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Alexandre Schmid

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Publications associées (158)

A Wireless Power and Bi-Directional Data Transfer System Using A Single Inductive Link for Biomedical Implants

Catherine Dehollain, Alexandre Schmid

This paper presents a wireless power and data conversion unit, designed to receive power and data via a single inductive link with a focus on applications in implanted biomedical devices. The system provides a reliable power supply for electronic circuits ...

Institute of Electrical and Electronics Engineers Inc.2023

An active charge balancing method suitable for integration in the output-stage of electrical neural stimulators

Alexandre Schmid

This paper presents a charge controlling circuit technique to integrate a charge balancer circuitry in the output-stage of electrical neural stimulators with the aim to reduce the area and the power consumption of the charge balancing circuitry. The propos ...

SPRINGER2022

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

Alexandre Schmid, Lizeth Gonzalez Carabarin

Unstructured neural network pruning algorithms have achieved impressive compression ratios. However, the resulting-typically irregular-sparse matrices hamper efficient hardware implementations, leading to additional memory usage and complex control logic t ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Computation Complexity Reduction Technique for Accurate Seizure Detection Implants

Alexandre Schmid, Keyvan Farhang Razi

An automatic seizure detection method from high-resolution intracranial-EEG (iEEG) signals is presented to minimize the computational complexity and realize real-time accurate seizure detection for biomedical implants. Complex signal processing on a large ...

IEEE2022

Epileptic Seizure Detection With Patient-Specific Feature and Channel Selection for Low-power Applications

Alexandre Schmid, Keyvan Farhang Razi

An accurate epileptic seizure detector using intracranial electroencephalography (iEEG) recordings, suitable for low-power wearable/implantable applications, is presented. Eleven time-domain features with low hardware complexity are employed in the feature ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Structured and tiled-based pruning of Deep Learning models targeting FPGA implementations

Alexandre Schmid, Lizeth Gonzalez Carabarin

Model compression techniques have lead to a reduction of size and number of computations of Deep Learning models. However, techniques such as pruning mostly lack of a real co-optimization with hardware platforms. For instance, implementing unstructured pru ...

IEEE2022

Electrical Model of a Wireless mW-Power and Mbps-Data Transfer System Over a Single Pair of Coils

Alexandre Schmid, David Palomeque Mangut

This paper proposes a system to transfer both mW-power and Mbps-data over an inductive link using a single pair of coils. The system is able to handle a wide range of loads by implementing a load adapter block that divides the operation into two phases: a ...

IEEE2022

Hardware-Friendly Random Forest Classification of iEEG Signals for Implantable Seizure Detection

Alexandre Schmid, Keyvan Farhang Razi

Early and accurate detection of epileptic seizures is an extremely important therapeutic goal due to the severity of complications it can prevent. To this end, a low-power machine learning-based seizure detection implemented on an FPGA is proposed in this ...

IEEE2022

Simultaneous Wireless Power and Data Transmission Through a Single Inductive Link For Multiple Implantable Medical Devices

Catherine Dehollain, Alexandre Schmid

Inductive power transfer (IPT) is a developing technique for wireless power and data communication systems in the application of implanted medical devices (IMDs). Multiple implants are developed to cover large areas and satisfy the clinical requirements of ...

IEEE2022

Two-stage Hardware-Friendly Epileptic Seizure Detection Method with a Dynamic Feature Selection

Alexandre Schmid, Keyvan Farhang Razi

A novel low-complexity method of detecting epileptic seizures from intracranial encephalography (iEEG) signals is presented. In the proposed algorithm, coastline, energy and nonlinear energy features of iEEG signals are extracted in a patient-specific two- ...

IEEE2021

Wireless Power and Data Transmission for Implanted Devices via Inductive Links: A Systematic Review

Catherine Dehollain, Alexandre Schmid

Wireless power and data communication systems in implantable medical devices (IMDs) are developed to control and report acquired biological data from an implanted device to an external stage in several medical applications. Ultrasonic, capacitive, optical, ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Hardware-oriented pruning and quantization of Deep Learning models to detect life-threatening arrhythmias

Alexandre Schmid, Lizeth Gonzalez Carabarin

Wearable solutions based on Deep Learning (DL) for real-time ECG monitoring are a promising alternative to detect life-threatening arrhythmias. However, DL models suffer of a large memory footprint, which hampers their adoption in portable technologies. Th ...

IEEE2021

Implantable Neuro-Modulation Devices and Technology

Alexandre Schmid

Implantable electronic medical devices that operate in closed-loop allow efficient neuro-modulation. Area and power are to be carefully balanced to improve the system autonomy and safety. New digital modulation schemes with implementation in the front-end ...

IEEE, ELECTRON DEVICES SOC & RELIABILITY GROUP2021

Walsh-Hadamard-Based Orthogonal Sampling Technique for Parallel Neural Recording Systems

Alexandre Schmid, Reza Ranjandish

Walsh-Hadamard based orthogonal sampling of signals is studied in this paper, and an application of this technique is presented. Using orthogonal sampling, a single analog-to-digital converter (ADC) only is sufficient to perform parallel (simultaneous) rec ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Editorial: Microelectronic Implants for Central and Peripheral Nervous System: Overview of Circuit and System Technology

Alexandre Schmid

FRONTIERS MEDIA SA2021

A Review of Microelectronic Systems and Circuit Techniques for Electrical Neural Recording Aimed at Closed-Loop Epilepsy Control

Alexandre Schmid, Reza Ranjandish

Closed-loop implantable electronics offer a new trend in therapeutic systems aimed at controlling some neurological diseases such as epilepsy. Seizures are detected and electrical stimulation applied to the brain or groups of nerves. To this aim, the signa ...

2020

A design methodology for charge-balanced stimulators based on anodic current variation monitoring

Alexandre Schmid, Reza Ranjandish

Charge balancing is a major safety concern in neural and functional electrical stimulation. This paper presents a novel and safe active charge balancing design methodology in which, after each cathodic and anodic stimulation pulse, the value of the remaini ...

2019

Chopped-Anodic-Phase Charge Balancing Method for Electrical Stimulation

Alexandre Schmid, Reza Ranjandish

Providing safety of stimulation is a critical requirement in the design of biomedical electrical stimulators. Charge balancing circuits are required to guarantee safety of electrical stimulators. Chopped-anodic-phase (CAP) is one of the methods used for ch ...

IEEE2019

A Fully Fail-Safe Capacitive-Based Charge Metering Method for Active Charge Balancing in Deep Brain Stimulation

Alexandre Schmid, Reza Ranjandish

Related to safety issues, charge balancing is a major concern in neural and functional electrical stimulation. This paper presents a capacitive-based charge metering method as a low-power and precise charge balancing method used in Deep Brain Stimulation ( ...

IEEE2018

An Active Charge Balancing Method Based on Chopped Anodic Phase

Alexandre Schmid, Reza Ranjandish

A new method for safe electrical neural stimulation is proposed. A negative feedback is used to automatically produce short anodic pulses according to the remaining voltage. The period of the short anodic pulses varies according to the remaining voltage. T ...

IEEE2018

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