Near-infrared spectroscopy, as a highly promising non-destructive analytical method, relies heavily on the development level of its calibration models for prediction effectiveness.

Accordingly, this study developed a noninvasive real-time glucose monitoring system based on a deep learning (DL) model (comprising convolutional neural network and long short-term memory network ...

Near-infrared spectroscopy measures cerebral regional tissue oxygen saturations (crSO2) and may guide delivery room respiratory management. This review evaluated whether crSO2 monitoring in addition ...

The study includes detailed monitoring of cerebral and renal oxygen saturation using near-infrared spectroscopy throughout the perioperative period, including desaturation and oversaturation events.

Discover how near-infrared spectroscopy is transforming food quality analysis. Learn how this rapid, non-destructive method ensures safety, authenticity and labelling accuracy in modern food ...

First systematic review on the use of near-infrared spectroscopy in aneurysmal subarachnoid haemorrhage (aSAH) patients. Rigorous methodology, in accordance with current guidelines, without language ...

3 Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China Objective: This study aimed to assess the impact of multimodal monitoring on predicting the prognosis of patients with spontaneous ...

Until now, there is no consensus on the unique spectroscopic signature of glucose, largely because the O-H bonds targeted in near-infrared (NIR) spectroscopy for glucose detection are also ...

Non-invasive glucose sensing has been a target for almost 30 years due to its implications for pain free monitoring.

Metabolic data from smartwatch measurements This optical phenomenon, an "asynchronicity between the low-frequency and oscillating components of oxy- and deoxy-Hb signals," can be used as a new index ...