NIRDuino: A modular, Bluetooth-enabled, Android®-configurable fNIRS system with dual-intensity mode built on Arduino® DOI Creative Commons
Anupam Kumar,

Seth B. Crawford,

Tiffany-Chau Le

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 24, 2024

Abstract Significance We present NIRDuino: an Open-source Android ® -configurable, modular, and Bluetooth-enabled fNIRS system that allows researchers to perform neuroimaging studies with up eight emitters 16 detectors. The complete (including tablet) can be assembled for less than $1000, the detectors arranged in any configuration achieve desired short long channels required their study. Aim has been designed non-engineers mind, researcher only needs design wearable interfaces attach body appropriate intended application. Approach consists of a battery-powered, wireless controller built on Arduino® Nano ESP32 platform, dongle sockets each connected, individual wired probes In accompaniment, Arduino®-based firmware application have also developed provided. selected configuration, configured output light both regular intensities low collect data “long channels” sufficient signal quality “short without saturation. This paper details system’s characterization phantom two physiological experiences human. Results easy-to-configure hardware/software demonstrated stability measurements using single emitter-detector pair placed phantom, reproduced previously published outcomes arterial cuff forearm arithmetic experiment forehead. Conclusion NIRDuino circuitry software modularity usability NIRS experiments, this low-cost platform will provide globally affordable easily adopt adapt unique experimental needs.

Language: Английский

SST: Sparse self-attention transformer for infrared spectrum deconvolution DOI

Lei Gao,

Xiaohong Yan, Lizhen Deng

et al.

Infrared Physics & Technology, Journal Year: 2024, Volume and Issue: 140, P. 105384 - 105384

Published: June 5, 2024

Language: Английский

Citations

4
Introduction to the Optics and the Brain 2023 feature issue DOI Creative Commons
Adam Q. Bauer, Emily A. Gibson, Hui Wang

et al.

Biomedical Optics Express, Journal Year: 2024, Volume and Issue: 15(4), P. 2110 - 2110

Published: Jan. 2, 2024

A feature issue is being presented by a team of guest editors containing papers based on contributed submissions including studies at Optics and the Brain, held April 24-27, 2023 as part Optica Biophotonics Congress: in Life Sciences, Vancouver, Canada.

Language: Английский

Citations

3
Investigating the effect of limited spectral information on NIRS-derived changes in hemoglobin and cytochrome-c-oxidase concentration with a diffusion-based model DOI Creative Commons

Georgina Leadley,

Robert Cooper,

Topun Austin

et al.

Biomedical Optics Express, Journal Year: 2024, Volume and Issue: 15(10), P. 5912 - 5912

Published: Sept. 3, 2024

This paper investigates the theoretical capability of near-infrared spectroscopy (NIRS) systems to accurately measure changes in oxidation state cerebral cytochrome-c-oxidase (CCO) alongside hemoglobins, for a deeper understanding NIRS limitations. Concentration oxy and deoxyhemoglobin (HbO HbR) indicate oxygen status blood vessels correlate with several other physiological parameters across different pathologies. The CCO indicates cellular energy usage efficiency through oxidative metabolism, potentially serving as biomarker brain tissue disorders. study employs an analytical model based on diffusion equation statistical analyses explore dependency estimated concentration various systematic parameters, such choice wavelengths, spectral bandwidth, uncertainties extinction coefficient (

Language: Английский

Citations

3
Quantification and stimulation of human glymphatic dynamics:New features of Alzheimer’s disease and effects of brain photobiomodulation DOI Creative Commons

Fiza Saeed,

Kathy L. Siepker,

Soeun Jang

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 5, 2025

A non-invasive device to measure the dynamics of cerebrospinal fluid (CSF) is highly desirable because CSF facilitates cleaning neurotoxic wastes in brain. better understanding helps promote healthy aging older adults and treat patients with neurological diseases. This study employed a multi-color optical method quantify prefrontal two groups: (1) (n = 16) without 27) Alzheimer's disease (2) young 26) before after light stimulation. The results revealed that coupling strengths between cerebral blood volume (CBV) were age-dependent significantly higher AD than controls. Prefrontal stimulation enhanced CBV-CSF coupling, suggesting improved drainage. underscores strategy as unique tool for monitoring interaction CBV CSF, well metabolic functions human brain, while demonstrating therapeutic potential brain treating neurodegenerative diseases involving drainage dysfunction.

Language: Английский

Citations

0
Understanding metabolic responses to forearm arterial occlusion measured with two-channel broadband near-infrared spectroscopy DOI Creative Commons

Fiza Saeed,

Caroline Carter,

John O. Kolade

et al.

Journal of Biomedical Optics, Journal Year: 2024, Volume and Issue: 29(11)

Published: Nov. 29, 2024

SignificanceBroadband near-infrared spectroscopy (bbNIRS) is useful for the quantification of cerebral metabolism. However, its usefulness has not been explored broad biomedical applications.AimWe aimed to quantify dynamic responses oxidized cytochrome c oxidase (Δ[oxCCO]) within mitochondria arterial occlusion and correlations between hemodynamic (Δ[HbO]) Δ[oxCCO] during after in forearm tissues.ApproachWe recruited 14 healthy participants with two-channel bbNIRS measurements response a 5-min occlusion. The system consisted one shared white-light source two spectrometers. modified Beer-Lambert law was applied determine occlusion-induced changes Δ[HbO] shallow- deep-tissue layers.ResultsDuring occlusion, hemodynamics exhibited expected changes, but remained constant, as observed 1- 3-cm channels. A linear correlation only recovery phase, stronger deeper tissues. observation constant cuff period consistent previous reports. interpretation this based on literature that oxygen metabolism skeletal muscle remains unchanged before all oxy-hemoglobin (and oxy-myoglobin) resources are completely depleted. Because adequate exhaust supply vascular bed forearm, local maintains redox uninterrupted by occlusion.ConclusionsWe provide better understanding mitochondrial demonstrate bbNIRS.

Language: Английский

Citations

0
A Lightweight Network with Domain Adaptation for Motor Imagery Recognition DOI Creative Commons
Xinmin Ding, Zenghui Zhang, Kun Wang

et al.

Entropy, Journal Year: 2024, Volume and Issue: 27(1), P. 14 - 14

Published: Dec. 27, 2024

Brain-computer interfaces (BCI) are an effective tool for recognizing motor imagery and have been widely applied in the control assistive operation domains. However, traditional intention-recognition methods face several challenges, such as prolonged training times limited cross-subject adaptability, which restrict their practical application. This paper proposes innovative method that combines a lightweight convolutional neural network (CNN) with domain adaptation. A feature extraction module is designed to extract key features from both source target domains, effectively reducing model's parameters improving real-time performance computational efficiency. To address differences sample distributions, adaptation strategy introduced optimize alignment. Furthermore, adversarial employed promote learning of domain-invariant features, significantly enhancing generalization ability. The proposed was evaluated on fNIRS dataset, achieving average accuracy 87.76% three-class classification task. Additionally, experiments were conducted two perspectives: model structure optimization data selection. results demonstrated potential advantages this applications recognition systems.

Language: Английский

Citations

0
NIRDuino: A modular, Bluetooth-enabled, Android®-configurable fNIRS system with dual-intensity mode built on Arduino® DOI Creative Commons
Anupam Kumar,

Seth B. Crawford,

Tiffany-Chau Le

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 24, 2024

Abstract Significance We present NIRDuino: an Open-source Android ® -configurable, modular, and Bluetooth-enabled fNIRS system that allows researchers to perform neuroimaging studies with up eight emitters 16 detectors. The complete (including tablet) can be assembled for less than $1000, the detectors arranged in any configuration achieve desired short long channels required their study. Aim has been designed non-engineers mind, researcher only needs design wearable interfaces attach body appropriate intended application. Approach consists of a battery-powered, wireless controller built on Arduino® Nano ESP32 platform, dongle sockets each connected, individual wired probes In accompaniment, Arduino®-based firmware application have also developed provided. selected configuration, configured output light both regular intensities low collect data “long channels” sufficient signal quality “short without saturation. This paper details system’s characterization phantom two physiological experiences human. Results easy-to-configure hardware/software demonstrated stability measurements using single emitter-detector pair placed phantom, reproduced previously published outcomes arterial cuff forearm arithmetic experiment forehead. Conclusion NIRDuino circuitry software modularity usability NIRS experiments, this low-cost platform will provide globally affordable easily adopt adapt unique experimental needs.

Language: Английский

Citations

0