Electroencephalography (EEG)

Main article: Human brain

Electroencephalogram on the open brain

Electroencephalogram (EEG) on the open brain, search for the area of ​ ​ epileptic seizures.

Electrodes are numbered to specify the location of pathological electrical pulses.

2025

Sechenov University has developed a neural network for detecting Parkinson's disease according to an EEG study

Young scientists at the Center for Digital Medicine at Sechenov University have developed a neural network for verifying the characteristics of the electrical activity of the brains of patients with Parkinson's disease. The model recognizes frequency anomalies characteristic of this pathology according to the results of electroencephalography, and its accuracy as early as August 2025 reaches 97 percent. In the future, on its basis, it is planned to create a digital service for the early diagnosis of Parkinson's disease according to the EEG. With its help, doctors will be able to quickly and accurately make a preliminary diagnosis and prescribe studies to confirm it. The university announced this on August 28, 2025. Read more here.

An electronic sticker worn on the face is presented, which monitors the work of the brain and detects overwork

In May 2025, the United States introduced a set of flexible wireless sensors to track the level of mental tension that can be applied to the human scalp in the form of an electronic "tattoo." The development will help track changes in the concentration of air traffic controllers, drivers and other employees with a high level of responsibility. Read more here.

2024: Global Wireless Brain Sensor Market Size Reaches $389.1 Million

In 2024, costs in the global wireless brain sensor market reached $389.1 million. More than half of this amount fell on the North American region. Such data are provided in a Fortune Business Insights study, the results of which were published on November 7, 2025.

Wireless brain sensors are special sensors that record the bioelectric activity of the brain. The collected data is then transmitted to a computer or other device via wireless communication, such as Bluetooth. Such sensors are used to track brain activity in mental disorders. They help in the diagnosis of various neurological diseases, including Parkinson's and Alzheimer's disease. Sensors are used in the field of neuroscience to study brain functions, neural circuits, human cognitive abilities and neural dynamics. In rehabilitation, wireless sensors help with stroke recovery, allowing progress to be tracked. Such products can be used as part of neurointerfaces to control prostheses or exoskeletons, as well as electronic devices.

One of the market drivers is the increasing prevalence of neurological diseases. Wireless brain sensors are convenient to use and do not restrict patient movement, which is especially important for rehabilitation procedures and long-term monitoring in everyday settings. Sensors of this type provide the possibility of long-term outpatient tracking of brain activity. Many modern sensors do not require surgery.

Technological advances, including the introduction of artificial intelligence and cloud platforms, have a significant impact on the industry. AI-based analytics provide the ability to automatically interpret measures of brain activity, contributing to early diagnosis of neurological diseases and more effective clinical decision-making. At the same time, cloud-based monitoring allows healthcare facilities to remotely access and monitor patient data in real time, enabling continuous assessment of the neurological condition. In addition, developers are constantly improving the characteristics of sensors: reducing their size, improving the accuracy of readings and increasing battery life contribute to expanding the scope of use.

The market is segmented into sensors, electroencephalography (EEG) electrocorticography (ECoG), intracranial pressure (IPA) wearable fNIR sensors (near infrared functional spectroscopy), etc. In 2024, the lion's share of revenue was provided by products of the first type - 51.5%. From the point of view of application, the direction of neurological diseases is leading. Depending on the wireless data transmission technology, radio frequency (RF) sensors, Bluetooth sensors/BLE, sensors with support/, etc. are distinguished NFCRFID. The most common RF products. Geographically, it leads North America with a share of 56.8%, or $221.1 million. Globally, significant industry players are named:

• Zeto;
• Epitel;
• Ceribell;
• NextSense;
• Emotiv;
• Kernel;
• Neurosity;
• Blackrock Neurotech;
• Neuralink;
• NeuroPace.

In 2025, the wireless brain sensor market size is expected to reach $451.1 million. Fortune Business Insights analysts believe that in the future, the CAGR will be 16.2%. Thus, by 2032, costs may increase to $1.29 billion.^[1]

2022: Polytech students create domestic medical device for EEG

St. Petersburg Polytechnic University announced on July 6, 2022 the creation by students of a domestic medical device that will change the way electroencephalography is used to all patients. During this procedure, the doctor applies a special gel to the scalp, and the electrodes are attached to the cap. The development of students is based on gel-free electrodes, and they will be attached to a helmet with movable elements. This will make the accuracy of the study higher, and the procedure itself is more comfortable for both the patient and the health worker. Read more here.

2021: Use of EEG in crime investigations

At the end of January 2021, it became known about the use by the Dubai police of the method of identifying a criminal among suspects in the electrical activity of his brain. Memory print technology was used in the investigation of a murder committed at a warehouse in Dubai, where several people work.

The essence of the new technique is to demonstrate to the suspects images, some of which are related to the crime (photographs from the scene of the murder. murder weapon), and others have nothing to do with the incident.

Dubai police begin to solve crimes of electrical activity of the criminal's brain

During this process, sensors recording an electroencephalogram (EEG) are worn on the suspects. If a suspect sees a crime-related image and the electrical activity of his brain changes in a certain way, experts believe that, most likely, this person is somehow connected with the crime himself.

During the investigation of the murder in the warehouse, the use of memory fingerprint technology was successful. During further interrogation, the suspect, impressed by the unusual technology, confessed to the murder.

Police Lt. Col. Muhamad Issa Al-Hammadi explained that when the subjects were shown crime scene photos, one of the men's brains showed intense electrical activity when he was shown the instrument used in the crime. At the heart of the "memory fingerprint" technology is the registration of the so-called R300 wave, which is caused by cognitive activity, when a person makes a decision, evaluates something or categorizes objects. It took neurophysiologists a year to achieve the correct results in the R300 analysis.

We get accurate analytical data about whether a person was present at the crime scene and whether they are aware of the tool used. By the frequency of the waves, you can even identify the victim, said Muhamad Issa Al-Hammadi.[2]

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