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Dive into the research topics where Lorenzo Bisoni is active.

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Featured researches published by Lorenzo Bisoni.


IEEE Transactions on Circuits and Systems Ii-express Briefs | 2015

An HV-CMOS Integrated Circuit for Neural Stimulation in Prosthetic Applications

Lorenzo Bisoni; Caterina Carboni; Luigi Raffo; Nicola Carta; Massimo Barbaro

An integrated neural stimulator for prosthetic applications, realized with a high-voltage CMOS 0.35-μm process, is presented. The device is able to provide biphasic current pulses to stimulate eight electrodes independently. A voltage booster generates a 17-V voltage supply in order to guarantee the programmed stimulation current even in case of high impedances at the electrode-tissue interface. Pulse parameters such as amplitude, frequency, and width can be programmed digitally. The device has been successfully tested by means of both electrical and in vivo tests, and the results show its capability to provide currents on the order of hundreds of microamperes with impedances on the order of tens of kiloohms.


Biomedical Microdevices | 2016

An integrated interface for peripheral neural system recording and stimulation: system design, electrical tests and in-vivo results.

Caterina Carboni; Lorenzo Bisoni; Nicola Carta; Roberto Puddu; Stanisa Raspopovic; Xavier Navarro; Luigi Raffo; Massimo Barbaro

The prototype of an electronic bi-directional interface between the Peripheral Nervous System (PNS) and a neuro-controlled hand prosthesis is presented. The system is composed of 2 integrated circuits: a standard CMOS device for neural recording and a HVCMOS device for neural stimulation. The integrated circuits have been realized in 2 different 0.35μm CMOS processes available from ams. The complete system incorporates 8 channels each including the analog front-end, the A/D conversion, based on a sigma delta architecture and a programmable stimulation module implemented as a 5-bit current DAC; two voltage boosters supply the output stimulation stage with a programmable voltage scalable up to 17V. Successful in-vivo experiments with rats having a TIME electrode implanted in the sciatic nerve were carried out, showing the capability of recording neural signals in the tens of microvolts, with a global noise of 7μVrms, and to selectively elicit the tibial and plantar muscles using different active sites of the electrode.


robotics and applications | 2014

Compact, Multi-Channel, Electronic Interface for PNS Recording and Stimulation

Caterina Carboni; Lorenzo Bisoni; Nicola Carta; Massimo Barbaro

A multi-channel system for neural signal recording/stimulation is presented. The system is split on two devices: an implantable High Voltage (HV) CMOS integrated circuit (IC) hosting a sigma delta modulator, together with a low noise preamplifier/prefilter and a digital platform for sigma delta decimation/control implemented on a FPGA. This innovative approach guarantees a robust communication link while minimizing the blocks to be implanted, saving power and area. The recording unit exhibits an IRN = 2.12μVrms in 800Hz − 8kHz bandwidth, a programmable gain in the range 45.4dB − 58dB and a 14-bit A/D conversion. The IC hosts also a current-mode stimulator able to deliver currents in the range of hundreds of microampere to electrodes with impedances up to 100kΩ.


2017 New Generation of CAS (NGCAS) | 2017

A Novel Embedded System for Direct, Programmable Stimulation of the Peripheral Neural System

Caterina Carboni; Lorenzo Bisoni; Roberto Puddu; Luigi Raffo; Massimo Barbaro

A device aimed at restoring the sensory feedback in amputees is presented. Biphasic current pulses can be generated and delivered to the Peripheral Neural System (PNS) through neural electrodes. The current pulses can be controlled in terms of amplitude, width and frequency. Moreover, the system can be configured to generate customized waveforms. The device is based on an IC implemented on a 0.35um HV process and includes a voltage booster and a programmable current DAC, allowing to deliver the programmed current even in case of high impedance contact at the electrode-tissue interface. The system has been implemented and successfully tested by means of in-vivo experiments with rats.


international conference of the ieee engineering in medicine and biology society | 2016

Investigation on the hermeticity of an implantable package with 32 feedthroughs for neural prosthetic applications

Lorenzo Bisoni; Matthias Mueller; Paul Cvancara; Caterina Carboni; Roberto Puddu; Luigi Raffo; Massimo Barbaro; Thomas Stieglitz

This paper presents an implantable package aimed at hosting a bidirectional neural interface for neural prosthetic applications. The package has been conceived to minimize the invasivity for the patient, for this reason a cylindrical container with an outer diameter of 7 mm and a length of 21 mm has been designed. The package, realized in alumina (Al2O3), presents 32 hermetic feedthroughs located at the top and bottom base of the cylinder. The hermetic housing has been assembled using a low-temperature soldering method based on a previous platinum/gold (Pt/Au) metallization of the ceramic parts. The packages hermeticity has been successfully proved by means of in-vitro tests, exhibiting an increase in the inner relative humidity of 20 %RH over 75 days of observation.


biomedical engineering systems and technologies | 2015

A Wearable Device for High-Frequency EEG Signal Recording

Lorenzo Bisoni; Enzo Mastinu; Massimo Barbaro

The recording of high-frequency oscillations (HFO) through the skull has been investigated in the last years highlighting interesting new correlations between the EEG signals and common mental diseases. Therefore, since most of the commercially available EEG acquisition systems are focused on the low frequency signals, a wide-band EEG recorder is here presented. The proposed system is designed for those applications in which a wearable and user-friendly device is required. Using a standard Bluetooth (BT) module to transfers the acquired signals to a remote back-end, it can be easily interfaced with the nowadays widely spread smartphones or tablets by means of a mobile-based application. A Component Off-The-Shelf (COTS) device was designed on a \(19\,\text {cm}^{2}\) custom PCB with a low-power 8-channel acquisition module and a \(24-bit\) Analog to Digital Converter (ADC). The presented system, validated through in-vivo experiments, allows EEG signals recording at different sample rates, with a maximum bandwidth of \(524\,\text {Hz}\), and exhibits a maximum power consumption of 270 mW.


biomedical engineering systems and technologies | 2015

A Wide-band and User-friendly EEG Recording System for Wearable Applications

Lorenzo Bisoni; Enzo Mastinu; Massimo Barbaro

A wireless, wearable and non-invasive EEG recording system is proposed. The system includes a low-power 8-channel acquisition module and a Bluetooth (BT) transceiver to transmit acquired data to a remote platform. It was designed with the aim of creating a cheap and user-friendly system that can be easily interfaced with the nowadays widely spread smartphones or tablets by means of a mobile-based application. The presented system, validated through in-vivo experiments, allows EEG signals recording at different sample rates and with a maximum bandwidth of 524 Hz. It was realized on a 19cm2 custom PCB with a maximum power consumption of 270mW.


IEEE Transactions on Circuits and Systems Ii-express Briefs | 2017

A Precision Pseudo Resistor Bias Scheme for the Design of Very Large Time Constant Filters

Roberto Puddu; Caterina Carboni; Lorenzo Bisoni; Gianluca Barabino; Danilo Pani; Luigi Raffo; Massimo Barbaro


international conference of the ieee engineering in medicine and biology society | 2017

A 64-channels neural interface for biopotentials recording and PNS stimulation

Lorenzo Bisoni; Caterina Carboni; Roberto Puddu; Gianluca Barabino; Danilo Pani; Luigi Raffo; Matthias Mueller; Thomas Stieglitz; Jaume del Valle; Natàlia de la Oliva; Ignacio Delgado-Martinez; Xavier Navarro; Massimo Barbaro


biomedical circuits and systems conference | 2017

EARNEST: A 64 channel device for neural recording and sensory touch restoration in neural prosthetics

Caterina Carboni; Lorenzo Bisoni; Roberto Puddu Gianluca Barabino; Danilo Pani; Luigi Raffo; Massimo Barbaro

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Luigi Raffo

University of Cagliari

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Danilo Pani

University of Cagliari

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Xavier Navarro

Autonomous University of Barcelona

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