Title :
Wireless network acquisition of joint EEG-ECG-ergospirometric signals for epilepsy detection
Author :
Lay-Ekuakille, Aime ; Vergallo, P. ; Griffo, G. ; Kanoun, Olfa ; Angelillo, F. ; Trabacca, A.
Author_Institution :
Dept. of Innovation Eng., Univ. of Salento, Lecce, Italy
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.
Keywords :
biomedical equipment; bone; electrocardiography; electroencephalography; gait analysis; medical signal detection; medical signal processing; wireless sensor networks; electrocardiograms; electroencephalograms; epilepsy detection; fatigue measurement; joint EEG-ECG-ergospirometric signals; joint acquisition; person walking; transmitted signals; wireless configuration; wireless network acquisition; wireless network architecture; Electrocardiography; Electroencephalography; Monitoring; Robot sensing systems; Wireless communication; Wireless sensor networks; Biomedical networking and communication; ECG; EEG; Epilepsy; Ergospirometry; Telemetry; WSN; throughput;
Conference_Titel :
Measurements and Networking Proceedings (M&N), 2013 IEEE International Workshop on
Conference_Location :
Naples
Print_ISBN :
978-1-4673-2873-9
DOI :
10.1109/IWMN.2013.6663774