Development of an Intelligent Multi-Parameter Sleep Diagnosis and Analysis System
10.12455/j.issn.1671-7104.240036
- VernacularTitle:一种智能多参数睡眠诊断与分析系统的研制
- Author:
Chenyang LI
1
;
Jilun YE
;
Jian GUAN
Author Information
1. 上海交通大学医学院附属第六人民医院耳鼻咽喉头颈外科,上海市,200233;上海市睡眠呼吸障碍疾病重点实验室,上海市,200233
- Keywords:
sleep monitoring;
gas metabolism;
hemodynamics;
data quality control;
disease diagnosis
- From:
Chinese Journal of Medical Instrumentation
2024;48(4):373-379
- CountryChina
- Language:Chinese
-
Abstract:
Sleep disordered breathing(SDB)is a common sleep disorder with an increasing prevalence.The current gold standard for diagnosing SDB is polysomnography(PSG),but existing PSG techniques have some limitations,such as long manual interpretation times,a lack of data quality control,and insufficient monitoring of gas metabolism and hemodynamics.Therefore,there is an urgent need in China's sleep clinical applications to develop a new intelligent PSG system with data quality control,gas metabolism assessment,and hemodynamic monitoring capabilities.The new system,in terms of hardware,detects traditional parameters like nasal airflow,blood oxygen levels,electrocardiography(ECG),electroencephalography(EEG),electromyography(EMG),electrooculogram(EOG),and includes additional modules for gas metabolism assessment via end-tidal CO2 and O2 concentration,and hemodynamic function assessment through impedance cardiography.On the software side,deep learning methods are being employed to develop intelligent data quality control and diagnostic techniques.The goal is to provide detailed sleep quality assessments that effectively assist doctors in evaluating the sleep quality of SDB patients.
