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相关论文: What Radio Waves Tell Us about Sleep

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Sleep apnea is a serious and severely under-diagnosed sleep-related respiration disorder characterized by repeated disrupted breathing events during sleep. It is diagnosed via polysomnography which is an expensive test conducted in a sleep…

Sleep apnea syndrome requires early diagnosis because this syndrome can lead to a variety of health problems. If sleep apnea events can be detected in a noncontact manner using radar, we can then avoid the discomfort caused by the…

信号处理 · 电气工程与系统科学 2023-11-03 Takato Koda , Shigeaki Okumura , Hirofumi Taki , Satoshi Hamada , Hironobu Sunadome , Susumu Sato , Kazuo Chin , Takuya Sakamoto

Radar-based respiratory measurement is a promising tool for the noncontact detection of sleep apnea. Our team has reported that apnea events can be accurately detected using the statistical characteristics of the amplitude of respiratory…

信号处理 · 电气工程与系统科学 2025-05-27 Kodai Hasegawa , Shigeaki Okumura , Hirofumi Taki , Hironobu Sunadome , Satoshi Hamada , Susumu Sato , Kazuo Chin , Takuya Sakamoto

Sleep apnea is the most common sleep disturbance and it is an important risk factor for cardiovascular disorders. Its detection relies on a polysomnography, a combination of diverse exams. In order to detect changes due to sleep…

医学物理 · 物理学 2015-06-22 Sabrina Camargo , Maik Riedl , Celia Anteneodo , Juergen Kurths , Thomas Penzel , Niels Wessel

Sleep apnea is a serious sleep-related breathing disorder that is common and can impact health if left untreated. Currently the traditional method for screening and diagnosis is overnight polysomnography. Polysomnography is expensive and…

声音 · 计算机科学 2025-10-02 Anushka Mallick , Afiya Noorain , Ashwin Menon , Ashita Solanki , Keertan Balaji

Sleep is an essential and vital element of a person life and health that helps to refresh and recharge the mind and body of a person. The quality of sleep is very important in every person lifestyle, removing various diseases. Bad sleep is…

其他计算机科学 · 计算机科学 2022-09-13 Abdur Rab Dhruba , Kazi Nabiul Alam , Md Shakib Khan , Sami Bourouis , Mohammad Monirujjaman Khan

This study proposes a novel lightweight neural network model leveraging features extracted from electrocardiogram (ECG) and respiratory signals for early OSA screening. ECG signals are used to generate feature spectrograms to predict sleep…

机器学习 · 计算机科学 2025-01-06 Hui Pan , Yanxuan Yu , Jilun Ye , Xu Zhang

This study introduces a novel, rich dataset obtained from home sleep apnea tests using the FDA-approved WatchPAT-300 device, collected from 7,077 participants over 21,412 nights. The dataset comprises three levels of sleep data: raw…

The abnormal pause or rate reduction in breathing is known as the sleep-apnea hypopnea syndrome and affects the quality of sleep of an individual. A novel method for the detection of sleep apnea events (pause in breathing) from peripheral…

机器学习 · 计算机科学 2021-12-22 Arlene John , Koushik Kumar Nundy , Barry Cardiff , Deepu John

Sleep apnea, a prevalent sleep disorder, involves repeated episodes of breathing interruptions during sleep, leading to various health complications, including cognitive impairments, high blood pressure, heart disease, stroke, and even…

信号处理 · 电气工程与系统科学 2025-09-03 Chun Hin Siu , Hossein Miri

Sleep is vital for people's physical and mental health, and sound sleep can help them focus on daily activities. Therefore, a sleep study that includes sleep patterns and sleep disorders is crucial to enhancing our knowledge about…

机器学习 · 计算机科学 2025-04-18 Tayab Uddin Wara , Ababil Hossain Fahad , Adri Shankar Das , Md. Mehedi Hasan Shawon

Polysomnography (PSG), the current gold standard method for monitoring and detecting sleep disorders, is cumbersome and costly. At-home testing solutions, known as home sleep apnea testing (HSAT), exist. However, they are contact-based, a…

计算机视觉与模式识别 · 计算机科学 2024-08-08 Kai Del Regno , Alexander Vilesov , Adnan Armouti , Anirudh Bindiganavale Harish , Selim Emir Can , Ashley Kita , Achuta Kadambi

Objective: Sleep related respiratory abnormalities are typically detected using polysomnography. There is a need in general medicine and critical care for a more convenient method to automatically detect sleep apnea from a simple,…

Internet of Things (IoT) enabled wearable sensors for health monitoring are widely used to reduce the cost of personal healthcare and improve quality of life. The sleep apnea-hypopnea syndrome, characterized by the abnormal reduction or…

机器学习 · 计算机科学 2021-06-18 Arlene John , Barry Cardiff , Deepu John

The gold standard to assess respiration during sleep is polysomnography; a technique that is burdensome, expensive (both in analysis time and measurement costs), and difficult to repeat. Automation of respiratory analysis can improve test…

Sleep apnea is a breathing disorder where a person repeatedly stops breathing in sleep. Early detection is crucial for infants because it might bring long term adversities. The existing accurate detection mechanism (pulse oximetry) is a…

信号处理 · 电气工程与系统科学 2021-05-11 Gihan Jayatilaka , Harshana Weligampola , Suren Sritharan , Pankayraj Pathmanathan , Roshan Ragel , Isuru Nawinne

Psychiatric patients' passive activity monitoring is crucial to detect behavioural shifts in real-time, comprising a tool that helps clinicians supervise patients' evolution over time and enhance the associated treatments' outcomes.…

信号处理 · 电气工程与系统科学 2022-11-21 Fernando Moreno-Pino , María Martínez-García , Pablo M. Olmos , Antonio Artés-Rodríguez

Sleep staging is essential for the assessment of sleep quality and the diagnosis of sleep-related disorders. Conventional polysomnography (PSG), while considered the gold standard, is intrusive, labor-intensive, and unsuitable for long-term…

信号处理 · 电气工程与系统科学 2026-04-21 Zhuo Diao , Yueting Li , Jianpeng Wang , Shengyu Guan , Xinwei Wang , Wenxiong Cui , Xin Shi , Tong Liu , Kailai Sun , Jingyu Wang , Dian Fan , Thomas Penzel

Sleep constitutes a key indicator of human health, performance, and quality of life. Sleep deprivation has long been related to the onset, development, and worsening of several mental and metabolic disorders, constituting an essential…

信号处理 · 电气工程与系统科学 2023-01-25 María Martínez-García , Fernando Moreno-Pino , Pablo M. Olmos , Antonio Artés-Rodríguez

Sleep is among the most important factors affecting one's daily performance, well-being, and life quality. Nevertheless, it became possible to measure it in daily life in an unobtrusive manner with wearable devices. Rather than camera…

信号处理 · 电气工程与系统科学 2023-03-13 Ozan Kılıç , Berrenur Saylam , Özlem Durmaz İncel
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