Title :
Apnea MedAssist II: A smart phone based system for sleep apnea assessment
Author :
Cheng Shi ; Nourani, M. ; Gupta, Gaurav ; Tamil, L.
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
We have developed a real-time sleep apnea monitoring system called “Apnea MedAssist II”. This has three independent sensors: ECG, SpO2 and Breath sensor. These sensors are connected to a smartphone via Bluetooth. The signal processing of the sensor signals and automated classification of a sleep epoch as an apnea event or a non-apnea event are done in a smart phone. The soft ware for signal processing and automated classification can be imported to an Android OS based smart phones as an `app´ that we have developed. The system has accuracy well over 97% when tested on Physionet database. The system is being readied for limited patient trial.
Keywords :
Bluetooth; bioelectric potentials; chemical sensors; diseases; electrocardiography; medical signal processing; neurophysiology; patient monitoring; pneumodynamics; signal classification; sleep; smart phones; telemedicine; Android OS based smart phones; Bluetooth; ECG sensor; Physionet database; SpO2 sensor; breath sensor; electrocardiography; real-time sleep apnea monitoring system; signal processing; sleep apnea assessment; sleep epoch classification; smart phone based system; Electrocardiography; Intelligent sensors; Noise; Sleep apnea; Smart phones; Support vector machines; Brathing Sensor; ECG; SVM; Sleep Apnea; SpO2; Telemedicine;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/BIBM.2013.6732560
