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Cognition Therapeutics announced that results from the SEQUEL study of CT1812, the Company's lead candidate for the treatment of Alzheimer's disease, were published in The Journal of Prevention of Alzheimer's [...]

Researchers from NTT - Nippon Telegraph and Telephone Corporation conducted a study on predicting esports competition outcomes using EEG data from expert players. The study focused on dynamic information reflecting the pre-match player's condition, particularly EEG data, to enhance prediction accuracy. The findings showed that the LightGBM algorithm trained on EEG data achieved 80% prediction accuracy, even in scenarios involving similar-level players and upsets. This research aims to extend the applicability of win/loss prediction to traditionally unpredictable sports scenes, improving spectator experiences. [Extracted from the article]

ATAI Therapeutics Inc. has been issued a patent for systems, devices, and methods that generate and manipulate objects in a virtual reality or multi-sensory environment to maintain a positive state for the user. The patent addresses the need for improved treatments for medical conditions and disorders, as well as enhancing safety and response to medical procedures. The invention involves presenting sensory elements through virtual reality devices and measuring user data, such as EEG data and heart rate variability, to determine the user's state and modify the presentation accordingly. This technology has potential applications in drug treatments and psychotherapy. The patent was filed by Prahlad Krishnan and assigned to ATAI Therapeutics Inc. [Extracted from the article]

A recent report from the Brain Functions Laboratory in Tokyo, Japan, discusses the age-related changes in the alpha rhythm of human electroencephalography (EEG) in relation to dementia. The study found that elderly individuals with dementia exhibited higher spatial and temporal variability in the triple correlation of the occipital region compared to healthy elderly individuals. The research also examined changes in spatial and temporal variability in the alpha band with aging in healthy individuals and found that young individuals had higher spatial variability and lower temporal variability compared to elderly individuals. The study suggests that the normal cortical dipole in the frontal regions may be more abundant in young individuals compared to healthy elderly individuals. [Extracted from the article]

Cognition Therapeutics announced topline results from its Phase 2 double-blind, single-crossover SEQUEL study of CT1812 in 16 adults with mild-to-moderate Alzheimer's disease. The study, which was conducted in the Netherlands, [...]

A patent has been issued to Toyota Motor Europe for a method and system that uses electroencephalography (EEG) signals to determine a user's driving intention in a vehicle. The method involves acquiring EEG signals from the user and analyzing various features of the signals to make predictions about the user's driving intentions. These predictions are then used to control the vehicle accordingly, such as turning left or right, accelerating, or braking. The system overcomes limitations of previous brain-computer interface solutions and aims to improve real-time performance and adaptability to multiple users. [Extracted from the article]

The article discusses a study from Zhejiang University in China, that explores enhancing brain-computer interface performance by incorporating both motor and tactile imagery, using high-density EEG source imaging to understand the neural dynamics involved. It mentions that this study reveals distinct activation patterns in the brain when subjects engage in imagined motor and tactile tasks, offering significant implications for improving neuroprosthetic control and rehabilitation therapies.

A patent has been issued to Nokia Technologies Oy for a method and apparatus for processing sensor data. The invention involves using a trained machine learning model to infer hand gestures based on bio sensor data, such as Electromyography (EMG) signals. The machine learning model includes a data adaptation part, an encoder, a decoder, and a classifier. The model can be retrained to update parameters based on changes in inter-session or inter-subject conditions. The patent aims to address the challenges of maintaining classification accuracy when using EMG sensors. [Extracted from the article]

A patent has been issued for EEG microstates analysis by Mor Research Applications Ltd. The invention relates to measuring EEG microstates in combination with neurological treatment. The method involves analyzing EEG data to generate one or more EEG parameters and generating a risk indication for depression or mild cognitive impairment based on these parameters. The patent also includes a device for calculating a risk indication associated with depression, which extracts EEG microstates and values of microstate parameters to calculate the risk indication. This invention has potential applications in diagnosing and monitoring mental health conditions. [Extracted from the article]

A patent has been issued to Advanced Global Clinical Solutions Inc. for systems and methods for seizure detection based on changes in electroencephalogram (EEG) non-linearities. Seizures can be life-threatening, so it is important to detect and respond to them early. However, current seizure detection algorithms have low performance in young children and often result in a large number of false positives. The patented system uses non-linear features of the EEG signal to determine if a seizure is occurring, and it can be implemented as a cloud-based or local system. [Extracted from the article]

A patent has been issued to Health Tech Connex Inc. for a system and method of quantifying motor function using EEG signals. The patent describes a computer-implemented method that automatically generates a motor control score for a subject based on EEG data. The method involves separating the EEG waveform into windows, determining frequency components, and calculating the motor control score based on these components. The invention aims to provide an improved, automated solution for assessing motor function in cases where it has been impacted by a neurological condition, disease, or injury. [Extracted from the article]

Neurolutions Inc. has received approval from the US Patent and Trademark Office for a brain signal sensing headset. The headset is designed to detect and measure electrical signals produced by brain cells without invasive procedures. It has potential applications in medical diagnostics, rehabilitation, and brain-computer interface systems. The device includes adjustable electrode assemblies, a housing with an energy source and electronic circuitry, and removable arms for consistent sensor placement. The patent application was filed by Bhugra, Kern; Leuthardt, Eric Claude; Proulx, Timothy; and Zwierstra, Jan. [Extracted from the article]

A study conducted by the Advanced Telecommunications Research Institute International in Kyoto, Japan, explores the use of advanced signal processing techniques to extract brain activity data from electroencephalography (EEG) recordings during skateboarding. The study used Artifact Subspace Reconstruction (ASR) and Independent Component Analysis (ICA) to clean the EEG data and evaluated the effectiveness of different cleaning pipelines. The results showed that the ASRICA pipeline, which combines ASR and ICA, performed the best in extracting brain activity during skateboarding. This study demonstrates the feasibility of recording brain activity during physically demanding tasks and lays the groundwork for future research in this area. [Extracted from the article]

Leaders at SoCal biohacking startup Wave Neuroscience recently returned from the 2023 SXSW tech conference in Austin, Texas, where the company was showcased as part of a panel promoting the [...]

Masimo announced the findings of a randomized, controlled trial published in the Journal of Clinical Anesthesia in which Dr. Melody H.Y. Long and colleagues from the KK Women's and Children's [...]

Thynk Inc. has been issued a patent for a functional EEG montage for cognitive skill development. The invention features a headset with electrical signal sensors that can be used by children and adults, particularly in gaming systems, to train attention. The headset includes a front portion with sensors positioned on the forehead and a locator bar to aid in positioning. The headset also has side portions that grip the head and can fold inward for storage. The invention aims to provide a convenient, comfortable, and intuitive electrode system for capturing bioelectric signals and developing cognitive skills. [Extracted from the article]

A patent has been issued to Sinaptica Therapeutics Inc. for systems and methods that provide personalized targeted non-invasive stimulation to a brain network. The patent aims to improve existing techniques for treating neurological and psychiatric diseases by personalizing the location and stimulation parameters for individual patients. The methods involve identifying brain regions based on neuroimaging data and assessing functional connectivity within these regions to determine the most strongly connected sub-region. The patent also describes using TMS-EEG functional mapping to determine optimal stimulation locations and characteristics for personalized treatment of neurological or psychiatric disorders. The systems and methods described in the patent have potential applications in the treatment or prevention of diseases such as Alzheimer's disease. [Extracted from the article]

Sony Interactive Entertainment LLC has been issued a patent for a method and system that captures biometric feedback while a user is looking at an object in a virtual reality (VR) environment. The method involves rendering a view of the virtual environment through a VR headset, detecting the user's gaze direction and focus depth, and using an electroencephalography (EEG) signal to determine the user's concentration on the identified virtual object. The system also includes a graphical indicator applied to the virtual object and allows for controller input and gesture input to interact with the virtual object. This technology has potential applications in video games and other immersive experiences. [Extracted from the article]

Zeto, Inc., a medical technology company, has received FDA 510(k) clearance for its innovative next-generation EEG brain monitoring product called ONE. The ONE system consists of a user-friendly headset with 21 soft-tip electrodes, intuitive LED feedback, and a portable recording device that captures patient video and audio. It also streams data to the Zeto Cloud for remote interpretations by neurologists. The ONE system aims to address the unmet needs in EEG healthcare by providing easy-to-use, comprehensive, and efficient EEG monitoring capabilities. Experts in the field have praised the ONE system for its potential to revolutionize emergency EEG acquisition and increase access to diagnostic and therapeutic interventions. The product is now available for sale. [Extracted from the article]

A patent application by inventor Peter Vincent Boesen has been made available online for a wireless earpiece with transcranial stimulation. Transcranial stimulation is a medical technique used to evaluate motor function or brain damage and has shown potential in treating depression and improving memory recall. The wireless earpiece includes a processor, transceiver, magnetic coil, and EEG sensors to generate electromagnetic pulses capable of reaching the user's brain and sense electrical signals. The invention aims to stimulate the brain and potentially aid in diagnosing neurological or medical conditions. The patent application was filed by BRAGI GmbH. [Extracted from the article]

A recent study conducted in Goyang, South Korea, explores the development of individual subtypes based on biomarkers as a means to understand mental health differences. The study incorporates electroencephalography (EEG) and photoplethysmogram (PPG) to establish a subtype classification system with clinical relevance. The research found that the distribution of subtypes differed between healthy participants and those with psychiatric disorders, and cognitive abilities and symptom severity varied among different subtypes. The study concludes that the utilization of EEG and PPG signals for subtype classification holds potential for the future of digital mental healthcare. [Extracted from the article]

A recent study conducted by Shiseido Co. Ltd. in Yokohama, Japan explored the relationship between subjective experiences, electroencephalogram (EEG), and heart rate variability during a series of cosmetic behaviors. The study found that cosmetic behavior, particularly for women, can increase visual attractiveness, self-confidence, and positive emotions. The researchers recorded EEG and electrocardiogram (ECG) data from thirty female participants who applied skincare and makeup and looked in a mirror. The study revealed that self-confidence increased and negative emotions decreased as the steps of cosmetic behaviors proceeded. Additionally, positive tactile perception and emotion were higher when luxury cosmetic products were used compared to affordable products. The study suggests that positive perceptual and emotional experiences are associated with greater attention to somatosensory information and sympathetic autonomic nervous system activities. The findings also highlight the potential use of physiological measurements as objective measures of cosmetic behavior. [Extracted from the article]

A recent study conducted in Ekaterinburg, Russia, investigated audiogenic epilepsy in Krushinsky-Molodkina (KM) rats and questioned the effectiveness of conventional EEG techniques in capturing seizures during animal restraint. The researchers used a wireless EEG system that allowed unrestricted movement to gather ecologically valid data. The findings suggest that targeted neural intervention through electrode implantation significantly reduced convulsive seizures in approximately half of the subjects, indicating therapeutic potential. The study also highlighted specific brain regions, such as the inferior colliculus, pontine reticular nucleus, and dorsal area of the secondary auditory cortex, as pivotal for epileptic propagation. These discoveries challenge conventional methodologies and open avenues for novel approaches in epilepsy research and therapeutic interventions. [Extracted from the article]

A patent has been issued for an EEG signal monitoring adapter device that can be attached to eyewear. The device is designed to provide continuous and portable EEG monitoring for patients with epilepsy and other mental disorders. It can also be used to optimize the efficiency of medical treatment for conditions such as Parkinson's disease and Alzheimer's disease. The adapter is removable and can be configured on any existing eyewear without changing its appearance, allowing for maximum comfort and stable EEG signal acquisition. It also has the capability to measure electrooculogram (EOG) for emotional recognition. The patent provides detailed specifications and variations of the device. [Extracted from the article]

This article discusses a patent application for a user interface that aids in the removal of artifacts in an electroencephalogram (EEG). The invention aims to provide a cleaner EEG by removing various types of artifacts, such as electrical issues, eye blinks, surface muscle interference, and tongue movement effects. The user interface allows for the visualization of the original signal or the signal after partial cleaning, providing confidence to the user and enabling the identification of useful information. The patent application describes a method and system for removing artifacts from EEG recordings, including a user-friendly interface and options for displaying and analyzing the data. [Extracted from the article]

Neumarker Inc. has been granted a patent for a method and system that utilizes electroencephalography (EEG) to predict treatment outcomes for patients with psychiatric disorders. This patent addresses the lack of physiological and pathological evidence in psychiatric diagnosis and treatment, as well as the challenges posed by the COVID-19 pandemic. The method involves analyzing EEG data to extract brain region mutual interaction characteristics and using a treatment response predictive model to determine treatment outcome predictions. This technology has the potential to enhance the diagnosis and treatment of psychiatric disorders, including those associated with the long-term effects of COVID-19. [Extracted from the article]

A patent has been issued for systems and methods to gather and analyze electroencephalographic (EEG) data. EEG involves measuring and recording electrical activity in the brain using electrodes placed on the scalp. The patent describes a headset with adjustable bands and electrode strips that can be placed on the head to measure voltage fluctuations resulting from neural activity. The data gathered from EEG signals can be used to determine a person's emotional or mental state and can be important in the treatment, diagnosis, and monitoring of various health conditions. The patent was filed by inventors from Frankfurt, Germany and Berkeley, California, and the assignee is Nielsen Company based in Chicago, Illinois. [Extracted from the article]