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

Mufti Mahmud; Claudia Cecchetto; Marta Maschietto; Roland Thewes; Stefano Vassanelli

doi:10.1109/R10-HTC.2017.8289091

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

Mufti Mahmud^*, Claudia Cecchetto, Marta Maschietto, Roland Thewes, Stefano Vassanelli

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

To understand brain functions and diagnose brain disorders, scientists have developed various probing tools and techniques. This development has been facilitated by the rapid growth of micro- and nano-technology over the last two decades and allowed the scientists to record neuronal signals at multiple scales and simultaneously from hundreds of channels. However, this huge amount of data poses a big challenge and requires proper interpretation before any meaning can be derived. As a response, various automated and intelligent methods and tools have been proposed for the mining of such data. Here we overview some of the high-resolution neuronal probes available at present, the neuronal signals recorded through them, and a few possible automated methods to analyze the acquired signals. Towards the end we indicate few research challenges and outlook.

Original language	English
Title of host publication	5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	868-872
Number of pages	5
ISBN (Electronic)	9781538621752
DOIs	https://doi.org/10.1109/R10-HTC.2017.8289091
State	Published - 9 Feb 2018
Externally published	Yes
Event	5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017 - Dhaka, Bangladesh Duration: 21 Dec 2017 → 23 Dec 2017

Publication series

Name	5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017
Volume	2018-January

Conference

Conference	5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017
Country/Territory	Bangladesh
City	Dhaka
Period	21/12/17 → 23/12/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Brain-machine interface
artifact removal
extracellular signal
intelligent analysis
neuronal big data
noise characterization
somatosensory cortex

ASJC Scopus subject areas

Safety Research
Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition
Management, Monitoring, Policy and Law
Biomedical Engineering
Health(social science)

Access to Document

10.1109/R10-HTC.2017.8289091

Cite this

Mahmud, M., Cecchetto, C., Maschietto, M., Thewes, R., & Vassanelli, S. (2018). Towards high-resolution brain-chip interface and automated analysis of multichannel neuronal signals. In 5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017 (pp. 868-872). (5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/R10-HTC.2017.8289091

Mahmud, Mufti ; Cecchetto, Claudia ; Maschietto, Marta et al. / Towards high-resolution brain-chip interface and automated analysis of multichannel neuronal signals. 5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 868-872 (5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017).

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abstract = "To understand brain functions and diagnose brain disorders, scientists have developed various probing tools and techniques. This development has been facilitated by the rapid growth of micro- and nano-technology over the last two decades and allowed the scientists to record neuronal signals at multiple scales and simultaneously from hundreds of channels. However, this huge amount of data poses a big challenge and requires proper interpretation before any meaning can be derived. As a response, various automated and intelligent methods and tools have been proposed for the mining of such data. Here we overview some of the high-resolution neuronal probes available at present, the neuronal signals recorded through them, and a few possible automated methods to analyze the acquired signals. Towards the end we indicate few research challenges and outlook.",

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Mahmud, M, Cecchetto, C, Maschietto, M, Thewes, R & Vassanelli, S 2018, Towards high-resolution brain-chip interface and automated analysis of multichannel neuronal signals. in 5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017. 5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 868-872, 5th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2017, Dhaka, Bangladesh, 21/12/17. https://doi.org/10.1109/R10-HTC.2017.8289091

Towards high-resolution brain-chip interface and automated analysis of multichannel neuronal signals. / Mahmud, Mufti; Cecchetto, Claudia; Maschietto, Marta et al.
5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 868-872 (5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Cecchetto, Claudia

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AU - Vassanelli, Stefano

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AB - To understand brain functions and diagnose brain disorders, scientists have developed various probing tools and techniques. This development has been facilitated by the rapid growth of micro- and nano-technology over the last two decades and allowed the scientists to record neuronal signals at multiple scales and simultaneously from hundreds of channels. However, this huge amount of data poses a big challenge and requires proper interpretation before any meaning can be derived. As a response, various automated and intelligent methods and tools have been proposed for the mining of such data. Here we overview some of the high-resolution neuronal probes available at present, the neuronal signals recorded through them, and a few possible automated methods to analyze the acquired signals. Towards the end we indicate few research challenges and outlook.

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Mahmud M, Cecchetto C, Maschietto M, Thewes R, Vassanelli S. Towards high-resolution brain-chip interface and automated analysis of multichannel neuronal signals. In 5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 868-872. (5th IEEE Region 10 Humanitarian Technology Conference 2017, R10-HTC 2017). doi: 10.1109/R10-HTC.2017.8289091

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this