A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC With Impedance-Adaptive Transcranial Electrical Stimulator PROJECT TITLE :A 16-Channel Patient-Specific Seizure Onset and Termination Detection SoC With Impedance-Adaptive Transcranial Electrical StimulatorABSTRACT:A sixteen-channel noninvasive closed-loop beginning-and end-of-seizure detection SoC is presented. The twin-channel charge recycled (DCCR) analog front end (AFE) achieves chopping and time-multiplexing an amplifier between 2 channels simultaneously that exploits quick-settling DC servo-loop with current consumption and NEF of 0.nine μA/channel and three.29/channel, respectively. The twin-detector architecture (D2A) classification processor utilizes two linear support-vector machine (LSVM) classifiers based mostly on digital hysteresis to enhance both the sensitivity and also the specificity simultaneously. The pulsating voltage transcranial electrical stimulator (PVTES) automatically configures the amount of pulses to control the number of charge delivered primarily based on skin-electrode impedance variation in efforts to suppress the seizure activity, whereas burning only 2.45 μW. The 25 mm2 SoC implemented in zero.18 μm CMOS consumes two.73 μJ/classification for sixteen channels with an average sensitivity, specificity, and latency of 95.7p.c, ninety eightpercent, and 1 s, respectively. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest A Wide-Range, Low-Power, All-Digital Delay-Locked Loop With Cyclic Half-Delay-Line Architecture A Hybrid OTA Driving 15 nF Capacitive Load With 1.46 MHz GBW
