Infrared spectroscopy

WiMi Developed Explainable Artificial Intelligence (XAI)-based fNIRS Neuroimage Classification

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木曜日, 12月 7, 2023
Cloud, Classification, Brain, Research, CNN, BCI, Augmented reality, Virtual reality, Data analysis, Artificial intelligence, Holography, Infrared spectroscopy, Human, WIMI, LSTM, Medical imaging

BEIJING, Dec. 7, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it developed explainable artificial intelligence (XAI)-based fNIRS neuroimage classification, bringing a breakthrough in the development of BCI technology.

Key Points: 
  • BEIJING, Dec. 7, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that it developed explainable artificial intelligence (XAI)-based fNIRS neuroimage classification, bringing a breakthrough in the development of BCI technology.
  • WiMi's XAI-based fNIRS neuroimage classification system consists of several key modules that work together to process, analyze, and interpret data for accurate brain activity classification and interpretation.
  • WiMi's XAI-based fNIRSfNIRS neuroimage classification system employs two key classification modules, i.e., a one-dimensional sliding-window-based convolutional neural network (CNN) and a long short-term memory (LSTM) neural network.
  • The research and application of WiMi's XAI-based fNIRSfNIRS neuroimage classification system brings new insights to the field of brain science.

WiMi Announced Motion Artifact Suppression and Morphology Optimization Algorithm for fNIRS Signals

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月曜日, 12月 4, 2023
Cloud, Signal-to-noise ratio, Research, Cognitive neuroscience, Database, Augmented reality, Artifact, Algorithm, Holography, Neurofeedback, WIMI, Motion, Ceramic, Medical imaging, Infrared spectroscopy

BEIJING, Dec. 4, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that a new motion artifact suppression and morphology optimization algorithm is developed for motion artifacts such as peaks, baseline mutations and slow drifts in fNIRS signal processing based on mathematical morphology and median filtering methods.

Key Points: 
  • BEIJING, Dec. 4, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that a new motion artifact suppression and morphology optimization algorithm is developed for motion artifacts such as peaks, baseline mutations and slow drifts in fNIRS signal processing based on mathematical morphology and median filtering methods.
  • The core of the algorithm is the strategy of integrated motion artifact suppression and morphological optimization.
  • Mathematical morphology optimization correction: For motion artifacts of the baseline mutations and slow drift types, the algorithm uses mathematical morphology optimization methods for correction.
  • The technical framework of WiMi's fNIRS-MASMOA integrates the directional median filtering algorithm, mathematical morphology algorithm, and gradient analysis in signal processing to achieve accurate suppression and optimization of the original signals through the differential processing of different types of motion artifacts in the fNIRS signals.

WiMi Announced an Optimized Classification Based on EEG and fNIRS

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火曜日, 11月 28, 2023
Cloud, Classification, Brain, Acquisition, LDA, Augmented reality, KNN, Algorithm, Artificial intelligence, Intelligence, Machine learning, Holography, SVM, Infrared spectroscopy, Support vector machine, WIMI, EEG, AI, Noise, Complementarity, Medical imaging

WiMi's classification optimization based on EEG and fNIRS mainly includes the key steps of data acquisition and pre-processing, signal fusion and feature extraction, feature weighting and optimization, classifier design and training, and result analysis and optimization.

Key Points: 
  • WiMi's classification optimization based on EEG and fNIRS mainly includes the key steps of data acquisition and pre-processing, signal fusion and feature extraction, feature weighting and optimization, classifier design and training, and result analysis and optimization.
  • Key components include:
    Data acquisition and pre-processing: By acquiring and pre-processing EEG and fNIRS signals.
  • Signal fusion and feature extraction: The pre-processed EEG and fNIRS signals are fused and key features are extracted.
  • WiMi's EEG and fNIRS-based classification optimization aims to give full play to the complementary advantages of EEG and fNIRS signals, and improve the classification and recognition accuracy of brain activities through reasonable data processing and analysis methods.

WiMi Developed a Hybrid Bio-Signal-Based Brain-Computer Interface

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月曜日, 10月 23, 2023
Cloud, Intelligence, Relaxation, Feedback, Cerebral cortex, Eye, Neuron, WIMI, Electromyography, Acquisition, BCI, Electroencephalography, Light, Research, Muscle contraction, Artificial intelligence, Interface (computing), Holography, Periodic limb movement disorder, Virtual reality, Infrared spectroscopy, Machine learning, EMG, Scalp, HBS, Electrooculography, Classification, Brain, Noise, Algorithm, EOG, EEG, AR, Ophthalmoscopy, Augmented reality, Electrode, Medical imaging, Instrumentation

BEIJING, Oct. 23, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that WiMi has developed a hybrid bios-signal-based brain-computer interface (HBS-BCI) that is rapidly gaining prominence.

Key Points: 
  • BEIJING, Oct. 23, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that WiMi has developed a hybrid bios-signal-based brain-computer interface (HBS-BCI) that is rapidly gaining prominence.
  • As a company focused on innovation and technology, WiMi is committed to providing advanced solutions that improve the way people interact with technology.
  • Paradigm design and task setup determine the specific activities or tasks to be accomplished by the user in the brain-computer interface task.
  • In addition to the basic application of HBS-BCI technology, WiMi will further research and develop HBS-BCI to promote its real-time application in daily life scenarios.

WiMi Developed a BCI Based on EEG-fNIRS Multi-modal Data Integration

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木曜日, 9月 14, 2023
Cloud, Holography, Augmented reality, BCI, WIMI, Intelligence, Brain, Research, Interface (computing), Electroencephalography, Infrared spectroscopy, Data collection, EEG, Virtual reality, Diagnosis, Multi, AR, Medical imaging

BEIJING, Sept. 14, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that a brain-computer interface (BCI) based on EEG-fNIRS multi-modal data integration is developed to improve the performance and accuracy of EEG-fNIRS multi-modal data integration.

Key Points: 
  • BEIJING, Sept. 14, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that a brain-computer interface (BCI) based on EEG-fNIRS multi-modal data integration is developed to improve the performance and accuracy of EEG-fNIRS multi-modal data integration.
  • WiMi utilized a binary enhancement algorithm to achieve effective integration of EEG and fNIRS data.
  • Data pre-processing: The collected data need to be pre-processed for EEG and fNIRS data, including filtering, denoising, and de-artifacting to improve the data quality.
  • Data integration: In the EEG-fNIRS multi-modal data integration, features are combined to obtain a comprehensive multi-modal feature representation.

Kawasaki Medical School: Testing brain activity to decipher chronic indigestion

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木曜日, 9月 14, 2023
Food, Indigestion, Kawasaki Medical School, Quality of life, Intelligence, Irritable bowel syndrome, Research, Brain, Infrared spectroscopy, Cerebral cortex, Patient, IBS, Diagnosis, Empathy, Mental health, Nursing, Medical imaging

OKAYAMA, Japan, Sept. 14, 2023 /PRNewswire/ -- Patients with a type of chronic indigestion called functional dyspepsia experience abdominal discomfort without having obvious physiological or biochemical causes. The condition shares similarities with irritable bowel syndrome (IBS). Researchers at the Kawasaki Medical School in Japan have used brain signals gathered from the surface of the head to suggest that patients with functional dyspepsia experience mental distress simply by watching images of food they dislike.

Key Points: 
  • Researchers at the Kawasaki Medical School in Japan have used brain signals gathered from the surface of the head to suggest that patients with functional dyspepsia experience mental distress simply by watching images of food they dislike.
  • Participants' brain activity while viewing food images was then detected using functional near-infrared spectroscopy (fNIRS).
  • This uses an array of scalp-mounted detectors to assess brain activity by monitoring the levels of oxygen-carrying hemoglobin in the outer layer of the brain called the cerebral cortex.
  • The study compared the brain activity of patients with functional dyspepsia or IBS with the activity of healthy control subjects.

Kawasaki Medical School: Testing brain activity to decipher chronic indigestion

Retrieved on: 
木曜日, 9月 14, 2023
Food, Indigestion, Kawasaki Medical School, Quality of life, Intelligence, Irritable bowel syndrome, Research, Brain, Infrared spectroscopy, Cerebral cortex, Patient, IBS, Diagnosis, Empathy, Mental health, Nursing, Medical imaging

OKAYAMA, Japan, Sept. 14, 2023 /PRNewswire/ -- Patients with a type of chronic indigestion called functional dyspepsia experience abdominal discomfort without having obvious physiological or biochemical causes. The condition shares similarities with irritable bowel syndrome (IBS). Researchers at the Kawasaki Medical School in Japan have used brain signals gathered from the surface of the head to suggest that patients with functional dyspepsia experience mental distress simply by watching images of food they dislike.

Key Points: 
  • Researchers at the Kawasaki Medical School in Japan have used brain signals gathered from the surface of the head to suggest that patients with functional dyspepsia experience mental distress simply by watching images of food they dislike.
  • Participants' brain activity while viewing food images was then detected using functional near-infrared spectroscopy (fNIRS).
  • This uses an array of scalp-mounted detectors to assess brain activity by monitoring the levels of oxygen-carrying hemoglobin in the outer layer of the brain called the cerebral cortex.
  • The study compared the brain activity of patients with functional dyspepsia or IBS with the activity of healthy control subjects.

Now Meta Quest Pro Data Collection Features Allow Creating Scientific VR Research Apps in Python

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火曜日, 8月 15, 2023
Infrared spectroscopy, Virtual reality, Augmented reality, Oculus Quest, Vizard, Data collection, Research, Meta Quest Pro, VR, Running, Data analysis, AR, Video game, Mobile phone, Python

The integration between WorldViz's Vizard VR Toolkit for researchers and Meta Quest Pro offers groundbreaking opportunities for academic researchers, as shown in this video .

Key Points: 
  • The integration between WorldViz's Vizard VR Toolkit for researchers and Meta Quest Pro offers groundbreaking opportunities for academic researchers, as shown in this video .
  • The integration of Meta Quest Pro and the Vizard Python-based toolkit, marks a significant advancement in data collection capabilities within a VR and AR capable headset.
  • For more details about the capabilities of Meta Quest Pro's tracking technology and its integration with Vizard, please refer to our Meta Quest Pro and Vizard video and read our recent blog post, "WorldViz Vizard and Meta Quest Pro for Academic Research" .
  • Please contact us at [email protected] to get started with Vizard and the Meta Quest Pro for your research!

Kernel's Revolutionary Neuroimaging Technology, Flow1, Validated in Published Feasibility Study on Measuring Psychedelic Effects

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木曜日, 7月 20, 2023
Research, Mental Health, Clinical Trials, Health Technology, Biotechnology, Radiology, General Health, Pharmaceutical, Health, Science, Human, Therapy, Nature Portfolio, TD, Amplitude, Neuroimaging, Brain, Biomarker, Infrared spectroscopy, Scientific Reports, Ketamine, NYSE, Consciousness, NEO, Medical imaging, Kernel

Kernel, a leader in non-invasive neuroimaging, announces the publication of their study " Measuring acute effects of subanesthetic ketamine on cerebrovascular hemodynamics in humans using TD-fNIRS ," in the journal Scientific Reports from the Nature Portfolio of Journals.

Key Points: 
  • Kernel, a leader in non-invasive neuroimaging, announces the publication of their study " Measuring acute effects of subanesthetic ketamine on cerebrovascular hemodynamics in humans using TD-fNIRS ," in the journal Scientific Reports from the Nature Portfolio of Journals.
  • This is the first fNIRS human neuroimaging study with ketamine ever conducted and the largest fNIRS study measuring the acute effect of a psychedelic.
  • “The feasibility study is truly groundbreaking as it supports Kernel’s ability to measure functional brain activity in real time, using a wearable, convenient device.
  • The study results also suggest that a combination of metrics may be predictive of subjective mystical experiences during psychedelic treatment,” said Doug Drysdale, Chief Executive Officer of Cybin.

New Research to Use Brain Imaging to Measure Human-Dog Interaction

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水曜日, 1月 18, 2023
Brain, Veterinary medicine, Functional near-infrared spectroscopy, Purdue University College of Pharmacy, Heart rate, Dog, Weldon School of Biomedical Engineering, Biomedical engineering, Anthrozoology, Purdue University, Functional, Neuroscience, Human, Research, Infrared spectroscopy, Social, Medical imaging

WASHINGTON, Jan. 18, 2023 /PRNewswire-PRWeb/ -- The Human Animal Bond Research Institute (HABRI) and Pet Partners announced today a grant to Purdue University for a research project that will investigate the impact interacting with a dog has on human brain activity. Researchers will use Functional Near-Infrared Spectroscopy (fNIRS) to measure the neural responses correlating with human-dog interaction, and potential factors that influence these responses.

Key Points: 
  • Researchers will use Functional Near-Infrared Spectroscopy (fNIRS) to measure the neural responses correlating with human-dog interaction, and potential factors that influence these responses.
  • "We're proud to fund this research project, which will use imaging technology to gain a deeper understanding of what happens inside the brain when a dog brings comfort to someone in need."
  • A large body of research demonstrates the benefits of the human-animal bond for the mental and physical health and wellbeing of people.
  • fNIRS is one of the most common non-invasive functional imaging methods, which uses near-infrared light to estimate neural or brain activity.