Revista medico-chirurgicala a Societatii de Medici si Naturalisti din Iasi · 2013
Remote respiration monitoring system for sleep apnea detection.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Rotariu C, Costin H
Аннотация
UNLABELLED: Sleep is a dynamic physiological process, its primary function being the restoration of the central nervous system. Because sleep disorders affect a significant part of the population the dynamic long term monitoring of human respiration plays a very important role in diagnosis and treatment.
MATERIAL AND METHODS: We describe a remote monitoring system designed for in-hospital or at-home detection with a high degree of accuracy of sleep-related disorders in patients experiencing episodes of obstructive sleep apnea. Patient's respiratory rate is continuously measured by using wireless devices and then transfered to a central monitoring station via a wireless sensor network. The central monitoring station runs a respiration monitoring application that receives the patient's respiratory rate from the network and activates an alert upon detection of a sleep apnea episode.
RESULTS: A user-friendly graphical user interface was designed for the respiration monitoring application that displays patient's respiratory rates and sleep apnea alerts. A prototype of the system has been developed, implemented and tested.
CONCLUSIONS: The described system allows persons with respiratory diseases or elderly to be monitored at their homes, as an alternative to medical supervision in hospitals.
MATERIAL AND METHODS: We describe a remote monitoring system designed for in-hospital or at-home detection with a high degree of accuracy of sleep-related disorders in patients experiencing episodes of obstructive sleep apnea. Patient's respiratory rate is continuously measured by using wireless devices and then transfered to a central monitoring station via a wireless sensor network. The central monitoring station runs a respiration monitoring application that receives the patient's respiratory rate from the network and activates an alert upon detection of a sleep apnea episode.
RESULTS: A user-friendly graphical user interface was designed for the respiration monitoring application that displays patient's respiratory rates and sleep apnea alerts. A prototype of the system has been developed, implemented and tested.
CONCLUSIONS: The described system allows persons with respiratory diseases or elderly to be monitored at their homes, as an alternative to medical supervision in hospitals.