TY - GEN
T1 - Why build an integrated EEG-NIRS? about the advantages of hybrid bio-acquisition hardware
AU - Von Luhmann, A.
AU - Muller, K. R.
N1 - Funding Information:
Research is in part funded by the BIMoS graduate school of TU Berlin. KRM is thankful for partial funding by the National Research Foundation of Korea funded by the Ministry of Education, Science, and Technology in the BK21 program and by the German Research Foundation through the grants DFG MU 987/6-1, SPP 1527 and MU 987/14-1. *Corresponding Author A. von Lühmann is with the Machine Learning Dept., Computer Science, Berlin Institute of Technology, Berlin, Germany (e-mail: a.vonluehmann@campus.tu-berlin.de).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/13
Y1 - 2017/9/13
N2 - Objective: In medical applications, neuroscience and brain-computer interface research, bimodal acquisition of brain activity using Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS) is at the moment achieved by combining separate commercial devices. We have investigated quantitatively whether dedicated hybrid systems exhibit more advantageous properties. Methods: We studied intermodality electrical crosstalk and timing jitter in two separate and one hybrid EEG-NIRS acquisition device. Results: Analysis revealed significantly higher impact of electrical NIRS current crosstalk into the EEG inputs and timing jitters between EEG-NIRS markers in separate devices compared to the hybrid system. Conclusion: The results support hybrid acquisition systems to be advantageous in setups that require high performance in timing and signal quality.
AB - Objective: In medical applications, neuroscience and brain-computer interface research, bimodal acquisition of brain activity using Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS) is at the moment achieved by combining separate commercial devices. We have investigated quantitatively whether dedicated hybrid systems exhibit more advantageous properties. Methods: We studied intermodality electrical crosstalk and timing jitter in two separate and one hybrid EEG-NIRS acquisition device. Results: Analysis revealed significantly higher impact of electrical NIRS current crosstalk into the EEG inputs and timing jitters between EEG-NIRS markers in separate devices compared to the hybrid system. Conclusion: The results support hybrid acquisition systems to be advantageous in setups that require high performance in timing and signal quality.
UR - http://www.scopus.com/inward/record.url?scp=85032198798&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2017.8037850
DO - 10.1109/EMBC.2017.8037850
M3 - Conference contribution
C2 - 29060891
AN - SCOPUS:85032198798
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 4475
EP - 4478
BT - 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Y2 - 11 July 2017 through 15 July 2017
ER -