2013
DOI: 10.1109/jsen.2013.2260651
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A CMOS Sensor for Measurement of Cerebral Optical Coefficients Using Non-Invasive Frequency Domain Near Infrared Spectroscopy

Abstract: A heterodyned architecture is integrated with a 180 nm CMOS chip for use in portable frequency domain near infrared spectroscopy (fdNIRS) tools for real time monitoring of tissue oxygenation in the brain. The design and performance measurement results of this chip are summarized in this paper to demonstrate its applicability in multi-distance fdNIRS to measure the absorption and scattering coefficients of tissue. The 2.25 mm 2 chip is integrated with four sensor channels, which have a high frequency low noise … Show more

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Cited by 18 publications
(11 citation statements)
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“…The accuracy of our instrument and previously reported fdNIR systems are compared in Table 2. 8,9,11,[14][15][16] We can see that our design achieved a good level of accuracy among the other reported systems. Especially considering the fact that our system if at least an order of magnitude smaller than systems of accuracy below 15% as well as avoiding the use of expensive (even more so than the complete commercial fdNIR instrument from ISS) and complex equipment such as a vector network analyzers (VNAs), standalone laser controller/drivers or very high speed ADCs that require an field programmable gate array development kit.…”
Section: Accuracy and Stabilitysupporting
confidence: 56%
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“…The accuracy of our instrument and previously reported fdNIR systems are compared in Table 2. 8,9,11,[14][15][16] We can see that our design achieved a good level of accuracy among the other reported systems. Especially considering the fact that our system if at least an order of magnitude smaller than systems of accuracy below 15% as well as avoiding the use of expensive (even more so than the complete commercial fdNIR instrument from ISS) and complex equipment such as a vector network analyzers (VNAs), standalone laser controller/drivers or very high speed ADCs that require an field programmable gate array development kit.…”
Section: Accuracy and Stabilitysupporting
confidence: 56%
“…The systematic errors such as validity of semi-infinite medium assumption, uneven light coupling, and variation in probe fabrication can be minimized by applying more sophisticated calibration and correction methods. 14…”
Section: Methodsmentioning
confidence: 99%
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“…Additional major components include an optical detector and the electronics necessary to extract and transmit the time-resolved signals. Miniaturized integrated circuits to perform processing of FDPM data have already been demonstrated; 36 , 37 however, detector miniaturization remains a challenge. Silicon-based APDs and photomultiplier tubes, common choices for FDPM measurements, both require a high voltage bias (>100 VDC) to achieve the required gain/sensitivity.…”
Section: Discussionmentioning
confidence: 99%
“…Recent developments in FD-NIRS instrumentation include implementations based on a compact frequency-sweeping circuit board (No et al, 2008), digital heterodyning (Arnesano et al, 2012), direct digital sampling (Roblyer et al, 2013;Zimmermann et al, 2016), frequency division multiplexing (Torjesen et al, 2017;Zhao et al, 2018), CMOS integrated circuitry (Sthalekar and Joyner Koomson, 2013;Yun and Joyner Koomson, 2013), and vertical cavity surface emitting lasers (VCSEL) (Sultan et al, 2013;Kitsmiller et al, 2018).…”
Section: Instrumentation For Fd-nirsmentioning
confidence: 99%