Publications by Abuduwaili Tuoheti

New Approach for Making Standard the Development of Biosensing Devices by a Modular Multi-Purpose Design

Sandro Carrara, Ioulia Tzouvadaki, Francesca Stradolini, Abuduwaili Tuoheti, Danilo Demarchi, Francesca Criscuolo, Simone Aiassa

The fast widening of biosensing applications, such as healthcare, drug delivery, food, and military industries, is increasing the need for generality and compatibility among different sensors. To address this challenge, we present here an innovative approa ...

2020

Multi-panel, on-single-chip Memristive Biosensing

Giovanni De Micheli, Sandro Carrara, Ioulia Tzouvadaki, Abuduwaili Tuoheti, Danilo Demarchi

Memristive biosensors have demonstrated excellent capabilities for ultrasensitive bio-detection. In the present work, memristive biosensing chips are designed, fabricated and implemented in a for the first time presented multi-panel on-chip detection for d ...

2019

Quasi-Digital Biosensor-Interface for a Portable Pen to Monitor Anaesthetics Delivery

Sandro Carrara, Francesca Stradolini, Abuduwaili Tuoheti, Danilo Demarchi, Simone Aiassa

Monitoring of patient response to the anaesthetic drugs is an attractive improvement for achieving a correct balance of sedation level, increasing the chance of success in the right procedure of anaesthesia. Nowadays, there are no commercial tools able to ...

IEEE2019

Portable Memristive Biosensing System as Effective Point-of-Care Device for Cancer Diagnostics

Giovanni De Micheli, Sandro Carrara, Ioulia Tzouvadaki, Abuduwaili Tuoheti, Danilo Demarchi

Memristive biosensors have been proved as excellent candidates for ultrasensitive biosensing. In this work, a novel portable bio-detection system based on memristive biosensors is designed, developed and tested for providing a significantly fast, automatic ...

IEEE2018

An IoT Solution for Online Monitoring of Anesthetics in Human Serum Based on an Integrated Fluidic Bioelectronic System

Giovanni De Micheli, Sandro Carrara, Francesca Stradolini, Abuduwaili Tuoheti, Danilo Demarchi, Tugba Kilic, Sofia Lydia Ntella, Nadia Tamburrano, Zijian Huang

In this paper, we present the design, the implementation and the validation of a novel Internet of Things (IoT) drug monitoring system for the online continuous and simultaneous detection of two main anesthetics, e.g., propofol and paracetamol, in undilute ...

2018

IoT for Telemedicine Practices enabled by an Android (TM) Application with Cloud System Integration

Sandro Carrara, Thiébaud Modoux, Francesca Stradolini, Abuduwaili Tuoheti, Danilo Demarchi, Nadia Tamburrano

Connected medical devices are already paving the way towards the realization of Smart Hospitals where patient care is improved thanks to Internet of Things (IoT) solutions. Following this trend, in this paper we propose an IoT cloud-based network for anest ...

IEEE2018

A Flexible Front-End for Wearable Electrochemical Sensing

Giovanni De Micheli, Sandro Carrara, Francesca Stradolini, Abuduwaili Tuoheti, Mandresy Ivan Ny Hanitra, Danilo Demarchi, Tugba Kilic, Francesca Criscuolo, Lucia Lobello

This work presents the design and the realization of a flexible front-end circuitry for electrochemical sensing with wearable devices. The hardware combines readout circuitry for amperometric and Open Circuit Potential (OCP) measurements. The sensing platf ...

IEEE2018

Raspberry-Pi based system for propofol monitoring

Sandro Carrara, Francesca Stradolini, Abuduwaili Tuoheti, Danilo Demarchi, Tugba Kilic

Induction of anesthesia with propofol is a largely adopted technique in hospital environments. The correct dosage of this compound is essential to avoid under- or over-anesthesia that may result in serious side-effects. Therefore, in clinical settings, lon ...

ELSEVIER SCIENCE BV2018

Live Demonstration: An IoT Cloud-Based Architecture for Anesthesia Monitoring

Sandro Carrara, Thiébaud Modoux, Francesca Stradolini, Abuduwaili Tuoheti, Danilo Demarchi, Nadia Tamburrano

Medical Internet of Things (IoT) solutions are already paving the way towards the realization of Smart Hospitals. Following this trend, we propose an IoT cloud-based network for anesthesia on-line monitoring. This architecture allows the anesthesiologist t ...

IEEE2018

Raspberry Pi Driven Flow-Injection System for Electrochemical Continuous Monitoring Platforms

Giovanni De Micheli, Federico Angiolini, Sandro Carrara, Francesca Stradolini, Abuduwaili Tuoheti, Danilo Demarchi, Bruno Donato

Nowadays, there is an immense interest regarding new bio-sensing technologies, highlighting the need for effective validation of their capabilities. This necessity is more crucial when examining the proprieties of a sensor for continuous monitoring of a co ...

IEEE2017