Publications by Gian Luca Barbruni

A More Reliable Equivalent Circuit of Electrochemical Sensors for Robust Design of CMOS Front-ends

Sandro Carrara, Gian Luca Barbruni, Ali Meimandi

Electrochemical sensors integrated with CMOS circuits play a pivotal role in quantifying various chemicals across a huge spectrum of applications, prominently in distributed diagnostics and remote monitoring. When designing integrated devices, meticulous c ...

2025

New Sensory Method for Neural Activity by Frequency Upconversion With Nonlinear Element

Sandro Carrara, Gian Luca Barbruni, Ali Meimandi

Traditional analog front-ends for biomedical signal acquisitions operate at very low frequencies (Hz-range) and are severely affected by flicker and environmental noise, which degrade the quality of low-frequency signals, thereby reducing the signal-to-noi ...

2024

A modular multiple frequency inductive link to wirelessly power multiple miniaturized implants

Sandro Carrara, Diego Ghezzi, Gian Luca Barbruni

A modular multiple frequency coils inductive link system to wirelessly provide power for at least a medical implant at an output of a receiving coil, whereby the receiving coil is configured to be implanted in an organism. The modular multiple frequency co ...

2024

Enhancing Prostate Cancer Diagnosis with In-Memory Sensing and Edge Computing of Percent-free PSA Index

Sandro Carrara, Gian Luca Barbruni, Ata Jedari Golparvar

In this paper, we are presenting a new architecture to directly compute the ‘Percent-free PSA’ diagnostics index to enhance the differentiation of prostate cancer from benign prostatic disease. The proposed circuit uses silicon nanowires-based memristive b ...

Institute of Electrical and Electronics Engineers Inc.2024

A Frequency-Switching Inductive Power Transfer System for Wireless, Miniaturised and Large-Scale Neural Interfaces

Sandro Carrara, Diego Ghezzi, Gian Luca Barbruni

Three-coil inductive power transfer is the state-of-the-art solution to power multiple miniaturised neural implants. However, the maximum delivered power is limited by the efficiency of the powering link and safety constrains. Here we propose a frequency-s ...

Ieee-Inst Electrical Electronics Engineers Inc2024

In-Memory Sensing and Computing for Cancer Diagnostics: A Perspective Paper

Sandro Carrara, Gian Luca Barbruni, Ata Jedari Golparvar, Junrui Chen

During the past two decades, a number of two-terminal switching devices have been demonstrated in the literature. They typically exhibit hysteric behavior in the current-to-voltage characteristics. These devices have often been also referred to as memristi ...

Ieee-Inst Electrical Electronics Engineers Inc2024

A 69 µm2 Sub-nW/kHz Capacitor-less Ring Oscillator for Ultra-Miniaturized Implants

Sandro Carrara, Gian Luca Barbruni, Ali Meimandi

This paper presents an ultra-miniaturized, ultra-low-power, capacitor-less CMOS ring oscillator based on dynamic leakage suppression technique. Measurement results demonstrated an oscillation frequency of 21.89 kHz and a power consumption of 7.9 nW for a s ...

Institute of Electrical and Electronics Engineers Inc.2024

A Wearable Real-Time System for Simultaneous Wireless Power and Data Transmission to Cortical Visual Prosthesis

Sandro Carrara, Gian Luca Barbruni

Wireless, miniaturised and distributed neural interfaces are emerging neurotechnologies. Although extensive research efforts contribute to their technological advancement, the need for real-time systems enabling simultaneous wireless information and power ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Development of an Integrated CMUTs-Based Resonant Biosensor for Label-Free Detection of DNA with Improved Selectivity by Ethylene- Glycol Alkanethiols

Sandro Carrara, Gian Luca Barbruni, Yihe Zhao

Gravimetric resonant-inspired biosensors have attracted increasing attention in industrial and point-of- care applications, enabling label-free detection of biomarkers such as DNA and antibodies. Capacitive micromachined ultrasonic transducers (CMUTs) are ...

ELSEVIER2024

Bodily implant microelectrode and bodily implant microelectrode fabrication method

Sandro Carrara, Diego Ghezzi, Gian Luca Barbruni

The present invention concerns a bodily implantable or probe device and microelectrode fabrication method comprising providing at least one silicon substrate including an electronic device or unit; providing, on a first side of the silicon substrate, at le ...

2024

New Insights Into the I/V Hysteretic Characteristics of Memristive Biosensors

Sandro Carrara, Gian Luca Barbruni, Ata Jedari Golparvar, Junrui Chen, Kapil Bhardwaj

Over the past decade, significant advancements have been made in the study of silicon nanowires (SiNWs). These nanoscaled devices can exhibit a memristive type of hysteresis in the current/voltage (I/V) plane that has been utilized in the biosensors leadin ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

A Novel Piezoresistive Microcantilever Structure for Free Valproic Acid Sensing in Personalized Epilepsy Management

Sandro Carrara, Gian Luca Barbruni, Ata Jedari Golparvar

Microcantilever-based biosensors have emerged as promising technologies for point-of-care sensing systems. However, since they are typically utilized as a single piezoresistor in a quarter Wheatstone bridge configuration, they suffer from output asymmetry ...

Piscataway2023

Miniaturised, Wireless and Distributed Neural Interface Toward Cortical Visual Prosthesis

Gian Luca Barbruni

Over the last decades, implantable neural interfaces have been extensively explored and effectively deployed to address neurological and mental health disorders. The existing solutions present several limitations. Firstly, the physical size of the implanta ...

EPFL2023

An Ultra-Miniaturised CMOS Clock and Data Recovery System for Wireless ASK Transmission

Sandro Carrara, Diego Ghezzi, Gian Luca Barbruni

Over the years, several clock and data recovery architectures have been proposed for wireless Amplitude Shift Keying (ASK) transmitted signals. State-of-the-art architectures mainly rely on synchronous phase-locked loop circuits or selfsampling systems, bo ...

IEEE2023

Amperometric Urine Biosensor for Rapid Point-of-Care Tuberculosis Diagnosis

Sandro Carrara, Gian Luca Barbruni, Ata Jedari Golparvar

In this study, we propose the development and simulation of an electrochemical aptamer biosensor designed for point-of-care detection of tuberculosis (TB) in human urine. The biosensor operates through amperometric biosensing combined with aptamer-antibody ...

IEEE2023

Changes Over Time in the Electrode/Brain Interface Impedance: An Ex-Vivo Study

Sandro Carrara, Diego Ghezzi, Gian Luca Barbruni

Closed-loop neural implants based on continuous brain activity recording and intracortical microstimulation are extremely effective and promising devices to monitor and address many neurodegenerative diseases. The efficiency of these devices depends on the ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

A Front-End CMOS Interface Circuit With High Voltage Charge Pump and Oscillator for Capacitive Micromachined Ultrasonic Transducers

Sandro Carrara, Zhengwen Jiang, Gian Luca Barbruni, Yihe Zhao

Label-free biosensors, combined with miniaturized micro-electromechanical sensory platforms, offer an attractive solution for real-time and facile monitoring of biomolecules due to their high sensitivity and selectivity without the need for specifically la ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Ultra-Miniaturised CMOS Current Driver for Wireless Biphasic Intracortical Microstimulation

Sandro Carrara, Diego Ghezzi, Gian Luca Barbruni

This work shows an ultra-miniaturised and ultra-low-power CMOS current driver for biphasic intracortical microstimulation. The CMOS driver is composed of a leakage-based voltage-to-current converter and an H-bridge circuit providing biphasic charge-balance ...

IEEE2022

A Novel Approach in Edge Computing: In-Memory Sensing of Cancer Markers

Sandro Carrara, Gian Luca Barbruni

We present here the first ever-reported direct computation of the cancer risk on cancer markers simultaneously detected by memristors. The novel approach in cancer diagnostics here proposed is based on the fusion of the three actions of sensing, computing ...

IEEE2022

A 20 Mbps, 433 MHz RF ASK Transmitter to Inductively Power a Distributed Network of Miniaturised Neural Implants

Sandro Carrara, Diego Ghezzi, Gian Luca Barbruni

Simultaneous wireless information and power transfer is an emerging technique in neurotechnology. This work presents an efficient transmitter for both power transfer and downlink data communication to multiple, miniaturised and inductively-powered chips. W ...

IEEE2021