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Alexandre Schmid

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Related publications (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

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

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

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

IEEE2017

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

Alexandre Schmid, Mahdad Hosseini Kamal, Mahsa Shoaran

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

A Time-Based, Digitally Intensive Circuit and System Architecture for Wireless Neural Recording with High Dynamic Range

Alexandre Schmid, Wen-Yang Hsu, Chen Cao

A new type of wireless neural recording front-end with PWM modulation and VCO-based ADC is proposed. The target signal is first encoded into binary levels with varying pulse width by PWM modulation, which intrinsically has much higher dynamic range compare ...

2016

Bit-flipping LDPC under noise conditions and its application to Physically Unclonable Functions

Alexandre Schmid, Takao Marukame

A low-density parity check (LDPC) circuit and its properties as a post-processor is proposed for physically unclonable functions (PUFs) applications. PUFs can be realized using process variations or signal noises in SRAM or other PUF circuits, whereas the ...

Ieee2016

Memory-error tolerance of Scalable and Highly Parallel Architecture for Restricted Boltzmann Machines in Deep Belief Network

Alexandre Schmid, Takao Marukame, Kodai Ueyoshi

A key aspect of constructing highly scalable Deep-learning microelectronic systems is to implement fault tolerance in the learning sequence. Error-injection analyses for memory is performed using a custom hardware model implementing parallelized restricted ...

Ieee2016

A 16-Channel 1.1mm2 Implantable Seizure Control SoC with Sub-μW/Channel Consumption and Closed-Loop Stimulation in 0.18μm CMOS

Alexandre Schmid, Yusuf Leblebici, Mahsa Shoaran, Amirhossein Shahshahani, Masoud Shahshahani

We present a 16-channel seizure detection system-on-chip (SoC) with 0.92μW/channel power dissipation in a total area of 1.1mm² including a closed-loop neural stimulator. A set of four features are extracted from the spatially filtered neural data to achiev ...

IEEE2016

Hardware-Oriented Dynamically Adaptive Disparity Estimation Algorithm and its Real-Time Hardware

Alexandre Schmid, Yusuf Leblebici, Abdulkadir Akin, Ipek Baz, Irem Boybat Kara, Hüseyin Baris Atakan

A real-time stereo camera disparity estimation device comprises input means arranged to input measured data corresponding to rows of left and right images; a plurality of on-chip memories arranged to buffer the input measured data; a vertical rotator hardw ...

2015

A Fully-Integrated IC with 0.85-uW/Channel Consumption for Epileptic iEEG Detection

Alexandre Schmid, Mahsa Shoaran

Feature extraction from a multichannel compressed neural signal is introduced in this brief. Compressive sensing (CS) is an efficient method for reducing the transmission data rate of sparse biological signals and lowering the power consumption of resource ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Real-Time Free Viewpoint Synthesis Using Three-Camera Disparity Estimation Hardware

Alexandre Schmid, Yusuf Leblebici, Jonathan Sylvain Masur, Abdulkadir Akin, Jonathan Emmanuel D Narinx, Raffaele Capoccia

The recent development of high quality free viewpoint synthesis algorithms and their implementations allows to realize glasses-free 3D perception. Although many algorithms are developed on this domain, the real-time hardware realization of a free viewpoint ...

2015

Trinocular Adaptive Window Size Disparity Estimation Algorithm and Its Real-Time Hardware

Alexandre Schmid, Yusuf Leblebici, Abdulkadir Akin, Ipek Baz, Jonathan Emmanuel D Narinx, Raffaele Capoccia

This paper proposes a hardware-oriented trinocular adaptive window size disparity estimation (T-AWDE) algorithm and the first real-time trinocular disparity estimation (DE) hardware that targets high-resolution images with high-quality disparity results. T ...

2015

A Real-time Multi-aperture Omnidirectional Visual Sensor Based on Interconnected Network of Smart Cameras

Alexandre Schmid, Yusuf Leblebici, Hossein Afshari, Abdulkadir Akin, Vladan Popovic, Kerem Seyid, Ömer Cogal

Centralized and multi-level implementations of the Panoptic omnidirectional multiaperture visual system were previously presented by the authors, relying on transmission of all camera outputs to a single central processing node for omnidirectional image an ...

Institute of Electrical and Electronics Engineers2015

A Subthreshold Current-Sensing Sigma-Delta Modulator for Low-Voltage and Low-Power Sensor Interfaces

Alexandre Schmid, Yusuf Leblebici, Seyed Armin Tajalli, Nikola Katic

A continuous-time (CT) ΣΔ modulator for sensing and direct analog-to-digital conversion of nA-range (subthreshold) currents is presented in this work. The presented modulator uses a subthreshold technique based on subthreshold source-coupled logic cells to ...

Wiley2015

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