Title :
Analysis of biotelemetric interrogation of chronically implantable intracranial capacitive pressure sensor
Author :
Moradi, Elham ; Bjorninen, Toni ; Sydanheimo, Lauri ; Ukkonen, Leena
Author_Institution :
Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
Abstract :
Intractranial pressure (ICP) may increase due to an illness or an injury. Increased ICP causes severe brain damages and leads to life-threatening situations. Therefore, the ICP of patients with possibly high ICP must be monitored continuously. In this paper, we study the design of a subdural ICP sensor consisting of a MEMS capacitive pressure sensor connected to an inductive loop forming an LC circuit. An external LC circuit, whose loop antenna is inductively coupled to the sensor side loop antenna, can detect the resonance frequency of the implanted sensor LC circuit. We analyze for the first time different design aspects and factors affecting the sensitivity of the system to the changes of the capacitance of a pressure sensor implanted inside human head. In simulations, we used anatomical ANSYS Human Body Model. By considering different loss factors and optimizing the system for best sensitivity, we achieved a system with the sensitivity of 5.1 MHz/pF.
Keywords :
LC circuits; bioMEMS; biomedical telemetry; body sensor networks; brain; capacitive sensors; loop antennas; microsensors; pressure sensors; telemedicine; MEMS capacitive pressure sensor; anatomical ANSYS human body model; biotelemetric interrogation analysis; chronically implantable intracranial capacitive pressure sensor; illness; implanted sensor LC circuit; injury; loop antenna; resonance frequency detection; severe brain damages; subdural ICP sensor design; Capacitance; Integrated circuit modeling; Iterative closest point algorithm; Micromechanical devices; RLC circuits; Resonant frequency; Sensitivity; ICP sensor; LC tank; MEMS capacitive pressure sensor; biotelemetry;
Conference_Titel :
RFID Technology and Applications Conference (RFID-TA), 2014 IEEE
Conference_Location :
Tampere
DOI :
10.1109/RFID-TA.2014.6934217