Hello, I am a Postdoc at the Department of Information Engineering and Computer Science of the University of Trento, where I am the manager of a research project named BIOS.
Such project mainly focus on the development of a framework of design automation for Body Sensor Networks (BSNs). The framework should be of help to doctors in order to automatically find the optimal BSN. That is, the BSN which best satisfy the monitoring requirements specified by the doctors for their patients. We need to add the specifications of many BSN solutions in the database of the framework, which has to be large as much as possible. Also BSN with a single node or prototypes are of interest. We would be very grateful If you could provide us some basic information and performance specifications of your solutions in order to include them in our framework. Within the BIOS project we are planning an experimentation at the Operative Unit of Cardiology of the S. Chiara Hospital at Trento. The target of the experimentation is to remotely monitor about ten patients who were affected by atrial fibrillation and then treated with catheter radio frequency ablation. The objective is to detect possible relapses of these within the 3-6 months after the ablation. The single patient should be monitored from about 3 to 6 months by a sensor node able to send via Bluetooth or ZigBee an alarm and a short ECG trace for each alarm to his cellular phone or PDA every time an event of atrial fibrillation or of other pathologies occurs. Then, the cellular phone should forward the data received from the node to the Hospital by UMTS, where a web software should store, visualize and manage the alarms and the ECG traces for every single patient. The intention would be to remotely monitor the same patients also for other pathologies like: - Cardiac ischemia; - Cardiac decopensation; - Sudden cardiac death; - Hypoglycemic shock. We would be interested also on an embedded solution of energy management able to drastically reduce the duty cycle in the phase of ECG signal acquisition (e.g. node in sleep mode for 90 % of the time). If some of you could be interested to collaborate for the integration or the development of part of the technologies required to reach the objectives of such experimentation, do not hesitate to contact us. Please, let us know also if you have already developed or you are developing some related solutions. We already developed a 1-lead ECG front-end characterized by a current consumption of 149 µA at 3 V (about half of the current consumption of the 3-lead ECG front-end from Shimmer-Research). We also implemented and validated the Pan Tompkins's QRS detection algorithm and an algorithm of atrial fibrillation detection on the dsPIC33FJ256MC710platform form Microchip, which we would like to port to an other platform characterized by a lower power consumption. To better satisfy the requirement of long term monitoring we are in touch with a company that develops textile ECG electrodes. So, for the experimentation there could be the possibility to integrate such technology in the BSN. Moreover, a European company has already given its availability to participate in the experimentation offering its solutions to forward the alarms from the cellular phone of the patient to the Hospital. Finally, the cardiologists of the S. Chiara Hospital at Trento are availability to validate novel prototype solutions. Please, to answer this message write to fernando.pianegi...@disi.unitn.it Thank you for the attention. Yours Sincerely, -- Fernando Pianegiani, Ph.D. Post Doctoral Researcher Department of Information Engineering and Computer Science University of Trento Building E, Room 11 - Via alla Cascata 56/C 38050 Trento (TN), Italy Mobile: +39 338 2204719
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