WIRELESS EEG

Wireless Electroencephalography

Electroencephalography (EEG) is a diagnostic method that amplifies and records the spontaneous rhythmic bioelectric activity of the brain using instruments to understand the brain's functional state. It provides a visual representation of the distribution of brain waves. Currently, EEG examinations are used to assist in diagnosing physical or psychological illnesses in patients, such as brain, spinal cord, or neurological diseases. They also aid in diagnosing sleep disorders, determining the occurrence and type of seizures, identifying issues related to loss of consciousness or dementia, assessing whether brain death has occurred in comatose patients, and monitoring brain activity during general anesthesia procedures.

Currently, EEG are mainly conducted for epilepsy patients, and they are mostly carried out in large hospitals and specialized clinics. For epilepsy patients or suspected cases in rural areas, there is a need to travel long distances to personally reach a large hospital equipped with EEG instruments. They are then required to wear EEG equipment that restricts their movement for several days of inpatient examination. During this period, epilepsy patients often need to discontinue medication, and some individuals may feel overwhelmed by the entire process. Without recording any seizures or receiving a specific diagnosis of epilepsy, some patients may leave prematurely, a situation that is quite common. Additionally, many individuals may not experience any epileptic activity during their hospital stay, which can be attributed to various factors such as the so-called 'white coat' effect and the rarity of events occurring within a limited time frame.

Therefore, if an individual's EEG is recorded in their normal daily environment, such as at home, it can provide better documentation of epileptic seizures, aiding clinical doctors in making more informed clinical decisions. We are aware that various electrocardiogram (ECG) systems are now available on the market, allowing more and more patients to record their own cardiac activity in their daily lives. So, can we also record EEG in a manner similar to recording ECG?

The answer is affirmative. The earliest appearance of a home-based mobile EEG system is shown in the figure, but it has several major drawbacks: first, the EEG electrodes must be positioned and attached to the patient's scalp by a professional EEG technician; second, the long wires can introduce blurred motion artifacts into the EEG recording, especially during seizures and other movements; third, the entire cumbersome system restricts patients from engaging in many normal daily activities. Therefore, a wireless, easy-to-use, and wearable EEG system has the potential to make home EEG recordings more widespread, providing EEG without the wire-related artifacts that may obscure epileptic activity.

In response to this demand, Ningbo Magnetic Wave Company has independently researched and developed a wireless EEG device. It employs network technology with modules for data transmission between the collector and the main unit. The device features low measurement artifacts, good safety, simultaneous multi-person detection, and multi-person analysis. It comes with professional remote monitoring capabilities, sleep detection functions, and the ability to generate detailed EEG reports and sleep analysis reports. Additionally, it is equipped with a self-developed data collection and analysis software system, making EEG recording very straightforward.

  • Simple construction and connection, comfortable, space-independent
  • Direct network connection, live remote viewing, direct transfer to health care provider
  • Customized research modules for auditory, visual, language, memory, etc. suitable for high impedance (-50kΩ or higher)
  • Combination with independently developed intelligent signal processing software and data visualization tools, simpler and smarter data analysis and post-processing
  • More functions compared to similar products, such as whole brain network analysis, high-frequency EEG analysis, etc.
  • Correlation of well-established functional brain research paradigms such as motor audit function to language function
  • Integrated ability with other neuroimaging data, advanced electric source imaging technology such as three-dimensional volume display
  • No. of Channels: 16/32
  • Communication Ｍode: WiFi
  • Resolution of ADC
  • Sampling Rate: 250/500/1000
  • Gain: 1，2，4，6，8，12，24
  • Common Mode Suppression Ratio: 100dB
  • Signal-to-Noise Ratio: 121 dB（VIN = –2 dBFs, fIN = 10-Hz input, gain=12）
  • Transfer Delay: <500ms（typ）
  • Input Impedance: >50M
  • Background Noise: <2uVpp@250sps, Gain=24