Literature DB >> 23893764

Toward a fully integrated wireless wearable EEG-NIRS bimodal acquisition system.

J Safaie1, R Grebe, H Abrishami Moghaddam, F Wallois.   

Abstract

OBJECTIVE: Interactions between neuronal electrical activity and regional changes in microcirculation are assumed to play a major role in physiological brain activity and the development of pathological disorders, but have been poorly elucidated to date. There is a need for advanced diagnostic tools to investigate the relationships between these two physiological processes. APPROACH: To meet these needs, a wireless wearable system has been developed, which combines a near infrared spectroscopy (NIRS) system using light emitting diodes (LEDs) as a light source and silicon photodiodes as a detector with an integrated electroencephalography (EEG) system. MAIN
RESULTS: The main advantages over currently available devices are miniaturization and integration of a real-time electrical and hemodynamic activity monitor into one wearable device. For patient distributed monitoring and creating a body-area network, up to seven same devices can be connected to a single base station (PC) synchronously. Each node presents enhanced portability due to the wireless communication and highly integrated components resulting in a small, lightweight signal acquisition device. Further progress includes the individual control of LEDs output to automatically or interactively adjust emitted light to the actual local situation online, the use of silicon photodiodes with a safe low-voltage power supply, and an integrated three dimensional accelerometer for movement detection for the identification of motion artifacts. SIGNIFICANCE: The device was tested and validated using our enhanced EEG-NIRS tissue mimicking fluid phantom for sensitivity mapping. Typical somatotopic electrical evoked potential experiments were performed to verify clinical applicability.

Entities:  

Mesh:

Year:  2013        PMID: 23893764     DOI: 10.1088/1741-2560/10/5/056001

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  28 in total

1.  Evaluating real-time image reconstruction in diffuse optical tomography using physiologically realistic test data.

Authors:  Sabrina Brigadoi; Samuel Powell; Robert J Cooper; Laura A Dempsey; Simon Arridge; Nick Everdell; Jeremy Hebden; Adam P Gibson
Journal:  Biomed Opt Express       Date:  2015-11-09       Impact factor: 3.732

2.  EEG-NIRS based assessment of neurovascular coupling during anodal transcranial direct current stimulation--a stroke case series.

Authors:  Anirban Dutta; Athira Jacob; Shubhajit Roy Chowdhury; Abhijit Das; Michael A Nitsche
Journal:  J Med Syst       Date:  2015-02-17       Impact factor: 4.460

Review 3.  Hemodynamic correlates of cognition in human infants.

Authors:  Richard N Aslin; Mohinish Shukla; Lauren L Emberson
Journal:  Annu Rev Psychol       Date:  2014-09-22       Impact factor: 24.137

4.  Fiberless, Multi-Channel fNIRS-EEG System Based on Silicon Photomultipliers: Towards Sensitive and Ecological Mapping of Brain Activity and Neurovascular Coupling.

Authors:  Antonio Maria Chiarelli; David Perpetuini; Pierpaolo Croce; Giuseppe Greco; Leonardo Mistretta; Raimondo Rizzo; Vincenzo Vinciguerra; Mario Francesco Romeo; Filippo Zappasodi; Arcangelo Merla; Pier Giorgio Fallica; Günter Edlinger; Rupert Ortner; Giuseppe Costantino Giaconia
Journal:  Sensors (Basel)       Date:  2020-05-16       Impact factor: 3.576

Review 5.  Multichannel continuous electroencephalography-functional near-infrared spectroscopy recording of focal seizures and interictal epileptiform discharges in human epilepsy: a review.

Authors:  Ke Peng; Philippe Pouliot; Frédéric Lesage; Dang Khoa Nguyen
Journal:  Neurophotonics       Date:  2016-02-11       Impact factor: 3.593

6.  Multichannel wearable fNIRS-EEG system for long-term clinical monitoring.

Authors:  Ali Kassab; Jérôme Le Lan; Julie Tremblay; Phetsamone Vannasing; Mahya Dehbozorgi; Philippe Pouliot; Anne Gallagher; Frédéric Lesage; Mohamad Sawan; Dang Khoa Nguyen
Journal:  Hum Brain Mapp       Date:  2017-10-23       Impact factor: 5.038

7.  Towards a wearable near infrared spectroscopic probe for monitoring concentrations of multiple chromophores in biological tissue in vivo.

Authors:  Danial Chitnis; Dimitrios Airantzis; David Highton; Rhys Williams; Phong Phan; Vasiliki Giagka; Samuel Powell; Robert J Cooper; Ilias Tachtsidis; Martin Smith; Clare E Elwell; Jeremy C Hebden; Nicholas Everdell
Journal:  Rev Sci Instrum       Date:  2016-06       Impact factor: 1.523

Review 8.  Continuous monitoring of brain dynamics with functional near infrared spectroscopy as a tool for neuroergonomic research: empirical examples and a technological development.

Authors:  Hasan Ayaz; Banu Onaral; Kurtulus Izzetoglu; Patricia A Shewokis; Ryan McKendrick; Raja Parasuraman
Journal:  Front Hum Neurosci       Date:  2013-12-18       Impact factor: 3.169

9.  Toward a Wireless Open Source Instrument: Functional Near-infrared Spectroscopy in Mobile Neuroergonomics and BCI Applications.

Authors:  Alexander von Lühmann; Christian Herff; Dominic Heger; Tanja Schultz
Journal:  Front Hum Neurosci       Date:  2015-11-12       Impact factor: 3.169

10.  Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface.

Authors:  M Jawad Khan; Melissa Jiyoun Hong; Keum-Shik Hong
Journal:  Front Hum Neurosci       Date:  2014-04-28       Impact factor: 3.169

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