Naxon Labs

With the Neuphony Desktop Application you can process brainwaves data from the Neuphony devices. It is an application for all the researchers and wellness centers where they get all the tools required to sumplify their research of to enchance the journey of the customers. Neuphony has launched recently the most awaited "Report Generation" feature in the desktop application where you will get a report after recording every session. You can download, print and share that with the client/customer and even add your notes to it as well. Packed with a range of powerful features, this application is designed to provide researchers and enthusiasts with valuable insights into cognitive health and neurological activity. Let's explore some of its standout features: Import/Export .edf files: With Neuphony, you can effortlessly import and export .edf files. This functionality allows you to preview the data from previous sessions, enabling seamless integration with your existing research or analysis. Via Cable/Bluetooth Connectivity: Neuphony offers flexible connectivity options. Whether you prefer a Bluetooth dongle or a type C-USB cable, you can easily connect your devices and begin exploring brainwave data. Multiple Experiments: Researchers can rejoice as Neuphony supports a variety of experiments, including P300, MMN, and AEP. These experiments provide valuable insights into cognitive health and offer a deeper understanding of brain function. Session Playback: Never miss a detail with Neuphony's session playback feature. By recording EEG data during sessions, you can revisit and review the recorded data for further analysis, ensuring accurate and comprehensive results. Band Power Analysis: Neuphony empowers you to unravel neurological insights through band power analysis. This feature allows you to examine the power spectrum of brainwaves across different frequency bands, providing a deeper understanding of brain activity. Real-Time EEG: Harnessing the power of EEG technology, Neuphony provides real-time monitoring of brainwave activity. This invaluable feature allows you to observe and analyze brainwave patterns across diverse brain regions as they happen, providing immediate feedback and insights. Cognitive Insights: Neuphony's advanced algorithms unlock a treasure trove of cognitive insights. By analyzing brainwave data, the application provides valuable information on focus, stress, mood, vigilance, and mental fatigue. This comprehensive understanding of cognitive states opens up new avenues for research and personal development. Task-Based Reports: Neuphony offers task-based reports, enabling you to leverage the power of EEG data for comprehensive analysis. These reports provide detailed information on brainwave activity during specific tasks or stimuli, offering a deeper understanding of cognitive processes. This application works with both the Headband and the Flex Cap. Device Fitment: How to Wear the Device Correctly Properly wearing the device is crucial to ensure accurate data collection and reliable results. Follow these steps to correctly fit the device: 1. Start by loosening the strap on the device. Gently slide the device from the front of your head towards the desired position. 2. The reference electrodes are positioned just above and behind both of your ears. As you adjust the device, keep an eye on the sensor color changes. Once you observe a change in sensor color, it indicates that the reference electrodes are correctly placed. 3. The color displayed in the circles represents the quality of contact based on the impedance. It is essential to have a strong signal in most of the required sensor locations. Adjust the headset until you achieve a strong signal in the majority of the required sensor locations. 4. Pay special attention to the Fz and Pz sensors. These sensors are crucial for Neuphony protocols to provide accurate results. Ensure that these sensors are properly connected and have a strong signal. 5. Once the Fz and Pz sensors have been connected for at least 5 seconds, a "Continue" button will appear at the bottom. This indicates that the device is properly fitted, and you can proceed with your session. By following these steps, you can ensure that the Neuphony device is worn correctly, allowing for optimal data collection and accurate analysis. Proper fitment of the device is essential to obtain reliable cognitive insights and make the most of your research or personal cognitive training sessions. Working with data. Frequency Analysis Unlocking Cognitive Insights: Exploring Real-Time Analysis Have you ever wondered how our brainwaves can provide insights into our cognitive states? The field of neuroscience has made remarkable strides in understanding the relationship between brain activity and mental states. One fascinating area of study is the analysis of cognitive insights based on real-time analysis. Let's delve into this intriguing concept and explore how specific brainwave patterns can shed light on various aspects of our cognition. Working with insights Relaxation Levels: When we enter a state of relaxation, our brain exhibits distinct patterns. Increased alpha band power in the occipital region, located at the back of the head, is associated with relaxation. Additionally, a decrease in beta band power in the frontal region suggests a state of relaxation. By monitoring these patterns, real-time analysis can provide valuable insights into our relaxation levels. Focus Levels: Heightened focus is a sought-after mental state for many tasks. Real-time analysis reveals that increased beta band power in the frontal and parietal regions of the brain is indicative of heightened focus. Furthermore, a decrease in theta band activity in the prefrontal cortex suggests improved attention and focus. By measuring these patterns, cognitive insights can be derived regarding our focus levels. Vigilance: Vigilance refers to a state of heightened alertness and attentiveness. Real-time analysis indicates that increased beta band power in the central and parietal regions of the brain suggests heightened vigilance. Moreover, a decrease in alpha band power in the occipital region correlates with improved vigilance. By monitoring these patterns, cognitive insights can be gained regarding our level of vigilance. Mental Fatigue: Mental fatigue can significantly impact cognitive performance. Real-time analysis allows us to identify brainwave patterns associated with mental fatigue. Increased theta band activity in the frontal and central regions indicates fatigue, while a decrease in beta band power in the parietal and occipital regions suggests fatigue-related cognitive impairment. By analyzing these patterns, cognitive insights can be gleaned about our mental fatigue levels. Mood: Our mood plays a crucial role in our overall well-being. Real-time analysis can provide valuable information about our mood states. Increased alpha band power in the left prefrontal cortex is correlated with a positive mood. Conversely, decreased beta band power in the frontal region may indicate a negative mood state. By examining these patterns, cognitive insights can be obtained regarding our mood. Posterior Dominant Rhythm (PDR): The posterior dominant rhythm (PDR) is an alpha band rhythm prominently observed in the occipital region during relaxed wakefulness. It reflects the resting-state activity of the visual cortex. By analyzing PDR patterns, researchers and clinicians can gain insights into the baseline activity of the visual cortex, contributing to a better understanding of brain function and cognitive processes. Real-time analysis of brainwave patterns offers a fascinating window into our cognitive states. By monitoring and interpreting specific frequency bands and brain regions, cognitive insights can be derived regarding relaxation levels, focus, vigilance, mental fatigue, mood, and even the baseline activity of the visual cortex. This valuable information opens up new avenues for research, clinical applications, and personal development. As technology continues to advance, real-time analysis of brainwave data holds immense promise for a wide range of fields. From optimizing cognitive performance to understanding mental health conditions, the potential applications are vast. So, the next time you reflect on your mental state, remember that our brainwaves hold hidden treasures, waiting to be unraveled through the captivating world of cognitive insights based on real-time analysis. Report generation feature of Neuphony Desktop Application Here is a seamless procedure to update and generate reports using the Neuphony Desktop Application: Step 1: Take your cursor to the top bar and click on the "Help" option. This can be easily located in the application's interface. Step 2: Once the "Help" menu opens, click on the "Download & Install Updates Automatically" option. This ensures that you have the latest version of the application along with all upcoming updates. The application will now begin downloading and installing the latest version. Step 3: After the installation process is complete, you will be prompted to quit and reopen the application. This ensures that the changes and updates take effect, and you are now ready to use the new features. Step 4: Record a session using the Neuphony Desktop Application. Once you have finished the session, locate the '⋯' icon within the application's interface. Step 5: Click on the "Print Report" button to initiate the report generation process. Please be patient as it may take a few seconds for the report to load. Once loaded, you will be presented with a comprehensive report of your session, which can also be downloaded and printed. Step 6: If desired, you can further enhance the report by adding your own notes, observations, or recommendations using the "Notes" button. After making the necessary additions, click on the "Preview" button to review the changes. Once satisfied, you can proceed to print the report. With these simple steps, you can effortlessly update the Neuphony Desktop Application, record sessions, and generate detailed reports. The application's user-friendly interface and intuitive features make it a powerful tool for analyzing and documenting brainwave data. Start unlocking valuable insights and enhancing your cognitive research journey with Neuphony.

Neurotechnology in New Zealand: developments and state of the art

Developments and state of the art of neurotechnology in New Zealand. Neurotechnology in New Zealand is a rapidly advancing field, with research being conducted in both academia and industry. One of the key areas of research in New Zealand is in the development of neural prosthetics. These devices, which interface with the nervous system, have the potential to restore function to those who have lost it due to injury or disease. For example, researchers at the University of Auckland are developing implantable devices that can be used to restore movement to people with spinal cord injuries. The Implantable Devices Group at the University of Auckland has been researching the potential of implantable devices to make a significant impact on people's lives. They have been working on developing a wireless heart pump that can be charged overnight and run all day without the need for cables and connections, potentially eliminating the issue of drive-line infections. Additionally, the group has been developing small, power-efficient, wireless data acquisition systems that can be implanted for long-term monitoring of physiological signals. These devices are now available through the Auckland-based company Kaha Sciences. A team of researchers in the Implantable Devices Group at the Auckland Bioengineering Institute (ABI) are developing an implantable medical pressure sensor to be placed in the brains of patients with hydrocephalus. Hydrocephalus is a condition where fluid accumulates in the brain, which can be fatal if left untreated. The current treatment is a thin tube or shunt surgically implanted in the brain that drains and diverts excess fluid from the brain, but the shunt often blocks, resulting in increased pressure around the brain and reduced blood supply to key areas. The device would be the first New Zealand-designed fully implanted electronic medical device and would offer early warning of a likely blockage, thus preventing unnecessary hospitalizations. The implantable sensor is part of an intracranial pressure (ICP) measurement system that also includes a handheld wand that is held near the head, which wakes up the device, and a pressure reading is sent back to the wand. The system enables a measurement of ICP to be read by the patient or their caregivers and shared with healthcare professionals electronically on the Cloud and through a mobile phone, through an app designed by the team. Ultimately, they will be seeking approval from the FDA, which recognizes three classes of medical devices. Class III medical devices, such as this implantable sensor, are those of substantial importance in preventing impairment of human health but also pose the highest risk to patients. Professor Simon Malpas leads the Inplantable Devices Group at the Auckland Bioengineering Institute. Photo: Claire Concannon/RNZ. https://www.auckland.ac.nz/ Professor Simon Malpas leads the Implantable Devices Group at the Auckland Bioengineering Institute. He is the CEO of Kitea Health. Kitea is a next generation medical device company headquartered in Auckland New Zealand. Founded from the Auckland Bioengineering Institute with substantial backing for its research platform from the Health Research Council, Ministry of Business Innovation and Employment and a variety of charitable bodies. The company is in the preclinical stage for its first clinical device for the management of hydrocephalus. Another area of research in New Zealand is in the development of brain-computer interfaces (BCIs). BCIs allow people to control computers and other devices using their thoughts, which has the potential to greatly improve the quality of life for people with severe physical disabilities. Researchers at the University of Otago and the Auckland University of Technology are working on developing BCIs that can be used to control prosthetic limbs and other assistive devices. New Zealand is playing a role in developing brain-machine interfaces (BMIs) that enable humans to control machines using their minds. Thought-Wired, a start-up with offices in Auckland and Melbourne, has developed the nousBlink system that interprets brain waves and muscle movements through a headband, allowing people who can't speak or move their limbs to control their home devices or access the internet via their computer. Dmitry Yu Selitskiy is the CEO and he ultimately wants to “let anyone control anything with their mind”. TransAxon is working with AI-BCIs linking physiological psychology and artificial intelligence to repair and improve brains. Michael Witbrock, Co-Founder and CEO, with the TransAxon team are developing full, "better than reality", function- and memory-enhancing Autogenous Induced Brain-Computer interfaces (AI-BCI) that don’t injure the brain and don’t require much more “surgery” than Lasik or a tattoo. We’ll do this by harnessing the natural neurogenesis processes that originally built our brains, re-applying it to grow a biological bridge that connects an adult brain safely to an interface outside the skull. And we’ll apply AI-level machine learning to achieve complete functional integration. On the path to the full product, we’ll lead with drug development platforms and then therapeutic implants, initially for vision and speech. Outset Ventures and Icehouse Ventures are supporting this initiative. Getting photons into and out of areas with a high degree of control underpins all aspects of optical approaches to BCIs. Staying aware of the capabilities and developments in this field will ensure TransAxon is ready to implement such systems, when and where we need to. The open question is if these systems could eventually work through skin, muscle and perhaps a skull. Still to find out. https://www.nature.com/articles/d41586-022-03395-z Researchers at the University of Otago are working on BMIs that could help treat mental illness, while the Auckland University of Technology is looking to overcome the challenge of complex brainwave translation by developing an artificial intelligence algorithm that mimics the human brain. Shenghuan Zhang and scientists at the University of Otago have developed machine learning models that use EEG (electroencephalography) data to predict depressivity, a measure of personality traits rather than just sickness. The team designed novel techniques to clean up the EEG data, and then used different combinations of signal processing techniques and machine learning algorithms to generate the models. They found that the models could accurately predict depressivity, particularly for women, and that the gamma band of EEG data made the biggest contribution to these predictions. The research opens up possibilities for using EEG data to measure personality traits and could be extended to other mental health conditions, such as anxiety. In this context they created a device that could, for example, give the person an alert to make them more aware of their mental state as a kind of mindfulness training. It’s a high-tech version of a technique called neuro-feedback, which trains people to regulate their own brains by showing them their brain activity. These neuro-feedback brain-machine interfaces could help people suffering from a host of mental health issues including ADHD, depression and anxiety. So far, the team has developed a proof-of-concept headset that reads brainwaves and a computer algorithm that can translate those brainwaves into making a drone fly. Instead of trying to analyze many different types of brainwaves, the Otago-based research team has focused on a single channel. The Associate Professor Zhiyi Huang said “we have external funding from a few Chinese companies who initially wanted video game controllers using EEG [electroencephalographic] technology, reading brainwaves and translating those into commands then sent to the game via Bluetooth”. One research team based at the Auckland University of Technology is tackling the artificial intelligence side of the challenge. To get around some of the difficulties in translating complex brainwaves into instructions for a machine, they’ve created a computer algorithm that mimics the human brain. The artificial intelligence, called NeuCube, maps the brain’s structures and functions and could be used to control devices in the same way our brains control our real limbs (https://github.com/Auckland-University-of-Technology/NeuCube-java). “We want to make this system more brain-like, so we can better interpret the signals this system has learned,” said team leader Nikola Kasabov. “We want a better understanding of what the brain is doing.” Brain-Like Artificial Intelligence (BLAI) is pioneered by Prof. Nikola Kasabov and here it is one of its realizations. The NeuCube on Chip is a software system for the creation of large spiking neuron models in real time that run on the SpiNNaker multi-core system developed by the University of Manchester group of Prof. Steve Furber. Each SpiNNaker chip has 18 ARM968 cores; they are connected via an asynchronous packet switcher for faster communication. The system runs in real-time, which means that an interactive application that could propagate and change the synaptic weights on the fly could be implemented, this would not only speed up the model training but could also control the flow of spikes and modifications in the weights. The SpiNNaker natively implements a simplified form of STDP learning rule between its connections this adds advantage over software implementation. NeuCube could take advantage of SpiNNaker machines unsupervised learning and speed up the learning process. Also, we could increase the number of neurons from thousands to millions. Neurotechnology in New Zealand is also being used to develop treatments for neurological and psychiatric disorders. For example, researchers at the University of Auckland are using deep brain stimulation (DBS) to treat Parkinson's disease and other movement disorders. DBS involves the use of implantable electrodes to deliver electrical stimulation to specific areas of the brain. In fact, one of the key players in neurotechnology research in New Zealand is the Centre for Brain Research (CBR) at the University of Auckland ). The CBR is a multidisciplinary research institute that focuses on understanding the brain and developing new treatments for neurological disorders. The CBR has a number of research programs focused on areas such as stroke, Alzheimer's disease, and epilepsy, and is home to a range of advanced neuroimaging technologies such as MRI, EEG, and PET. Another prominent research institute in New Zealand is the Neurological Foundation of New Zealand. The foundation is a non-profit organization that funds research into neurological disorders, and also provides education and support for people affected by these conditions. The foundation has a particular focus on conditions such as multiple sclerosis, Parkinson's disease, and Alzheimer's disease. In addition to research, there are also several companies in New Zealand that are working to commercialize neurotechnology. For example, Neurotech NZ is a New Zealand-based company that develops and commercializes neurotechnology products such as brain-computer interfaces and neurofeedback systems. Focused on developing neurotechnology products and therapies, there are companies like BrainZ, which develops advanced monitoring systems for neonatal intensive care units to help detect and prevent brain damage in newborns. Another company, AurorA BioMed, is focused on developing new therapies for conditions such as epilepsy and chronic pain. The state of neurotechnology in New Zealand is robust and growing, with a number of research institutes and companies dedicated to advancing the field. The country has a particular focus on understanding and treating neurological disorders, and has made significant progress in developing new therapies and technologies to help people affected by these conditions.

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