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

Volume

7

Issue

2

fYear

2013

fDate

Apr-13

Firstpage

169

Lastpage

177

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;

fLanguage

English

Journal_Title

Biomedical Circuits and Systems, IEEE Transactions on

Publisher

ieee

ISSN

1932-4545

Type

jour

DOI

10.1109/TBCAS.2013.2255052

Filename

6509463