CN112515680B - Wearable brain electrical fatigue monitoring system - Google Patents
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Abstract
A wearable electroencephalogram fatigue monitoring system comprises a collecting unit, a synchronizing unit and an early warning unit. The acquisition unit is used for acquiring electroencephalogram data, and transmitting the electroencephalogram data to the early warning unit through a wireless network after filtering, amplifying and analog-to-digital conversion operations are carried out on the electroencephalogram data; the synchronous unit is used for collecting the event flag bits generated by the stimulation equipment and synchronously sending the event flag bits to the early warning unit through a wireless network; the early warning unit receives the digital signals transmitted by the acquisition unit and the event zone bits transmitted by the synchronization unit through the WIFI receiving module, preprocesses the received digital signals and the event zone bits, extracts data features, calculates the cognitive state of the user based on the data features, and performs early warning when the cognitive state of the user is low. The wearable electroencephalogram fatigue monitoring system is convenient to carry, the preparation time before use is short, and electroencephalogram and electro-oculogram signals can be acquired based on the electrode distribution mode provided by the invention.
Description
Technical Field
The invention relates to a brain cognitive detection method, in particular to a wearable electroencephalogram fatigue monitoring system.
Background
Fatigue is divided into physical fatigue and mental fatigue, and as the progress of industrialization is advanced, mental fatigue is more commonly present among people. When a person is in mental fatigue, the cognitive function is limited, the reaction speed is reduced, and the performance is deteriorated, so that the probability of major accidents is increased, and the accurate prediction of the fatigue state of the person has great significance. The fatigue detection method can be divided into a subjective method and an objective method, wherein the subjective method mainly comprises various subjective scales, and the objective method mostly depends on various physiological indexes, such as: eye current, electrocardio, electroencephalogram, eye movement and the like. The time resolution of the brain electrical signal is high, and the brain electrical signal can directly reflect the activity state of the brain of a human, so the brain electrical signal is widely applied to the related research of fatigue and cognitive function.
Common electroencephalogram acquisition equipment is mostly a wet electrode acquisition system based on conductive paste, electrode materials are mostly silver/silver chloride, the impedance between a wet electrode and the skin is generally lower than 10k omega, and the signal-to-noise ratio is good. However, these systems are too long to prepare in the early stages of their actual use and the devices are cumbersome and inconvenient to carry; and in the long-time collection process, the signal quality is influenced along with the drying of the conductive paste. Therefore, for practical use, the portable electroencephalogram equipment based on the dry electrode is indispensable, and the wearable electroencephalogram can be used for clinical research such as epilepsy detection and the like and practical application such as brain-computer interfaces and the like.
Disclosure of Invention
Technical problem to be solved
The invention mainly aims to provide a wearable electroencephalogram fatigue monitoring system to overcome the defects that a conventional electroencephalogram acquisition system needs long time for early preparation, is heavy and inconvenient to carry, and is susceptible to influence on signal quality when used.
(II) technical scheme
The invention provides a wearable electroencephalogram acquisition system, which comprises an acquisition unit, a synchronization unit and an early warning unit, wherein,
the acquisition unit is used for acquiring electroencephalogram data, and transmitting the electroencephalogram data to the early warning unit through a wireless network after filtering, amplifying and analog-to-digital conversion operations are carried out on the electroencephalogram data;
the synchronous unit is used for collecting the event zone bits generated by the stimulation equipment and synchronously transmitting the event zone bits to the early warning unit through a wireless network;
the early warning unit receives the digital signals transmitted by the acquisition unit and the event zone bits transmitted by the synchronization unit through the WIFI receiving module, preprocesses the received digital signals and the received event zone bits, extracts data characteristics, calculates the cognitive state of the user based on the data characteristics, and warns when the cognitive state of the user is low.
The acquisition unit includes dry electrode, wave filter, amplifier, analog-to-digital conversion module, microprocessor and WIFI sending module, wherein:
the dry electrode is positioned on the scalp, is connected with the input end of the filter, and is used for collecting original electroencephalogram data and sending the collected original electroencephalogram data to the filter;
the filter is connected with the input end of the amplifier, and is used for filtering the original electroencephalogram data collected by the dry electrode and then transmitting the filtered electroencephalogram data to the amplifier;
the amplifier is connected with the input end of the analog-to-digital conversion module, amplifies the filtered electroencephalogram data, and then transmits the amplified electroencephalogram data to the analog-to-digital conversion module;
the analog-to-digital conversion module is connected with the WIFI sending module and the microprocessor, converts the filtered electroencephalogram data from analog signals into digital signals under the control of the microprocessor, and then transmits the digital signals to the WIFI sending module;
and the WIFI sending module is used for sending the digital signals transmitted by the analog-to-digital conversion module to the early warning unit through a wireless network.
The synchronization unit includes event acquisition module and WIFI sending module, wherein:
the event acquisition module is connected with the input end of the WIFI transmission module and is used for acquiring an event flag bit generated by the stimulation equipment and transmitting the event flag bit to the WIFI transmission module connected with the stimulation equipment;
and the WIFI sending module is used for sending the event zone bits collected by the event collecting module to the early warning unit based on a wireless network.
The early warning unit includes: WIFI receiving module, preprocessing module, alertness analysis module and warning early warning module, wherein:
the WIFI receiving module is connected with the input end of the preprocessing module and used for receiving the digital signals transmitted by the acquisition unit and the event zone bits transmitted by the synchronization unit and transmitting the received information to the preprocessing module;
the preprocessing module is connected with the input end of the alertness analysis module, preprocesses the information received by the WIFI receiving module, extracts data characteristics, and transmits the extracted data characteristics to the alertness analysis module connected with the preprocessing module;
the alertness analysis module is connected with the input end of the reminding and early warning module, calculates the cognitive state of the user by adopting a machine learning method based on the data characteristics transmitted by the preprocessing module, and transmits the calculated cognitive state of the user to the reminding and early warning module connected with the alertness analysis module;
and the reminding and early warning module is used for judging whether early warning is needed or not according to the cognitive state of the user calculated by the alertness analysis module, and early warning is carried out when the cognitive state of the user is low.
(III) advantageous effects
1. The wearable electroencephalogram fatigue monitoring system provided by the invention consists of the acquisition unit, the synchronization unit and the early warning unit, data transmission is carried out between each unit based on a wireless network, and each unit consists of a plurality of modules, so that the wearable electroencephalogram fatigue monitoring system is convenient to carry, the preparation time before use is short,
2. the wearable electroencephalogram fatigue monitoring system provided by the invention adopts a new electrode distribution position, the vertical electro-oculogram signals can be obtained by subtracting the signals of two electrodes in the same vertical line, the horizontal electro-oculogram signals can be obtained by subtracting the signals of symmetrical electrodes in the same horizontal line, the electro-oculogram signals and the electroencephalogram signals can be obtained without a special collecting electrode,
drawings
FIG. 1 is a schematic diagram of a wearable electroencephalogram system according to an embodiment of the present invention;
fig. 2 is a diagram illustrating a position distribution of a dry electrode in a wearable brain electrical system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
Fig. 1 is a schematic diagram of a wearable electroencephalogram system according to an embodiment of the present invention, the system including an acquisition unit, a synchronization unit, and an early warning unit, wherein,
the acquisition unit is used for acquiring electroencephalogram data, and transmitting the electroencephalogram data to the early warning unit through a wireless network after filtering, amplifying and analog-to-digital converting operations are carried out on the electroencephalogram data;
the synchronous unit is used for collecting the event marker bits generated by the stimulation equipment and synchronously sending the event marker bits to the early warning unit through a wireless network;
the early warning unit receives the digital signals transmitted by the acquisition unit and the event zone bits transmitted by the synchronization unit through the WIFI receiving module, preprocesses the received digital signals and the event zone bits, extracts data features, calculates the cognitive state of the user based on the data features, and performs early warning when the cognitive state of the user is low.
The acquisition unit includes dry electrode, wave filter, amplifier, analog-to-digital conversion module, microprocessor and WIFI sending module, wherein:
the dry electrode is positioned on the scalp, is connected with the input end of the filter and is used for collecting original electroencephalogram data and sending the collected original electroencephalogram data to the filter;
the filter is connected with the input end of the amplifier, and is used for filtering the original electroencephalogram data collected by the dry electrode and then transmitting the filtered electroencephalogram data to the amplifier;
the amplifier is connected with the input end of the analog-to-digital conversion module, amplifies the filtered electroencephalogram data, and then transmits the amplified electroencephalogram data to the analog-to-digital conversion module;
the analog-to-digital conversion module is connected with the WIFI sending module and the microprocessor, converts the filtered electroencephalogram data from analog signals into digital signals under the control of the microprocessor, and then transmits the digital signals to the WIFI sending module;
and the WIFI sending module is used for sending the digital signals transmitted by the analog-to-digital conversion module to the early warning unit through a wireless network.
Fig. 2 is a position distribution diagram of dry electrodes in a wearable brain electrical system according to an embodiment of the present invention, where the dry electrodes include a first electrode 1, a second electrode 2, a third electrode 3, a fourth electrode 4, a fifth electrode 5, and a sixth electrode 6, and the electrodes are distributed in a hairless area of the forehead.
The first electrode 1 and the third electrode 3 are positioned above the left eye, the first electrode 1 and the third electrode 3 are vertically distributed, the two electrodes are positioned on the same vertical line, and the first electrode 1 is higher than the third electrode 3; the second electrode 2 and the fourth electrode 4 are positioned above the right eye and are symmetrically distributed with the first electrode 1 and the third electrode 3 respectively; the fifth electrode 5 is positioned at the left temple position, and the sixth electrode 6 is positioned at the right temple position; the first electrode 1, the second electrode 2, the third electrode 3, the fourth electrode 4, the fifth electrode 5 and the sixth electrode 6 can collect forehead electroencephalogram signals, and detection of vertical eye electric signals and horizontal eye electric signals is achieved. Subtracting signals collected by the first electrode 1 and the third electrode 3 or subtracting signals collected by the second electrode 2 and the fourth electrode 4 to obtain a vertical electro-oculogram signal; and subtracting the signals acquired by the fifth electrode 5 and the sixth electrode 6 or subtracting the signals acquired by the third electrode 3 and the fourth electrode 4 to obtain a horizontal electro-oculogram signal. The position distribution of the electrodes adopted by the invention can realize the simultaneous acquisition of electroencephalogram and electrooculogram signals without adding extra electrodes.
The main function of the synchronization unit is to synchronously send the event zone bits generated by the stimulation device to the early warning part through WIFI, wherein the stimulation device is used for generating stimulation signals to stimulate the brain of a human to generate responses, and the stimulation device also generates the event zone bits while generating the stimulation signals. The stimulation device comprises: mobile phones, computers, LED display screens and the like.
The synchronization unit includes event acquisition module and WIFI sending module, wherein:
the event acquisition module is connected with the input end of the WIFI transmission module and is used for acquiring an event flag bit generated by the stimulation equipment and transmitting the event flag bit to the WIFI transmission module connected with the stimulation equipment;
and the WIFI sending module is used for sending the event zone bits collected by the event collecting module to the early warning unit based on a wireless network.
The early warning unit receives the digital signals transmitted by the acquisition unit and the event zone bits transmitted by the synchronization unit through the WIFI receiving module, preprocesses the received digital signals and the event zone bits, extracts data features, calculates the cognitive state of the user based on the data features, and performs early warning when the cognitive state of the user is low. The early warning unit includes: WIFI receiving module, preprocessing module, alertness analysis module and warning early warning module, wherein:
the WIFI receiving module is connected with the input end of the preprocessing module and used for receiving the digital signals transmitted by the acquisition unit and the event zone bits transmitted by the synchronization unit and transmitting the received information to the preprocessing module;
the preprocessing module is connected with the input end of the alertness analysis module, preprocesses the information received by the WIFI receiving module, extracts data characteristics, and transmits the extracted data characteristics to the alertness analysis module connected with the preprocessing module;
the alertness analysis module is connected with the input end of the reminding and early warning module, calculates the cognitive state of the user by adopting a machine learning method based on the data characteristics transmitted by the preprocessing module, and transmits the calculated cognitive state of the user to the reminding and early warning module connected with the alertness analysis module;
and the reminding and early warning module is used for judging whether early warning is needed or not according to the cognitive state of the user calculated by the alertness analysis module, and early warning is carried out when the cognitive state of the user is low.
Specifically, the WIFI receiving module of the early warning unit receives the digital signals transmitted by the acquisition unit and the event zone bits transmitted by the synchronization unit, and the WIFI receiving module transmits the received information to the preprocessing module connected with the WIFI receiving module to preprocess the information and extract the data characteristics. The information preprocessing process comprises the steps of filtering the received information, removing noise and artifacts in the information, and extracting data characteristics in the transmitted information according to the relative power of a frequency domain and the entropy of a time domain. The pre-processing module transmits the extracted data features to an alertness analysis module connected with the pre-processing module, models such as a random forest, a support vector machine and a full-link neural network are used in the alertness analysis module based on the extracted data features, the cognitive state of a user is calculated based on machine learning and deep learning methods, the calculated cognitive state of the user is transmitted to a reminding and early-warning module connected with the alertness analysis module, the reminding and early-warning module determines whether to carry out early warning according to the transmitted cognitive state of the user, and when the cognitive state of the user is low, the early warning is carried out in a way of sound, vibration and the like, even transcranial electrical stimulation can be carried out, so that the cognitive level of a wearer is improved.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. The utility model provides a wearable brain electricity collection system which characterized in that, this system includes acquisition unit, synchronization unit and early warning unit, wherein:
the acquisition unit is used for acquiring electroencephalogram data, and transmitting the electroencephalogram data to the early warning unit through a wireless network after filtering, amplifying and analog-to-digital conversion operations are carried out on the electroencephalogram data;
the synchronous unit is used for collecting the event zone bits generated by the stimulation equipment and synchronously transmitting the event zone bits to the early warning unit through a wireless network;
the early warning unit receives the digital signals transmitted by the acquisition unit and the event zone bits transmitted by the synchronization unit through the WIFI receiving module, preprocesses the received digital signals and the event zone bits, extracts data characteristics, calculates the cognitive state of the user based on the data characteristics, and warns when the cognitive state of the user is low;
wherein the acquisition unit comprises dry electrodes comprising a first electrode (1), a second electrode (2), a third electrode (3), a fourth electrode (4), a fifth electrode (5) and a sixth electrode (6), wherein:
the first electrode (1) and the third electrode (3) are positioned above a left eye, the first electrode (1) and the third electrode (3) are vertically distributed, the two electrodes are positioned on the same vertical line, and the first electrode (1) is higher than the third electrode (3);
the second electrode (2) and the fourth electrode (4) are positioned above the right eye and are respectively and symmetrically distributed with the first electrode (1) and the third electrode (3);
the fifth electrode (5) is positioned at the left temple position, and the sixth electrode (6) is positioned at the right temple position;
the first electrode (1), the second electrode (2), the third electrode (3), the fourth electrode (4), the fifth electrode (5) and the sixth electrode (6) can collect forehead electroencephalogram signals, and detection of vertical eye electrical signals and horizontal eye electrical signals is achieved;
the first electrode (1), the second electrode (2), the third electrode (3), the fourth electrode (4), the fifth electrode (5) and the sixth electrode (6) collect forehead electroencephalogram signals, and detection of vertical eye electric signals and horizontal eye electric signals is achieved, and the method comprises the following steps:
subtracting signals collected by the first electrode (1) and the third electrode (3) or subtracting signals collected by the second electrode (2) and the fourth electrode (4) to obtain a vertical electro-oculogram signal;
subtracting signals collected by the fifth electrode (5) and the sixth electrode 6 or subtracting signals collected by the third electrode (3) and the fourth electrode (4) to obtain a horizontal electro-oculogram signal;
the early warning unit includes: WIFI receiving module, preprocessing module, alertness analysis module and warning early warning module, wherein:
the WIFI receiving module is connected with the input end of the preprocessing module and is used for receiving the digital signals transmitted by the acquisition unit and the event flag bits transmitted by the synchronization unit and transmitting the received information to the preprocessing module;
the preprocessing module is connected with the input end of the alertness analyzing module, preprocesses the information received by the WIFI receiving module, extracts data characteristics, and transmits the extracted data characteristics to the alertness analyzing module connected with the preprocessing module;
the alertness analysis module is connected with the input end of the reminding and early warning module, calculates the cognitive state of the user by adopting a machine learning method based on the data characteristics transmitted by the preprocessing module, and transmits the calculated cognitive state of the user to the reminding and early warning module connected with the alertness analysis module;
and the reminding and early warning module is used for judging whether early warning is needed or not according to the cognitive state of the user calculated by the alertness analysis module, and carrying out early warning when the cognitive state of the user is low.
2. The wearable electroencephalogram acquisition system of claim 1, wherein the acquisition unit comprises a dry electrode, a filter, an amplifier, an analog-to-digital conversion module, a microprocessor, and a WIFI transmission module, wherein:
the dry electrode is positioned on the scalp, is connected with the input end of the filter and is used for collecting original electroencephalogram data and sending the collected original electroencephalogram data to the filter;
the filter is connected with the input end of the amplifier, and is used for filtering the original electroencephalogram data collected by the dry electrode and then transmitting the filtered electroencephalogram data to the amplifier;
the amplifier is connected with the input end of the analog-to-digital conversion module, amplifies the filtered electroencephalogram data, and then transmits the amplified electroencephalogram data to the analog-to-digital conversion module;
the analog-to-digital conversion module is connected with the WIFI sending module and the microprocessor, converts the filtered electroencephalogram data from analog signals into digital signals under the control of the microprocessor, and then transmits the digital signals to the WIFI sending module;
and the WIFI sending module is used for sending the digital signals transmitted by the analog-to-digital conversion module to the early warning unit through a wireless network.
3. The wearable electroencephalogram acquisition system of claim 1, wherein the synchronization unit comprises an event acquisition module and a WIFI transmission module, wherein:
the event acquisition module is connected with the input end of the WIFI sending module and used for acquiring an event flag bit generated by the stimulation equipment and transmitting the event flag bit to the WIFI sending module connected with the stimulation equipment;
and the WIFI sending module is used for sending the event zone bits collected by the event collecting module to the early warning unit based on a wireless network.
4. The wearable brain electrical acquisition system of claim 3, wherein the stimulation device is configured to generate a stimulation signal to stimulate the brain of the person to generate a response, and wherein the stimulation device generates the event flag at the same time as the stimulation signal.
5. The wearable brain electrical acquisition system of claim 4, wherein the stimulation device comprises: cell-phone, computer, LED display screen.
6. The wearable electroencephalogram acquisition system of claim 1, wherein when the cognitive state of the user is low, an early warning is given, and the early warning method comprises the following steps: sound, vibration, and transcranial electrical stimulation.
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