A. Lay-Ekuakille, P. Vergallo, G. Griffo, O. Kanoun, F. Angelillo, A. Trabacca
{"title":"Wireless network acquisition of joint EEG-ECG-ergospirometric signals for epilepsy detection","authors":"A. Lay-Ekuakille, P. Vergallo, G. Griffo, O. Kanoun, F. Angelillo, A. Trabacca","doi":"10.1109/IWMN.2013.6663774","DOIUrl":null,"url":null,"abstract":"Wireless network architecture allows the implementation of fatigue measurement that was once performed in a limited and constrained way due to the use of wired connections. This paper presents measurement acquisitions by means of wireless network that allows joint acquisition of electroencephalograms, electrocardiograms and ergospirometry signals. This opportunity permits to a person walking to a dedicated path (about 30 meters) to develop fatigue that is recorded in function of EEG and ECG. Only wireless configuration allows the patient under test to walk. Some issues have been developed to detect interesting features on transmitted signals for epilepsy detection.","PeriodicalId":218660,"journal":{"name":"2013 IEEE International Workshop on Measurements & Networking (M&N)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Workshop on Measurements & Networking (M&N)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWMN.2013.6663774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Wireless network architecture allows the implementation of fatigue measurement that was once performed in a limited and constrained way due to the use of wired connections. This paper presents measurement acquisitions by means of wireless network that allows joint acquisition of electroencephalograms, electrocardiograms and ergospirometry signals. This opportunity permits to a person walking to a dedicated path (about 30 meters) to develop fatigue that is recorded in function of EEG and ECG. Only wireless configuration allows the patient under test to walk. Some issues have been developed to detect interesting features on transmitted signals for epilepsy detection.