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 μVpp, NIRS noise equivalent power NEP750 nm = 5.92 pWpp, and NEP850 nm = 4.77 pWpp) 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).
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 μVpp, NIRS noise equivalent power NEP750 nm = 5.92 pWpp, and NEP850 nm = 4.77 pWpp) 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).
Authors: Hasan Ayaz; Wesley B Baker; Giles Blaney; David A Boas; Heather Bortfeld; Kenneth Brady; Joshua Brake; Sabrina Brigadoi; Erin M Buckley; Stefan A Carp; Robert J Cooper; Kyle R Cowdrick; Joseph P Culver; Ippeita Dan; Hamid Dehghani; Anna Devor; Turgut Durduran; Adam T Eggebrecht; Lauren L Emberson; Qianqian Fang; Sergio Fantini; Maria Angela Franceschini; Jonas B Fischer; Judit Gervain; Joy Hirsch; Keum-Shik Hong; Roarke Horstmeyer; Jana M Kainerstorfer; Tiffany S Ko; Daniel J Licht; Adam Liebert; Robert Luke; Jennifer M Lynch; Jaume Mesquida; Rickson C Mesquita; Noman Naseer; Sergio L Novi; Felipe Orihuela-Espina; Thomas D O'Sullivan; Darcy S Peterka; Antonio Pifferi; Luca Pollonini; Angelo Sassaroli; João Ricardo Sato; Felix Scholkmann; Lorenzo Spinelli; Vivek J Srinivasan; Keith St Lawrence; Ilias Tachtsidis; Yunjie Tong; Alessandro Torricelli; Tara Urner; Heidrun Wabnitz; Martin Wolf; Ursula Wolf; Shiqi Xu; Changhuei Yang; Arjun G Yodh; Meryem A Yücel; Wenjun Zhou Journal: Neurophotonics Date: 2022-08-30 Impact factor: 4.212
Authors: Alexander von Lühmann; Yilei Zheng; Antonio Ortega-Martinez; Swathi Kiran; David C Somers; Alice Cronin-Golomb; Louis N Awad; Terry D Ellis; David A Boas; Meryem A Yücel Journal: Curr Opin Biomed Eng Date: 2021-02-03