Alexandre Schmid

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Publications associées (158)

All Wireless, 16-channel Epilepsy Control System with Sub-mu W/channel and Closed-loop Stimulation Using a Switched-Capacitor-Based Active Charge Balancing Method

Alexandre Schmid, Catherine Dehollain, Kerim Türe, Reza Ranjandish, Franco Maloberti

An all wireless closed-loop stimulation system for epilepsy control is presented that generates charged-balanced programmable stimulation current pulses upon a seizure is detected. The proposed system has highly flexible stimulation parameters thanks to th ...

IEEE2018

A 4-channel 5.04 μW 0.325 mm2 Orthogonal Sampling-Based Parallel Neural Recording System

Alexandre Schmid, Reza Ranjandish

The application of orthogonal sampling for parallel neural recording is presented in this paper. Orthogonal sampling enables reducing the number of the I Cs in conventional recording systems into one single unit. Consequently, the ADC bandwidth and dynamic ...

IEEE2018

Current Overshoots and Undershoots in Electrical Stimulation: A Circuit-level Perspective of the Origin and Solutions

Alexandre Schmid, Reza Ranjandish

This paper investigates a common phenomenon in current mode stimulation which is known as current overshoots and undershoots. The origin of these abnormalities in the current pulses has remained an open issue and these overshoots and undershoots have been ...

IEEE2018

A Sub-μW/Channel, 16-Channel Seizure Detection and Signal Acquisition SoC Based on Multichannel Compressive Sensing

Alexandre Schmid, Reza Ranjandish

An accurate 16-channel seizure detection system-on-chip is presented, which is based on extracting features from the compressed recorded data using multichannel compressive sensing (MCS). MCS is used to reduce the transmission data rate of sparse biologica ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

Implantable IoT System for Closed-Loop Epilepsy Control based on Electrical Neuromodulation

Alexandre Schmid, Reza Ranjandish

A closed-loop system aiming at epilepsy control is proposed in this paper, in which electrical stimulation is triggered upon a decision aggragating different biological signatures of the seizure such as changes in the heart rate, blood flow in the brain, a ...

IEEE2018

Error Tolerance Analysis of Deep Learning Hardware Using a Restricted Boltzmann Machine Toward Low-Power Memory Implementation

Alexandre Schmid, Takao Marukame, Kodai Ueyoshi

Remarkable hardware robustness of deep learning (DL) is revealed by error injection analyses performed using a custom hardware model implementing parallelized restricted Boltzmann machines (RBMs). RBMs in deep belief networks demonstrate robustness against ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Compact, Energy-Efficient High-Frequency Switched Capacitor Neural Stimulator With Active Charge Balancing

Alexandre Schmid, Wen-Yang Hsu

Safety and energy efficiency are two major concerns for implantable neural stimulators. This paper presents a novel high-frequency, switched capacitor (HFSC) stimulation and active charge balancing scheme, which achieves high energy efficiency and well-con ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Power/data platform for high data rate in implanted neural monitoring system

Alexandre Schmid, Catherine Dehollain, Gürkan Yilmaz, Kerim Türe, Reza Ranjandish, Franco Maloberti

IEEE2017

Compact low-power recording architecture for multichannel acquisition of biological signals and method for compressing said biological signal data

Alexandre Schmid, Mahsa Shoaran, Mahdad Hosseini Kamal

The present invention relates to a method for compressing signal data of a plurality of biological signals captured by a plurality of implanted measurement devices. The present invention further relates to an implantable sensor configured to carry out said ...

2016

Motion Vector Estimation of Textureless Objects Exploiting Reaction-Diffusion Cellular Automata

Alexandre Schmid, Kazuyoshi Ishimura

Conventional motion estimation algorithms extract motion vectors from image sequences based on the image's local-brightness differences in consecutive images. Therefore, motion vectors are extracted along the moving edges formed by moving objects over thei ...

Old City Publishing Inc2016

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