M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and Monitoring

Objective: For the further development of the fields of telemedicine, neurotechnology, and brain-computer interfaces, advances in hybrid multimodal signal acquisition and processing technology are invaluable. Currently, there are no commonly available hybrid devices combining bioelectrical and bioop...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2017-06, Vol.64 (6), p.1199-1210
Main Authors: von Luhmann, Alexander, Wabnitz, Heidrun, Sander, Tilmann, Muller, Klaus-Robert
Format: Article
Language:English
Subjects:
Accelerometers
Actigraphy - instrumentation
Analog-Digital Conversion
Architecture
Bioelectricity
Bluetooth
Body area networks
Brain Mapping - instrumentation
Computer architecture
Design
EEG
Electric Power Supplies
Electrocardiography
Electroencephalography
Electroencephalography (EEG)
Electroencephalography - instrumentation
Electromyography
Equipment Design
Equipment Failure Analysis
Hardware
Human-computer interface
hybrid brain–computer interface (BCI)
I.R. radiation
Information processing
Information Storage and Retrieval - methods
Infrared spectra
Infrared spectroscopy
Instruments
Interfaces
Linearity
Microcontrollers
Miniaturization
mobile
Mobile communication
modular
Modules
Monitoring, Ambulatory - instrumentation
multimodal
multimodal biosignal acquisition architecture (M3BA)
Near infrared radiation
near-infrared spectroscopy (NIRS)
Noise
Power consumption
Reproducibility of Results
Sensitivity and Specificity
Signal processing
Signal Processing, Computer-Assisted - instrumentation
Spectrophotometry, Infrared - instrumentation
Spectrophotometry, Infrared - methods
Spectroscopy
Spectrum analysis
Systems Integration
Technology
Telemedicine
wireless body area network (WBAN)
wireless body sensor network (WBSN)
Wireless networks
Wireless sensor networks
Wireless Technology - instrumentation
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Description
Summary:Objective: For the further development of the fields of telemedicine, neurotechnology, and brain-computer interfaces, advances in hybrid multimodal signal acquisition and processing technology are invaluable. Currently, there are no commonly available hybrid devices combining bioelectrical and biooptical neurophysiological measurements [here electroencephalography (EEG) and functional near-infrared spectroscopy (NIRS)]. Our objective was to design such an instrument in a miniaturized, customizable, and wireless form. Methods: We present here the design and evaluation of a mobile, modular, multimodal biosignal acquisition architecture (M3BA) based on a high-performance analog front-end optimized for biopotential acquisition, a microcontroller, and our openNIRS technology. Results: The designed M3BA modules are very small configurable high-precision and low-noise modules (EEG input referred noise @ 500 SPS 1.39 μV pp , NIRS noise equivalent power NEP 750 nm = 5.92 pW pp , and NEP 850 nm = 4.77 pW pp ) with full input linearity, Bluetooth, 3-D accelerometer, and low power consumption. They support flexible user-specified biopotential reference setups and wireless body area/sensor network scenarios. Conclusion: Performance characterization and in-vivo experiments confirmed functionality and quality of the designed architecture. Significance: Telemedicine and assistive neurotechnology scenarios will increasingly include wearable multimodal sensors in the future. The M3BA architecture can significantly facilitate future designs for research in these and other fields that rely on customized mobile hybrid biosignal modal biosignal acquisition architecture (M3BA), multimodal, near-infrared spectroscopy (NIRS), wireless body area network (WBAN), wireless body sensor network (WBSN).
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2016.2594127