Title :
Hardware for seizure prediction: Towards wearable devices to support epileptic people
Author :
Castellaro, Cipriano ; Favaro, Gianpietro ; Salemi, Giovanni ; Sarto, Matteo ; Rizzo, Nicola
Author_Institution :
Micromed S.p.A., Treviso, Italy
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
This paper presents the hardware developed for the EPILEPSIAE project (www.epilepsiae.eu), focused on epileptic seizure prediction. A portable low power acquisition system for EEG signals, called LTM-EU (Long Term Monitoring), with 64 channels and 2048Hz sampling rate each and a safe (high isolation) PC interface on a PCIe bus specifically designed for this task, is described. The acquisition system, designed for a rapid commercialization, though used for research purposes, got the CE certification. The signal from the patient, on each channel, is amplified, converted in digital form and stored into a local flash memory (SD-MMC, 4GB). Data are then formatted into a serial stream at 4Mb/s and sent through a half-duplex RS485 link to the host where a specifically designed PCIe (BQPCIe) interface receive them and release the information to the OS (Windows or Linux). The amplifier runs with a couple of AA battery for more than 15 hours (300mW). If a wireless link is established (Bluetooth), a bandwidth limited stream of data (or a subset of channels) is sent for monitoring purposes. The mission is to support the researchers of the consortium with a suitable hardware to have a real time seizure prediction system for algorithms tests. In the experimental phase all algorithms run on a portable PC, wire or wireless connected to the acquisition system.
Keywords :
Bluetooth; electroencephalography; neurophysiology; patient monitoring; wearable computers; BQPCIe interface; Bluetooth; EEG signals; EPILEPSIAE project; Long Term Monitoring; epileptic seizure prediction; local flash memory; portable low power acquisition system; wearable devices; Bandwidth; Bluetooth; Electroencephalography; Flash memory; Hardware; Prediction algorithms; Wireless communication; Clothing; Electroencephalography; Equipment Design; Equipment Failure Analysis; Humans; Monitoring, Ambulatory; Reproducibility of Results; Seizures; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Telemetry;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090470