- Wireless Body Area Networks
- Neuroscience and Neural Engineering
- Wireless Power Transfer Systems
- Energy Harvesting in Wireless Networks
- Advanced Memory and Neural Computing
- Advanced Sensor and Energy Harvesting Materials
- Acoustic Wave Resonator Technologies
- Advanced MEMS and NEMS Technologies
- Molecular Communication and Nanonetworks
- Mechanical and Optical Resonators
- Neural dynamics and brain function
- Radio Frequency Integrated Circuit Design
- Analog and Mixed-Signal Circuit Design
- Analytical Chemistry and Sensors
- Ferroelectric and Negative Capacitance Devices
- EEG and Brain-Computer Interfaces
- Spectroscopy Techniques in Biomedical and Chemical Research
- Electrochemical Analysis and Applications
- Advanced biosensing and bioanalysis techniques
- Gas Sensing Nanomaterials and Sensors
- Advanced Neural Network Applications
- Biosensors and Analytical Detection
- Sensor Technology and Measurement Systems
- Innovative Energy Harvesting Technologies
- CCD and CMOS Imaging Sensors
École Polytechnique Fédérale de Lausanne
2020-2025
Medtronic (Switzerland)
2020-2024
Polytechnic University of Turin
2020
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 power transfer toward implants remains crucial. Here we present a complete wearable system including software image capturing, processing digital data transfer; an hardware high radiofrequency generation modulation via amplitude shift keying; 3-coil...
Over the past decade, significant advancements have been made in study of silicon nanowires (SiNWs). These nanoscaled devices can exhibit a memristive type hysteresis current/voltage (I/V) plane that has utilized biosensors leading to exceptional sensitivities up femto levels. Here we investigate properties SiNW-based their unmodified state, as well after surface biofunctionalization with aptamers. The development SiNWs involved top-down nanofabrication approach, resulting <inline-formula...
Neurostimulation addresses neurological and mental disorders such as Parkinson's, blindness, deafness, depression. Miniaturized, wireless, free-floating neurostimulators improve spatial resolution, increase the surface of coverage, reduce chronic trauma. Several techniques have been proposed over last few years. This article focuses on some selected approaches that shown to be effective promising.
Closed-loop neural implants based on continuous brain activity recording and intracortical microstimulation are extremely effective promising devices to monitor address many neurodegenerative diseases. The efficiency of these depends the robustness designed circuits which rely precise electrical equivalent models electrode/brain interface. This is true in case amplifiers for differential recording, voltage or current drivers neurostimulation, potentiostats electrochemical bio-sensing....
Three-coil inductive power transfer is the state-of-the-art solution to multiple miniaturised neural implants. However, maximum delivered limited by efficiency of powering link and safety constrains. Here we propose a frequency-switching link, where passive resonator normally used in three-coil replaced an active resonator. It receives from external transmitter via two-coil at low frequency 13.56 MHz. Then, it switches operating higher 433.92 MHz through dedicated circuitry. Last, transmits...
Gravimetric resonant-inspired biosensors have attracted increasing attention in industrial and point-of-care applications, enabling label-free detection of biomarkers such as DNA antibodies. Capacitive micromachined ultrasonic transducers (CMUTs) are promising tools for developing miniaturized high-performance biosensing complementary metal oxide silicon (CMOS) platforms. However, their operability is limited by inefficient functionalization, aggregation, crosstalk the buffer, requirement an...
We present here the first ever-reported direct computation of cancer risk on markers simultaneously detected by memristors. The novel approach in diagnostics proposed is based fusion three actions sensing, computing and memory a single-kind device. So, this paper proposes new concept in-memory sensing as disruptive edge-computing. demonstrated showing well-known case diagnostics: estimation prostate simultaneous measure Prostate Specific Antigen (PSA) its Membrane isoform (PSMA).
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 selectivity without the need specifically labeling. Resonators have been acknowledged as efficient technology measuring biomolecular binding events including those involving nucleic acid antibody. Among these, capacitive micromachined ultrasonic transducers (CMUTs) emerged a promising...
Simultaneous wireless information and power transfer is an emerging technique in neurotechnology. This work presents efficient transmitter for both downlink data communication to multiple, miniaturised inductively-powered chips. We designed, implemented tested a radio-frequency operating at 433.92 MHz of the industrial, scientific medical band. A new structure proposed efficiently modulate carrier, exploiting amplitude-shift keying modulation reaching rate as high 20 Mbps together with...
During the past two decades, a number of two-terminal switching devices have been demonstrated in literature. They typically exhibit hysteric behavior current-to-voltage characteristics. These often also referred to as memristive devices. Their capacity switch and electrical hysteresis has made them well-suited for applications such data storage, in-memory computing, in-sensor computing or sensing. The aim this perspective paper is twofold. Firstly, it seeks provide comprehensive examination...
Traditional analog front-ends for biomedical signal acquisitions operate at very low frequencies (Hz-range) and are severely affected by flicker environmental noise, which degrade the quality of low-frequency signals, thereby reducing signal-to-noise ratio (SNR). While offering advantages, increasingly common use microelectrodes poses challenges due to their high impedance, is comparable one front-end, thus creating additional difficulties in acquisition. To tackle in-vitro biosignal...
Over the years, several clock and data recovery architectures have been proposed for wireless Amplitude Shift Keying (ASK) transmitted signals. State-of-the-art mainly rely on synchronous phase-locked loop circuits or self- sampling systems, both resulting in large area consumption. This work presents a novel CMOS architecture Clock Data Recovery (CDR) miniaturised wirelessly powered implants. The CDR works at 433.92 MHz includes: an ASK-demodulator, on-chip oscillator, power-on-reset,...
In this work, we study the effect of transistor downscaling in a wireless communication circuit for Body Dust application. The system requires chip lateral size smaller than 10 µm miming typical red blood cell and so, supporting free circulation human tissues. Moreover, an ultralow-power architecture is needed since battery-less wirelessly powered via acoustic power transfer. aim paper to present data systems, which works from multiplexed sensor read-out front-end transmitter back-end taking...
This work shows an ultra-miniaturised and ultralow-power CMOS current driver for biphasic intracortical microstimulation. The is composed of a leakage-based voltage-to-current converter H-bridge circuit providing charge-balanced stimulation. has been simulated, fabricated tested. consumes 1.87 µW with supply voltage 1.8 V, it occupies silicon area 15×12.4 µm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . works in linearity the range...
Measurement of exhaled volatile organic compounds (VOC) in breath, also called volatilomes, has long been claimed to be a potential source rapid, cost-effective, and non-invasive clinically applicable biomarkers. However, the current preclinical exploratory studies remain stagnant questioned due lack standardization collection, profiling, robust data analysis. Thus, this study proposes new portable device concept as instrumentation address measurement profiling issue analyzing VOC...
With rapid development of Internet Things, there is high demand for miniaturized biochemical sensors, which enable a digital-controlled connection and portable integration. In this work, we report an ASIC interface capacitive micromachined ultrasonic transducers (CMUTs), offering multi-channel monitoring frequency shifts supplying high-voltage (HV) source. Previously reported CMUTs-based sensors required peripheral power source to provide DC driving voltage (e.g.,10-50 V), was higher than...
Capacitive micromachined ultrasonic transducers (CMUTs) operating at the series and parallel resonant frequencies, have shown a great potential in application biodetection. However, previous equivalent circuits rarely consider fitting performance measurement. This study proposes establishment of simplified for CMUTs-based device to analyze electrical properties measurement sensitivity liquid environment. We simulate circular CMUT cell both air water through finite element method via COMSOL...
In this paper, we discuss the feasibility of creating an UltraSound (US) communication circuit to wireless transmit outside body diagnostic information from multiplexed biosensors chip built on top layer a drinkable CMOS Body Dust cube. The system requires be small enough (lateral size less than 100 um) mimic typical larger blood cell (diameter around 30 um for white cells) and so support free circulation cube in human tissues. second constraint came low-power consumption requirement, with...
Microcantilever-based biosensors have emer- ged as promising technologies for point-of-care sensing systems. However, since they are typically utilized a single piezoresistor in quarter Wheatstone bridge configuration, suffer from output asymmetry and require rigorous calibration to eliminate their common-mode interference. In this study, we propose novel piezoresistive double-clamped beam structure half-Wheatstone which offers highly accurate biosensing approach measuring the levels of free...
In this study, we propose the development and simulation of an electrochemical aptamer biosensor designed for point-of-care detection tuberculosis (TB) in human urine. The operates through amperometric biosensing combined with aptamer-antibody sandwich assays using TB-antigen CFP-10. Theoretical calculations conducted research demonstrate potential highly sensitive accurate readout, a linear range 0.17-0.53 nA, covering concentrations from 3 to 10 nM. Furthermore, incorporation S-layer...