Functional Neurometry Equipment with Artificial Intelligence for Neurophysiological and Brain Diagnosis and Training

Description

1 / 9 Functional neurometry equipment with artificial intelligence for neurophysiological and brain diagnosis and training.

[001] In this document, the term functional neurometry refers to the method of quantitative functional analysis of cerebral and physiological electrical signals to identify and interpret, in real time, patterns associated with neurological and psychiatric conditions, providing an objective score or metric for clinical diagnosis.

[002] The present invention relates to a Functional Neurometry Equipment, a proprietary medical device with sensors, associated with standardized artificial intelligence (AI) software for application in the areas of health, sports, education and personal performance, with the objectives of analyzing and functionally training the nervous and cognitive systems.

[003] List of figures: Figure 1: Front view of the complete equipment. Figure 2: Functional muscle sensor Figure 3: Brain neurometry sensor Figure 4: Anxiety control sensor Figure 5: Heart rate variability sensor Figure 6: Physiological response sensor Figure 7: Functional respiratory sensor Figure 8: Power supply with electrical isolator Petition 870260053922, dated 03 / 06 / 2026, page 3 / 18 2 / 9

[004] The applications performed by the functional neurometry equipment are divided into examinations, analyses and brain training, which through individualized protocols by artificial intelligence software, independently performs the capture, execution, interpretation and assembles a complete Treatment Plan and guides the patient from beginning to end, complementing the diagnosis and therapy, increasing the professional's performance.

[005] The invention can be better understood through the following detailed description, in accordance with the attached figures, where FIGURES 1 to 8 represent a view of the complete functional neurometry equipment, which consists of a cabinet with a printed circuit board inside, containing 6 rectangular channels on the front (fig.1) for placing the sensors arranged in the following order (left to right): Channel 1 (fig.1 item A) for placing the Functional Muscle sensor (fig.2); Channel 2 (fig.1 item B) for placing the brain neurometry sensor (fig.3); Channel 3 (fig.1 item C) for placing the anxiety control sensor (fig.4); Channel 4 (fig.1 item D) for placing the heart rate variability sensor (fig.5); Channel 5 (fig.1 item E) for placing the physiological response sensor (fig.6); Channel 6 (Fig. 1 item F) for placement of the functional respiratory sensor (Fig. 7).

[006] The power supply for this equipment is provided by a cable (fig.8), which has two ends, with the end corresponding to fig.8 item A being connected to the part containing the electrical insulator and connecting to a personal computer, and fig.8 item B connecting to the equipment's USB input as shown in figure 1 item G.

[007] FIGURE 2 represents the Functional Muscle sensor, which is presented in the form of a cable with two ends, where the end referring to item A is related to the part that connects to channel 1 of the cabinet, and item B is the applied part that connects (non-invasively) to the patient's skin region to capture neurometric signals. Velcro is used to secure the applied part (represented by a circle).

[008] FIGURE 3 represents the Brain Neurometry sensor (electrodes on the head), which is presented in the form of a cable with two ends, where the end referring to item A is related to the part that connects to channel 2 of the cabinet, and item B to the part Petition 870260053922, dated 03 / 06 / 2026, page 4 / 18 A 3 / 9 probe is applied that connects (non-invasively) to the patient's head region to capture neurometric signals. A Velcro helmet is used to secure the applied part (represented by a circle).

[009] FIGURE 4 represents the Anxiety Control sensor, which is presented in the form of a cable with two ends, where the end referring to item A is related to the part that connects to channel 3 of the cabinet, and item B is the applied part (Y-shaped) that connects (non-invasively) to the patient's index and middle fingers to capture neurometric signals. Velcro is used to secure the applied part (represented by a circle).

[010] FIGURE 5 represents the Heart Rate Variability sensor, which is presented in the form of a cable with two ends, where the end referring to item A is related to the part that connects to channel 4 of the cabinet, and item B is the applied part that connects (non-invasively) to the patient's thumb to capture neurometric signals. Velcro is used to secure the applied part (represented by a circle).

[011] FIGURE 6 represents the Physiological Response sensor, which is presented in the form of a cable with two ends, with end A relating to the part that connects to channel 5 of the cabinet, and end B relating to the applied part that connects (non-invasively) to the patient's ring finger to capture neurometric signals. Velcro is used to secure the applied part (represented by a circle).

[012] FIGURE 7 represents the Functional Respiratory sensor, which is presented in the form of a cable with two ends, where the end referring to item A is related to the part that connects to channel 6 of the cabinet, and item B is the applied part that connects (non-invasively) to the patient's nasal region to capture neurometric signals. Velcro is used to secure the applied part (represented by a circle).

[013] The system is simple to operate and begins after the software is installed on a personal computer. The user then connects the functional neurometry equipment to Petition 870260053922, dated 03 / 06 / 2026, page 5 / 18 4 / 9 computer via cable (figure 8), which automatically recognizes the equipment. The sensors are connected to the person's body, as mentioned in paragraphs 7 to 12. After everything is connected, the professional will start the software through an icon / shortcut located on the desktop, which was pinned after completing the software installation process.

[014] It is important to highlight the use of artificial intelligence software that manages the functional neurometry equipment represented by FIGURES 1 TO 8. The functional neurometry equipment performs an examination called DLO. This name, in acronym form, was given based on the sequence of positions the person makes during the examination, following standardized guidelines provided by the equipment itself, where the acronym stands for: (D) dorsal decubitus, (L) stand, and (O) orthostatic. This is the sequence of positioning maneuvers the person performs during the examination.

[015] Another use of the AI ​​software that manages the functional neurometry equipment represented by FIGURES 1 TO 8 relates to the Anxiety Control protocol. The equipment uses a standardized configuration by the AI ​​software in three stages so that the person can control their anxiety. Thus, the more the person trains to control their thoughts and relax their body, the more positive the neurophysiological reactions of the body will be, which are captured by the sensors and, consequently, the greater the percentage of anxiety control, which is represented graphically and numerically on a scale of 0% to 100%. At the end, the results screen opens with the report, presented in numerical, graphical and written form, specifically of the training performed. The software also generates a personalized audio file of the training performed, through a recording throughout the protocol.In this way, the person can take this recording home and listen to the training again to stimulate the brain and, with that, follow the entire sequence trained by the professional.

[016] Another use of AI software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to the Cardiac Coherence protocol. The equipment uses a standardized configuration by the software in three steps so that the person can control their anxiety, breathing, and heart rate. Thus, the more they train to control the Petition 870260053922, dated 03 / 06 / 2026, page 6 / 18 5 / 9 Focus your thoughts, breathing, and relax your body; the more positive the neurophysiological reactions of your body captured by the sensors, the higher the percentage of cardiac coherence, represented numerically on a scale of 0% to 100%. At the end of the protocol, the results screen opens with the final report, presented numerically, graphically, and in writing, specifically for the training performed. The software generates a personalized neural resonance audio file of the training performed, through a recording throughout the protocol. This way, the person can take this recording home and listen to the training again to stimulate the brain and thus follow the entire sequence trained by the professional.

[017] Another use of the AI ​​software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to the Computerized Progressive Muscle Relaxation protocol. The equipment uses a standardized configuration by the software in five steps so that the person can control and improve their muscle activity. Thus, the more they train the muscle, the greater their capacity and quality of muscle contraction and relaxation will be. Muscle activities are captured by the sensor called Functional Muscle, which presents a percentage of variation in muscle activity on a numerical scale from 0% to 100%. At the end of the protocol, the results screen opens with the final report, presented numerically and graphically, specifically of the training performed. The software also generates a personalized audio file of the training performed, through a recording throughout the protocol.In this way, the person can take this recording home and listen to the training again to stimulate the brain and, with that, follow the entire sequence trained by the professional.

[018] Another use of AI software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to the Physiological Response protocol. The equipment uses a standardized configuration by the software in three steps so that the person can control their peripheral temperature. Thus, the more they train their emotions and mood, the more positive the neurophysiological reactions of their body will be, which are captured by the sensors and, consequently, the higher the value of the physiological response, which is represented numerically in degrees. Petition 870260053922, dated 03 / 06 / 2026, page 7 / 18 6 / 9 Celsius (°C). At the end of the protocol, the results screen opens with the final report, presented numerically, graphically, and in writing, specifically for the training performed. The software also generates a personalized audio file of the training performed, through a recording throughout the protocol. This way, the person can take this recording home and listen to the training again to stimulate the brain and thus follow the entire sequence trained by the professional.

[019] Another use of the AI ​​software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to the Heart Rate Variability protocol. The equipment uses a standardized configuration by the software in three steps so that the person can control their heart rate. Thus, the more they train their breathing and body movements, the more positive the neurophysiological reactions of their body will be, which are captured by the sensors and, consequently, the greater the percentage of heart rate variability, which is represented numerically on a scale of 0% to 100%. At the end of the protocol, the results screen opens with the final report, presented in numerical, graphical and written form, specifically of the training performed.

[020] Another use of the AI ​​software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to the Emotional Variability protocol. The equipment uses a standardized configuration by the software in three stages so that the person can control their behavioral variation. Thus, the more they train mental imagery, mathematical calculations, or any cognitive stressor, the more positive the neurophysiological reactions of their body will be, which are captured by the sensors and, consequently, the greater the percentage of emotional variability that is represented numerically on a scale of 0% to 100%. At the end of the protocol, the results screen opens with the final report, presented numerically, graphically, and in writing, specifically for the training performed. The software also generates a personalized audio file of the training performed, through a recording throughout the protocol. This way, the person can take this recording home and listen to the training again to stimulate the brain and thus follow the entire sequence trained by the professional. Petition 870260053922, dated 03 / 06 / 2026, page 8 / 18 7 / 9

[021] Another use of the AI ​​software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to the Inductive Sleep Physiology protocol. The equipment uses a standardized configuration by the software in three steps so that the person can control an ideal number of heartbeats within a respiratory cycle to achieve the ideal physiological sleep indices. Thus, the more they train, the more positive the neurophysiological reactions of their body will be, which are captured by the sensors and, consequently, the greater the physiological performance for sleep, which is represented graphically and numerically on a scale of 0% to 100%. At the end of the protocol, the results screen opens with the final report, presented numerically, graphically and in writing, specifically of the training performed.The software also generates a personalized audio file of the training session, recording the entire protocol. This allows the person to take the recording home and listen to the training again to stimulate the brain and thus follow the entire sequence trained by the professional.

[022] Another use of the AI ​​software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to the Respiratory Amplitude and Frequency protocol. The equipment uses a standardized configuration by the software in three steps so that the person can control their breathing. Thus, the more they train their breathing linearly, the more positive the neurophysiological reactions of their body will be, which are captured by the sensors and, consequently, the greater the percentage of respiratory amplitude and frequency that is represented graphically and numerically on a scale of 0% to 100%. At the end of the protocol, the results screen opens with the final report, presented numerically, graphically and in writing, specifically of the training performed.

[023] Another use of the AI ​​software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to the Respiratory Functional Capacity protocol. The equipment uses a standardized configuration by the software in three steps so that the person can control their breathing. Petition 870260053922, dated 03 / 06 / 2026, page 9 / 18 8 / 9 Therefore, the more she practices deep breathing, filling her lungs as much as possible, the more positive the neurophysiological reactions of her body will be, as detected by the sensors, and consequently, the higher the percentage of... Respiratory Functional Capacity is represented graphically and numerically on a scale of 0% to 100%. At the end of the protocol, the results screen opens with the final report, presented numerically, graphically, and in writing, specifically for the training performed.

[024] Another use of AI software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, refers to the applied examination called POC. This name, in acronym form, was given due to the brain stimulation generated through sequential questions that are answered by the person during the examination, where it is possible to see the brain waves, in real time, on the computer screen. The person follows the standardized instructions provided by the software itself. The acronym stands for: (P)predominance of (O) waves of the (C) brain. In the results of the POC Examination, we have the final report, represented numerically, graphically and in writing, specifically of the examination performed.

[025] Another use of AI software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to training using computer games. In this training, the patient plays various games, where their neurophysiological and brain functions control the games through sensors connected to the functional neurometry equipment. The person follows the equipment settings, standardized by the software itself. In the Examination results, we have the final report, represented numerically, graphically and in writing, specifically of the examination performed.

[026] Another use of the AI ​​software that also manages the functional neurometry equipment represented by FIGURES 1 TO 8, relates to two protocols called Brain Wave Generator (BWG) and Brain Wave Inductor (BWI). The functional neurometry equipment aims to stimulate the brain through neural resonance to balance brain waves. The software also generates a personalized audio file of the training performed, Petition 870260053922, dated 03 / 06 / 2026, p. 10 / 18 9 / 9 through a recording throughout the practice. This way, the person can take the recording home and listen to the training again to stimulate the brain and, therefore, follow the entire sequence trained by the professional.

[027] Functional Neurometry Equipment is the combined use of all items comprising the complete equipment, managed by Artificial Intelligence and specific procedures, designed exclusively, and which can be used by clinics, gyms, health institutions, companies, schools, as well as by professionals in health, education, sports, marketing and personal performance.

[028] Because it meets all the requirements that define an invention patent, since it combines elements, giving them an innovative aspect and making them capable of industrialization, and modifications may be made without departing from the spirit and scope of this patent, the following are the claims. Petition 870260053922, dated 03 / 06 / 2026, page 11 / 18

Claims

1 / 3 Claims 1. Functional neurometry equipment for analyzing specific brain and neurophysiological patterns, which, through monitoring and automatic adjustment of functional parameters, aims at brain treatment and training for the improvement of mental and physical health, characterized by comprising: (a) six sensors (figures 2 to 7) presented in the descriptive report in items [007] to [012], configured to detect different areas of the brain and neurophysiology, to capture responses to stimuli during specific tasks applied by artificial intelligence to the patient, transmitting the data in real time; (b) a central processing unit equipped with an artificial intelligence (AI) module, which performs real-time analysis of the captured electrical signals, applies machine learning algorithms trained with functional neurometry data and compares these signals with normative brain patterns stored in a database;(c) a treatment adjustment module programmed to assess neurophysiological and cerebral compatibility parameters, generate reports and analyses for diagnostic purposes, automatically create a complete treatment plan, and generate a functional neurometric index for each patient; (d) a prediction module configured to provide early and preventive risk assessment for neurological, physical, and behavioral diseases; (e) a system that sends automatic alerts to the healthcare professional in case of significant deviations in the neurometric index; (f) an interactive user interface that presents the functional neurometric indices and provides a history of variation, allowing for longitudinal patient monitoring.

2. Functional neurometry equipment according to claim 1, characterized by the artificial intelligence being trained with machine learning data that allows the prediction of possible medical complications based on variations in neurophysiological signals, nerve pathways, cognitive functions, and medical history records.

3. Functional neurometry equipment according to claim 1, characterized by AI software creating personalized therapeutic training based on: (a) frequency for neural resonance, where the neurometry equipment analyzes the patient's nerve stimuli so that the AI ​​generates a sound file with the same frequency, enabling extra-clinical brain stimulation with the use of headphones; Petition 870260053922, dated 03 / 06 / 2026, page 12 / 18 2 / 3 (b) individualized breathing exercises, where the AI ​​determines the ideal time of the respiratory cycle based on heartbeats, generating guided sound files for use outside the clinic; (c) functional muscle training, where the AI ​​calculates the ideal time of contraction and relaxation and generates sound instructions for correct execution by the patient.

4. Functional neurometry equipment according to claim 1, characterized in that the artificial intelligence algorithm is trained with a database of previously diagnosed brain and neurophysiological signals, allowing the detection of patterns associated with early stages of emotional disorders.

5. Functional neurometry equipment according to claim 1, characterized in that the user interface is configured to generate customized reports with recommendations for preventive interventions based on risk analysis results.

6. Functional neurometry equipment according to claim 1, characterized in that the user interface includes a feature for comparing the patient's current functional neurometry score with averages of control groups with established diagnoses, providing a correlation index for clinical evaluation.

7. Functional neurometry equipment according to claim 1, characterized in that the artificial intelligence module is trained with quantitative brain and neurophysiological signal data from different age ranges and clinical groups, allowing the neurometric index to be adjusted based on the patient's specific profile.

8. Functional neurometry equipment according to claim 1, characterized by including a continuous learning module that adapts the functional neurometric index based on changes detected in the patient's history, improving diagnostic accuracy over time.

9. Functional neurometry equipment according to claim 1, characterized by the anxiety control sensor being configured to measure the functional variability of sweating, neuroemotional reaction, and neuroemotional response of the nervous system, allowing a detailed analysis of the patient's nutritional deficiency and anxiety state. Petition 870260053922, dated 03 / 06 / 2026, page 13 / 18 3 / 3 10. Functional neurometry equipment according to claim 1, characterized by the physiological response sensor being configured to measure the functional variability of skin temperature, sympathetic vascular tone, and neurometric thermoregulation, allowing a detailed analysis of the patient's feeding reactions and metabolism.

11. Functional neurometry equipment according to claim 1, characterized by the functional respiratory sensor being configured to measure the variation in respiratory functional capacity and the frequency and amplitude of respiration, allowing a detailed analysis of the patient's breathing.

12. Functional neurometry equipment according to claim 1, characterized by the functional muscle sensor being configured to measure the variation in the speed and frequency of muscle contraction and relaxation, allowing a detailed analysis of progressive muscle relaxation.

13. Functional neurometry equipment according to claim 1, characterized by the functional heart rate variability sensor being configured to measure the variation in functional oxygen, sympathetic and parasympathetic activity, allowing a detailed analysis of neurovegetative dystonia, cardiofunctional alterations and sleep disorders.

14. Functional neurometry equipment according to claim 1, characterized by the brain neurometry sensor being configured to measure the neural resonance of cerebral cortex activity, allowing a detailed analysis of cognitive disorders, mental fatigue, and functional activities of different brain regions, including the limbic system. Petition 870260053922, dated 03 / 06 / 2026, pp. 14 / 18

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