Wearable cap type electroencephalogram monitoring intelligent device

Abstract

The invention discloses a wearable cap type electroencephalogram monitoring intelligent device, which comprises a cap body, an acquisition module and a processing module, and is characterized in that the acquisition module is arranged in the cap body, and the acquisition module is electrically connected with the processing module; the collection module collects electroencephalogram signals of different regions of the brain of a user and transmits the collected signals to the processing module in real time for processing and analysis. The helmet has the advantages that the elastic fiber fabric helmet body structure is adopted, the comfort of long-time wearing can be improved, the helmet can be attached to the head of a user, the electrodes in the helmet body are tightly attached to the head of the user, and weak electroencephalogram signals are collected; by means of the built-in electrodes and the piezoelectric pulse wave sensor, synchronous collection of multi-area electroencephalogram signals and auxiliary monitoring of pulse waves are achieved, and comprehensiveness and accuracy of signal collection are improved.

Description

Technical Field

[0001] This invention belongs to the technical field of medical devices, specifically relating to a wearable cap-style intelligent device for monitoring electroencephalograms (EEGs). Background Technology

[0002] Electroencephalography (EEG) monitoring is indispensable in medical diagnosis, scientific research, and health management. By capturing brain signals, it analyzes brain function and provides crucial information for disease diagnosis and physiological research. However, traditional EEG devices have significant limitations: large-scale equipment relies on specialized facilities and personnel, limiting its application scenarios; wearable devices, on the other hand, suffer from shortcomings in comfort, signal quality, and data processing. For example, large-scale EEG machines require complex electrode adjustments in hospitals, while most wearable devices are prone to noise signals due to poor electrode contact and lack efficient data processing and stable transmission capabilities, making it difficult to meet the needs of real-time monitoring and telemedicine.

[0003] Therefore, we designed a comfortable, portable, accurate signal-generating, and intelligently processed cap-type EEG monitoring device to solve the above problems. Summary of the Invention

[0004] Purpose of the invention: To provide a wearable cap-style intelligent device for monitoring electroencephalograms (EEGs) to solve the aforementioned problems existing in the prior art.

[0005] Technical solution: A wearable cap-type intelligent device for EEG monitoring, comprising a cap body, a data acquisition module, and a processing module, wherein the data acquisition module is installed inside the cap body, and the data acquisition module is electrically connected to the processing module; The acquisition module collects electroencephalogram (EEG) signals from different regions of the user's brain and transmits the collected signals to the processing module in real time for processing and analysis.

[0006] Preferably, the acquisition module includes multiple electrodes and a piezoelectric pulse wave sensor disposed inside the cap body.

[0007] Preferably, the processing module includes a processing unit electrically connected to the electrodes, and a communication unit and a power supply unit electrically connected to the processing unit.

[0008] Preferably, the processing unit includes a preamplifier circuit, a filter circuit, an analog-to-digital converter circuit, and a central controller; the preamplifier circuit performs preliminary amplification on the acquired signal; the filter circuit removes noise and interference from the amplified signal; the analog-to-digital converter circuit converts the acquired analog signal into a digital signal; and the central controller further processes the digital signal to extract feature parameters.

[0009] Preferably, the central controller communicates with the backend system through a communication unit; and uploads the processed EEG signal data to the backend system in real time.

[0010] Preferably, the hat body is made of elastic fiber fabric and is designed to fit the user's head.

[0011] Preferably, the electrode is disposed inside the cap body via a connecting strap.

[0012] Preferably, the central controller is also connected to an alarm unit, which is located on the outside of the cap. When abnormal fluctuations in the EEG signal are detected, the alarm unit will promptly issue an alarm to alert the user or relevant monitoring personnel.

[0013] The beneficial effects of this invention are as follows: The use of an elastic fiber fabric cap structure can improve the comfort of wearing for a long time and fit the user's head, so that the electrodes inside the cap fit closely to the user's head to collect weak EEG signals; By incorporating multiple electrodes and a piezoelectric pulse wave sensor, it can realize the synchronous acquisition of EEG signals from multiple regions and the auxiliary monitoring of pulse waves, thereby improving the comprehensiveness and accuracy of signal acquisition. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the structure of the present invention; Figure 2 This is a schematic diagram of the front structure of the present invention; Figure 3 This is a control principle diagram of the present invention.

[0015] The figures are labeled as follows: 1. Cap body; 2. Acquisition module; 3. Processing module; 4. Alarm unit; 21. Electrode; 22. Piezoelectric pulse wave sensor; 211. Connecting strip. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Specific Implementation Example 1: As attached Figure 1-3 As shown, in this embodiment, the wearable cap-type EEG monitoring smart device includes a cap body 1, a data acquisition module 2, and a processing module 3. The data acquisition module 2 is disposed inside the cap body 1, and the data acquisition module 2 is electrically connected to the processing module 3. The cap body 1 is made of elastic fiber fabric, which makes the cap body 1 breathable and elastic, adaptable to different users' head shapes, ensures comfort during long-term wear, and can effectively fit the user's head, so that the electrodes 21 and piezoelectric pulse wave sensor 22 inside the cap body 1 are in close contact with the user's scalp, thereby stably collecting weak brain signals.

[0018] The acquisition module 2 acquires electroencephalogram (EEG) signals from different regions of the user's brain and transmits the acquired signals to the processing module 3 in real time for processing and analysis.

[0019] Acquisition module 2 is used to collect electroencephalogram (EEG) signals from different regions of the user's brain and the user's pulse wave signals, providing physiological state references for EEG signal analysis and further improving the reliability of monitoring data. Processing module 3 is used to receive, process, and analyze the EEG and pulse wave signals transmitted from acquisition module 2. The processed information is then transmitted wirelessly to external devices such as the user's mobile phone, tablet, or cloud server, facilitating direct viewing of the user's EEG and pulse wave signals. Specific Implementation Example 2: As attached Figure 1-3 As shown, in this embodiment, the acquisition module 2 includes multiple electrodes 21 and a piezoelectric pulse wave sensor 22 disposed inside the cap body 1.

[0021] Multiple electrodes 21 are provided and fit the user's head to collect electroencephalogram (EEG) signals from different areas of the user's brain. A piezoelectric pulse wave sensor 22 is integrated into the forehead area of ​​the cap 1 and collects radial artery pulse wave signals in a non-invasive manner, which are then transmitted synchronously with the EEG signals to the processing module 3 for processing. The processing module 3 includes a processing unit electrically connected to the electrode 21, and a communication unit and a power supply unit electrically connected to the processing unit.

[0022] The processing unit includes a preamplifier circuit, a filter circuit, an analog-to-digital converter circuit, and a central controller. The preamplifier circuit amplifies the acquired signal initially. The filter circuit removes noise and interference from the amplified signal. The analog-to-digital converter circuit converts the acquired analog signal into a digital signal. The central controller further processes the digital signal to extract feature parameters.

[0023] The preamplifier circuit employs a low-noise, high-input-impedance operational amplifier, minimizing the introduction of additional noise during initial amplification and preserving the original characteristics of the EEG signal to the greatest extent possible. The filtering circuit utilizes bandpass filtering technology, precisely setting the filtering frequency range to allow only specific frequency bands of EEG signals to pass through, effectively removing common noise and interference signals such as power line interference and electromyography (EMG) interference, thus improving signal purity. The analog-to-digital converter (ADC) circuit uses a high-resolution, high-sampling-rate ADC to accurately convert analog EEG signals into digital signals, providing a precise data foundation for subsequent digital signal processing. The central controller uses advanced algorithms to extract characteristic parameters from the EEG signal, such as frequency, amplitude, and phase, providing crucial information for subsequent EEG analysis.

[0024] The central controller communicates with the back-end system through a communication unit; and uploads the processed EEG signal data to the back-end system in real time.

[0025] The central controller communicates with the backend system via a communication unit that employs wireless communication technologies such as Bluetooth and Wi-Fi to ensure stable and real-time data transmission. The processed EEG signal data is uploaded to the backend system in real time. The backend system possesses powerful data storage and analysis capabilities, enabling long-term storage and in-depth analysis of large amounts of EEG data. The data is then displayed in real-time on external devices such as users' mobile phones, tablets, and cloud servers, facilitating intuitive viewing of the user's condition. Specific Implementation Example 3: As attached Figure 1-3 As shown, in this embodiment, the material of the cap body 1 is elastic fiber fabric, and the cap body 1 is used to fit the user's head.

[0027] The material of the cap body 1 is elastic fiber fabric. Elastic fiber fabric has good breathability, which can keep the user's head dry and comfortable during long-term wear, reduce discomfort caused by stuffiness, and can also adapt to the differences in head shape of different users. Whether the user has a large or small head circumference, it can ensure that the cap body 1 fits the head tightly, so that the electrodes 21 and piezoelectric pulse wave sensors 22 inside the cap body 1 maintain stable contact with the user's scalp.

[0028] The electrode 21 is disposed inside the cap body 1 via a connecting strap 211.

[0029] The electrode 21 is securely mounted inside the cap body 1 via a connecting strap 211. The connecting strap 211 is made of a soft and elastic material, which can fix the position of the electrode 21 inside the cap body 1 and prevent it from shifting due to the user's head movements. It can also adapt to the bending and deformation of different users' heads, ensuring good contact between the electrode 21 and the user's scalp. Specific Implementation Example 4: As attached Figure 1-3 As shown in this embodiment, the central controller is also connected to an alarm unit 4, which is located on the outside of the cap 1. When abnormal fluctuations in the EEG signal are detected, the alarm unit 4 will issue an alarm message in a timely manner to remind the user or relevant guardians.

[0031] After receiving signals from the electrodes and piezoelectric pulse wave sensors, the central controller first preprocesses the signals to remove noise interference and extract valid EEG characteristic parameters. It then uses a built-in algorithm to analyze these parameters to determine if any abnormal fluctuations are present. If an abnormality is detected, the central controller immediately triggers the alarm unit, emitting a clear and loud alarm sound. Simultaneously, it can also send the abnormal information to a user-preset mobile phone or other terminal device via a wireless communication module, allowing the user or caregiver to be promptly informed and take appropriate action.

[0032] Working principle explanation: During use, the user wears the device on their head, ensuring a tight fit. Multiple electrodes inside the cap make good contact with the user's scalp, accurately collecting electroencephalogram (EEG) signals from different areas of the brain. Simultaneously, a piezoelectric pulse wave sensor collects radial artery pulse wave signals. The collected EEG and pulse wave signals are transmitted to the processing module in real time. In the processing module, a preamplifier circuit first amplifies the weak EEG signals to increase signal strength. A filter circuit then removes various noises and interferences from the amplified signal, such as power frequency interference and electromyographic interference, ensuring signal purity. Next, an analog-to-digital converter converts the analog signal into a digital signal for subsequent digital processing. The central controller uses advanced algorithms to further process the digital signal, extracting characteristic parameters of the EEG signal, such as frequency, amplitude, and phase. After processing, the central controller communicates with the backend system via a communication unit, uploading the processed EEG and pulse wave signal data to the backend system in real time. The analysis results are also displayed in real time on external devices such as the user's mobile phone, tablet, and cloud server, allowing the user to easily view their own status.

[0033] The preferred embodiments have been shown and described, but should not be construed as limiting the invention itself. Various changes in form and detail may be made without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A wearable cap-style intelligent device for EEG monitoring, characterized in that: It includes a cap body (1), a data acquisition module (2) and a processing module (3). The data acquisition module (2) is installed inside the cap body (1), and the data acquisition module (2) is electrically connected to the processing module (3). The acquisition module (2) acquires EEG signals from different regions of the user's brain and transmits the acquired signals to the processing module (3) in real time for processing and analysis.

2. The wearable cap-type intelligent device for EEG monitoring according to claim 1, characterized in that: The acquisition module (2) includes multiple electrodes (21) and a piezoelectric pulse wave sensor (22) disposed inside the cap (1).

3. The wearable cap-type intelligent device for EEG monitoring according to claim 2, characterized in that: The processing module (3) includes a processing unit electrically connected to the electrode (21), and a communication unit and a power supply unit electrically connected to the processing unit.

4. The wearable cap-type intelligent device for EEG monitoring according to claim 3, characterized in that: The processing unit includes a preamplifier circuit, a filter circuit, an analog-to-digital converter circuit, and a central controller; the preamplifier circuit performs preliminary amplification on the acquired signal; the filter circuit removes noise and interference from the amplified signal; The analog-to-digital converter circuit converts the acquired analog signal into a digital signal; the central controller further processes the digital signal to extract feature parameters.

5. The wearable cap-type intelligent device for EEG monitoring according to claim 4, characterized in that: The central controller communicates with the back-end system through a communication unit; and uploads the processed EEG signal data to the back-end system in real time.

6. The intelligent device for wearable cap-style EEG monitoring according to claim 5, characterized in that: The material of the cap body (1) is elastic fiber fabric, and the cap body (1) is used to fit the user's head.

7. The intelligent device for wearable cap-style EEG monitoring according to claim 6, characterized in that: The electrode (21) is disposed inside the cap body (1) via a connecting strap (211).

8. The intelligent device for wearable cap-style EEG monitoring according to claim 7, characterized in that: The central controller is also connected to an alarm unit (4), which is located on the outside of the cap (1). When abnormal fluctuations in the EEG signal are detected, the alarm unit (4) will issue an alarm message in a timely manner to remind the user or relevant guardian.

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