Towards high-resolution brain-chip interface and automated analysis of multichannel neuronal signals

M Mahmud, C Cecchetto, M Maschietto… - 2017 IEEE Region …, 2017 - ieeexplore.ieee.org
To understand brain functions and diagnose brain disorders, scientists have developed
various probing tools and techniques. This development has been facilitated by the rapid …

Accelerating Development of Medical Devices Using Human‐Machine Interface

D Karati, S Mukherjee, S Roy… - Human‐Machine …, 2023 - Wiley Online Library
A human‐machine interface (HMI) is all the hardware and software components that allow a
human user and a machine to engage in an interactive system to complete a specific task …

Making Hospital Environment Friendly for People: A Concept of HMI

P Rihana Begum, BD Mohammad… - Human‐Machine …, 2023 - Wiley Online Library
Human‐machine interfaces (HMIs) are fully on‐board software and hardware that enable
control and communication with medical devices and processes, including cardiac …

A Functional BCI Model by the P2731 working group: Physiology

A Hossaini, D Valeriani, CS Nam… - Brain-Computer …, 2021 - Taylor & Francis
ABSTRACT The development of Brain–Computer Interfaces (BCIs) requires specialists in
various fields, including engineering, computer science, medicine and neuroscience. Each …

Rat cortical layers classification extracting evoked local field potential images with implanted multi-electrode sensor

X Wang, M Magno, L Cavigelli… - 2018 IEEE 20th …, 2018 - ieeexplore.ieee.org
One of the most ambitious goals of neuroscience and its neuroprosthetic applications is to
interface intelligent electronic devices with the biological brain to cure neurological …

Closed-loop characterization of neuronal activation using electrical stimulation and optical imaging

ML Kuykendal, GS Guvanasen, SM Potter, MA Grover… - Processes, 2017 - mdpi.com
We have developed a closed-loop, high-throughput system that applies electrical stimulation
and optical recording to facilitate the rapid characterization of extracellular, stimulus-evoked …

Towards automated processing and analysis of neuronal big data acquired using high-resolution brain-chip interfaces

M Mahmud, C Cecchetto, M Maschietto… - … Brain Mapping: Methods …, 2020 - Springer
Innovation of neurotechnological tools during the last two decades, especially in the realm of
micro-and-nano-machined devices, has allowed the neuroscientific community to study the …

QSpikeTools: An open source toolbox for parallel batch processing of extracellular neuronal signals recorded by substrate microelectrode arrays

M Mahmud, R Pulizzi, E Vasilaki… - … and Information & …, 2014 - ieeexplore.ieee.org
In recent years Multi-Electrode Arrays (MEAs) have emerged as a powerful tool to study
brain (dys) functions in-vivo and in in-vitro animal models. Typically, each session of …

CyberRat probes: High-resolution biohybrid devices for probing the brain

S Vassanelli, F Felderer, M Mahmud… - … and Biohybrid Systems …, 2012 - Springer
Neuronal probes can be defined as biohybrid entities where the probes and nerve cells
establish a close physical interaction for communicating in one or both directions. During the …

Systematic Design Procedure of CMOS Microelectrode-Arrays Based on Analog Signal Processing Noise Figure

E Vallicelli - … Systems and Technologies: 14th International Joint …, 2023 - books.google.com
Microelectrode-Arrays (MEAs) allow neural recording of thousands of neurons/mm 2 by
sensing: Extracellular Action Potentials (EAP) and Local Field Potentials (LFP). MEAs …