Title :
Efficient Data Extraction Method for Near-Infrared Spectroscopy (NIRS) Systems With High Spatial and Temporal Resolution
Author :
Jong-Kwan Choi ; Min-Gyu Choi ; Jae-Myoung Kim ; Hyeon-Min Bae
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
Abstract :
An hardware-efficient method for the extraction of hemodynamic responses in near-infrared spectroscopy systems is proposed to increase the spatial and temporal resolution. The performance improvement is attributed to high signal-to-noise ratio receivers, a modulation scheme, and a multi-input-multi-output based data extraction algorithm. The proposed system shows more than twofold improvement in the figure of merit compared to conventional designs. Experimental results support the validity of the proposed system.
Keywords :
biomedical measurement; brain; feature extraction; haemodynamics; infrared spectroscopy; medical signal processing; neurophysiology; optical modulation; NIRS; cerebral hemodynamics; data extraction method; modulation scheme; near-infrared spectroscopy; signal-to-noise ratio receivers; spatial resolution; temporal resolution; Data mining; Detectors; Hemodynamics; Mathematical model; Photonics; Slabs; Spatial resolution; Code division multiple access (CDMA); hemodynamics; multi-input multi-output (MIMO); near-infrared spectroscopy (NIRS); spectroscopy; Algorithms; Analog-Digital Conversion; Brain; Cerebrovascular Circulation; Computer Simulation; Equipment Design; Hemodynamics; Hemoglobins; Humans; Neurons; Optics and Photonics; Oxygen Consumption; Respiration; Signal Processing, Computer-Assisted; Signal-To-Noise Ratio; Skull; Spectroscopy, Near-Infrared; Time Factors;
Journal_Title :
Biomedical Circuits and Systems, IEEE Transactions on
DOI :
10.1109/TBCAS.2013.2255052
