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

Alexandre Schmid, Catherine Dehollain

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

Alexandre Schmid, Catherine Dehollain

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

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

Alexandre Schmid, Catherine Dehollain

IEEE2022

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

Alexandre Schmid, Keyvan Farhang Razi

IEEE2021