98%
921
2 minutes
20
A convenience that is desirable in diffuse reflectance spectroscopy (DRS) is to recover the spectral absorption by direct model inversion to facilitate decomposition of spectrally significant chromophores. Attaining such convenience that requires a simple forward model has been challenging in non-contact DRS, for assessing myoglobin forms, which is important to the evaluation of discoloration of meat. This work demonstrates that non-contact DRS configured in a center-illuminated-area-detection (CIAD) geometry [Appl. Opt.61, 9143 (2022) APOPAI0003-693510.1364/AO.468342] may be modeled by an exceptionally simple formula. This simple forward model for DRS in the CIAD geometry on a homogeneous medium has been examined by using Monte Carlo simulations, over a radius of the area of CIAD ranging from 1.5 to 10 mm, for the absorption coefficient to vary five orders of magnitude over , and the reduced scattering coefficient to vary two orders of magnitude over while limited to one scattering phase function. When compared to a previous cumbersome model for the same geometry, the simple model markedly outperforms at high absorption, e.g., . The simplicity of this model facilitates that, with knowledge of the spectral scattering, analytical operation could directly recover the spectral absorption to subsequently use linear inversion to resolve the chromophore proportions. Non-contact DRS in the CIAD geometry of in diameter using this simple forward model has been applied to seven steaks over 6 days of retail display. The progressive changes of myoglobin, including the decrease of oxymyoglobin and increase of metmyoglobin, over 6 days estimated by the simple model of non-contact DRS in CIAD are consistent with those assessed concurrently by a contact DRS using 3 mm source-detector separation [Meat Muscle Biol.5, 1 (2022)10.22175/mmb.12562].
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1364/AO.538244 | DOI Listing |
J Sports Sci
August 2024
Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, USA.
The objective of this study was to evaluate the effect of skill modifications on head motion experienced during women's artistic gymnastics skills. Nine gymnasts (four beginner and five advanced) completed three trials of up to 24 skill progressions, each consisting of a skill and two progressive safety modifications. Gymnasts were instrumented with mouthpiece sensors embedded with an accelerometer and gyroscope collecting motion data at 200, 300, and 500 Hz during each skill performance.
View Article and Find Full Text PDFCancers (Basel)
May 2023
Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK.
Up to 19% of patients require re-excision surgery due to positive margins in breast-conserving surgery (BCS). Intraoperative margin assessment tools (IMAs) that incorporate tissue optical measurements could help reduce re-excision rates. This review focuses on methods that use and assess spectrally resolved diffusely reflected light for breast cancer detection in the intraoperative setting.
View Article and Find Full Text PDFSci Rep
December 2021
Department of Bioengineering, Jacobs School of Engineering, University of California San Diego, 9500 Gilman Dr. MC 0412, La Jolla, CA, 92093, USA.
Home health monitoring has the potential to improve outpatient management of chronic cardiopulmonary diseases such as heart failure. However, it is often limited by the need for adherence to self-measurement, charging and self-application of wearables, or usage of apps. Here, we describe a non-contact, adherence-independent sensor, that when placed beneath the legs of a patient's home bed, longitudinally monitors total body weight, detailed respiratory signals, and ballistocardiograms for months, without requiring any active patient participation.
View Article and Find Full Text PDFSensors (Basel)
May 2021
Graduate School of Informatics and Engineering, The University of Electro-Communications (UEC), Tokyo 182-8585, Japan.
Heart rate measurement using a continuous wave Doppler radar sensor (CW-DRS) has been applied to cases where non-contact detection is required, such as the monitoring of vital signs in home healthcare. However, as a CW-DRS measures the speed of movement of the chest surface, which comprises cardiac and respiratory signals by body motion, extracting cardiac information from the superimposed signal is difficult. Therefore, it is challenging to extract cardiac information from superimposed signals.
View Article and Find Full Text PDF