea syndrome (OSAS). The experiment was conducted in 22 patients clinically diagnosed with OSAS. The patients were monitored with polysomnography (PSG) in the trial. When the sleep apnea was detected, the genioglossus was stimulated with percut...Show More
A simple laboratory test of music therapy for insufficient sleep
Pattarapong Phasukkit;Nurhayatee Mahrozeh;Montree Kumngern;Supan Tungjitkusolmun
2015 8th Biomedical Engineering International Conference (BMEiCON)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
This article studies the behavior of human sleep found the insufficient sleep problem due to the brain performance. This experiment uses devices such as sleeptracker to save the results of a sleep and electroencephalogram (EEG) to detect brainwaves while enjoying music. However, this study considers only a general sleep and sleep event that a relaxed with the music. The findings indicated the musi...Show More
Investigating the Effect of Short Term Responsive VNS Therapy on Sleep Quality Using Automatic Sleep Staging
Objective: The goal of this work is to objectively evaluate the effectiveness of responsive (or closedloop) Vagus nerve stimulation (VNS) therapy in sleep quality in patients with medically refractory epilepsy. Methods: Using quantitative features obtained from electroencephalography, we first developed a new automatic sleep-staging framework that consists of a multi-class support vector machine (...Show More
A look at the strength of micro and macro EEG analysis for distinguishing insomnia within an HIV cohort
Kristin M. Gunnarsdottir;Yu Min Kang;Matthew S. D. Kerr;Sridevi V. Sarma;Joshua Ewen;Richard Allen;Charlene Gamaldo;Rachel M. E. Salas
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2015 | Conference Paper |
HIV patients are often plagued by sleep disorders and suffer from sleep deprivation. However, there remains a wide gap in our understanding of the relationship between HIV status, poor sleep, overall function and future outcomes; particularly in the case of HIV patients otherwise well controlled on cART (combined anti-retroviral therapy). In this study, we compared two groups: 16 non-HIV subjects ...Show More
Applying Machine Learning to Design and Evaluate White Noise Recommendation System for Insomniacs
2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)
Year: 2020 | Conference Paper |
Many sleep problems have occurred due to changes in the modern lifestyle. Insomnia is more serious than other sleep disorders. Insomnia increases the risk of depression, obesity, and cardiovascular diseases when it is not treated properly. Nowadays, most sleep therapies involve drugs that cause side effects on. For non-drug therapies, certain sounds assist sleep. However, as the sound is subjectiv...Show More
Analysis of sleep and stress profiles from biomedical signal processing in wearable devices
2006 International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2006 | Conference Paper |
The present paper describes procedures for the evaluation of sleep quality and for stress management based on the analysis of the HRV and respiration signals. The analysis is though for a device aimed to provide support to people who want to develop a healthier lifestyle, with major focus on cardiovascular disease prevention.
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First Page of the Article
Show MoreSleep deprivation is catastrophic to our health, spiking risks for cardiovascular disease, dementia, and diabetes. Yet, a dangerous culture of sleep deprivation thrives in our world. In less than 100 years, we, as a society, have lost more than an hour of sleep, going from 7.9 hours in 1940 to 6.5 today. We may well know how bad sleep deprivation is for us, but science is just starting to figure o...Show More
Sleep Apnea & Chronic Obstructive Pulmonary Disease: Overlap Syndrome Dynamics in Patients from an Epidemiological Study
Ignasi Ferrer-Lluis;Yolanda Castillo-Escario;Martin Glos;Ingo Fietze;Thomas Penzel;Raimon Jané
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
Obstructive sleep apnea (OSA) is a sleep disorder in which repetitive upper airway obstructive events occur during sleep. These events can induce hypoxia, which is a risk factor for multiple cardiovascular and cerebrovascular diseases. Chronic obstructive pulmonary disease (COPD) is a disorder which induces a persistent inflammation of the lungs. This condition produces hypoventilation, affecting ...Show More
Predicting Amyotrophic Lateral Sclerosis Progression: an EMG-based Survival Analysis
Irene Rechichi;Gianluca Amprimo;Alessandro Cicolin;Gabriella Olmo
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2024 | Conference Paper |
Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disease, ultimately leading to muscle inefficiency and death. A vast majority of people with ALS also suffer from sleep disorders. Previous studies highlighted the presence of REM Sleep Without Atonia (RSWA) in an ALS cohort, and suggested its strong correlation with the disease severity. This study investigates the ability of ...Show More
A Software Package «Apnea» for the Diagnosis and Treatment of Obstructive Sleep Apnea
Irina G. Arustamyan;Olga A. Stancheva;Sergei A. Karpishchenko;Nikita B. Tselobanov;Georgy A. Efimenko;Dmitrii I. Kaplun
2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)
Year: 2022 | Conference Paper |
According to the international classification of sleep disorders ICSD-3, sleep disorders are grouped into 7 different groups, one of which is "Obstructive Sleep Apnea" (OSA). In order to improve the quality of sleep, a mobile application "Apnea" was developed. It helps users in self-diagnosis and treatment of snoring and OSA. This will have a positive effect on many areas of life in the future: th...Show More
Beneficial effect of isoflavones to post-menopausal women with insomnia: A preliminary study
Phanarat Wongrungrote;Sunisa Thaichinda;Phakkharawat Sittiprapaporn
2018 International Conference on Digital Arts, Media and Technology (ICDAMT)
Year: 2018 | Conference Paper |
The purpose of this research was to study the efficacy of Isoflavones on insomnia in post-menopausal woman by the measurement of sleep quality. Post-menopausal Thai women volunteers aged between 45-60 years old who were living in Nong Khae district, Saraburi Province, Thailand, and had insomnia (screening by using DSM-V criteria). BMI was less than or equal to 30 kg/m2, no history of illness, no d...Show More
Facilitating CPAP Adherence with Personalized Recommendations Using Artificial Neural Networks
2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)
Year: 2021 | Conference Paper |
Sleep apnea is a common sleep disorder that, if left untreated, can have critical complications to the individual. The most common and effective treatment for sleep apnea is the Continuous Positive Airway Pressure (CPAP) therapy. But it has a long-term adherence rate as low as 60% due to discomfort and other factors. Although previous research has attempted to increase CPAP usage, there has been l...Show More
Efficient Deep Learning Model for Classification of Patients with Sleep Disorders from Healthy Individuals
2023 IEEE 20th India Council International Conference (INDICON)
Year: 2023 | Conference Paper |
We propose novel deep learning architectures, which are small and efficient in distinguishing individual sleep disorders from healthy people. We perform this classification in subject-independent mode, which shows its reliability in real-life scenarios. We propose models that utilize electromyogram, electrooculogram, and electrocardiogram and do not require electroencephalogram at all. This work u...Show More
The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study
Meagan Sinclair;Hamed Hanafi Alamdari;Julia Paffile;Kamal El-Sankary;Scott Lowe;Stephen Driscoll;Sageev Oore;Heather Tomson;Gregory Begin;Guillermo Aristi;Michael Schmidt;David Roach;Thomas Penzel;Ingo Fietze;Sanjay R Patel;Reena Mehra;Debra Morrison
Positive Airway Pressure (PAP) therapy is the most common and efficacious treatment for Obstructive Sleep Apnea (OSA). However, it suffers from poor patient adherence due to discomfort and may not fully alleviate all adverse consequences of OSA. Identifying abnormal respiratory events before they have occurred may allow for improved management of PAP levels, leading to improved adherence and bette...Show More
The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study
Meagan Sinclair;Hamed Hanafi Alamdari;Julia Paffile;Kamal El-Sankary;Scott Lowe;Stephen Driscoll;Sageev Oore;Heather Tomson;Gregory Begin;Guillermo Aristi;Michael Schmidt;David Roach;Thomas Penzel;Ingo Fietze;Sanjay R Patel;Reena Mehra;Debra Morrison
Efficacy of Positional Therapy Prototype for Patients with Positional Obstructive Sleep Apnea
Shongpun Lokavee;Visasiri Tantrakul;Worakot Suwansathit;Janejira Pengjiam;Teerakiat Kerdcharoen
2020 12th International Conference on Knowledge and Smart Technology (KST)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Obstructive sleep apnea (OSA) is the most prevalent sleep-disordered breathing problems. Approximately 56% of patients with OSA have position-dependent obstructive sleep apnea (POSA), namely that the frequency of apneas is affected by sleeping positions. In this paper, we have proposed a positional therapy (PT) prototype that obtains physiological signals by recording the chest respiratory and ges...Show More
Wavelet-based CNN for Predicting PAP Adherence Using Overnight Polysomnography Recordings: a Pilot Study
Mingxi Lei;Tom Maxim;Edwin M. Valladares;Eric Kezirian;B. Keith Jenkins
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2021 | Conference Paper |
Obstructive sleep apnea (OSA) is a common sleep disorder. Positive airway pressure (PAP) therapy is the first-line treatment, while its effectiveness is significantly limited by incomplete adherence in many patients. This work aims to find a predictive association between data from in-laboratory sleep studies during treatment (PAP titration polysomnogram, or PSG) and PAP adherence. Based on a PAP ...Show More
Causes and Treatment of Adolescent Depression
2020 International Conference on Public Health and Data Science (ICPHDS)
Year: 2020 | Conference Paper |
This paper mainly discusses the causes and treatment of adolescent depression. Through knowledge the author has learned in class and the literature review, several causes and treatments of the disease are given. The causes can be divided into genetic factors and environmental factors, and treatments include psychotherapy and drug therapy. The purpose of this article is to let people know more abou...Show More
Sleep, lifestyle and academic performance and sleep education by using cognitive behavioral method
2012 ICME International Conference on Complex Medical Engineering (CME)
Year: 2012 | Conference Paper |
Cited by: Papers (1)
The purpose of this study was to examine the relation between Sleep, lifestyle and academic performance in high school students and to examine the effects of sleep education by using cognitive behavioural method. Results of the higher rank school showed that students with higher grades of academic performance of English and mathematics reported more total sleep, earlier bed times on school nights....Show More
SleepGAN: Towards Personalized Sleep Therapy Music
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2022 | Conference Paper |
Cited by: Papers (4)
Sleep deficiency and disorders are one of the most unsolved public health challenges of modern times. Music therapy is a promising approach, offering a cheap and non-invasive solution to improve sleep quality. However, the choice of therapeutic sleep music is highly limited for users because such music needs to be specially chosen and made by sleep therapists. It could potentially lead to the inef...Show More
Improving Students’ Learning Effectiveness by an AIoT Human Centric Lighting System
2023 14th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This study aims to develop an AIoT human- centric lighting (HCL) system, encompassing its service platform and algorithms for analyzing and regulating circadian rhythms. The HCL system seamlessly integrates daylight-linked control into the IoT architecture, enabling remote control of luminaires, sensor data collection in classrooms, and the establishment of a cloud-based data-driven model. By leve...Show More
Auto-adjusting mandibular repositioning device for in-home use
R. Brugarolas;J. M. Valero-Sarmiento;A. Bozkurt;G. K. Essick
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2016 | Conference Paper |
Obstructive Sleep Apnea (OSA) is a form of respiratory dysfunction that affects 20% of adults in the world. Among the first-line treatments that are used to mitigate the effects of OSA are continuous positive airway pressure (CPAP) and mandibular repositioning devices (MRD). Although CPAP provides a more efficacious therapy than MRDs, recent studies suggest that both are comparable in overall effe...Show More
Ubiquitous Biofeedback Game Induce Relaxation in Brief Behavioral Treatment for Insomnia
2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)
Year: 2023 | Conference Paper |
With fast-paced life, insomnia is becoming increasingly severe. Therefore, based on the brief behavioral treatment for insomnia, we have designed a diaphragmatic breathing game that does not affect sleepiness. The game integrates biofeedback and sound guidance, allowing players to autonomously control their breathing and display their relaxation state within game scenes. Reducing the awakening eff...Show More
The researches of wavelet transform for the sleep apnea syndrome through snoring analysis
2010 3rd International Conference on Biomedical Engineering and Informatics
Year: 2010 | Conference Paper |
Cited by: Papers (2)
The snoring is a typical inspiratory sound appearing during sleep. It is a typical non-stationary signal and its source can be considered as pseudoperiodic. It is discuss the analyzing methods of snores signal that based on wavelet transform in this paper. The aim of the current study is to explore any possible relationship between snoring analysis using wavelet transform and apnea syndrome. Simul...Show More
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