CN112107295A - Data processing method and system of wearable device, storage medium and wearable device - Google Patents
Data processing method and system of wearable device, storage medium and wearable device Download PDFInfo
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Abstract
The invention provides a data processing method of wearable equipment, which comprises the following steps: acquiring the current physiological parameters of the wearer acquired by an acquisition module; performing data judgment on the acquired current physiological parameters; configuring a feedback element to form feedback to the wearer based on the data determination. The invention also relates to a data processing system of the wearable device, a storage medium and the wearable device. According to the invention, the physiological parameters of a wearer, namely a driver, are acquired, the acquired physiological parameters are subjected to data processing through the data processing module, and the processing result is fed back to the driver to remind the driver of the state of the driver, so that the serious consequences of the driver caused by fatigue driving are avoided; in addition, a plurality of physiological parameters of the driver can be acquired simultaneously, the physiological state of the driver is fed back through multidimensional information, the probability of misinformation is greatly reduced, the accuracy of judgment is improved, and even the fatigue degree of the driver is accurately quantized.
Description
Technical Field
The invention relates to the field of wearable equipment, in particular to a data processing method of the wearable equipment.
Background
With the continuous and rapid development of the transportation industry and the automobile manufacturing industry, the requirements of people on traveling are higher and higher, and the automobile gradually becomes one of the important transportation tools for daily traveling of people. The novel bus-bar type bus-bar device brings comfort and convenience to daily life, and meanwhile, the traffic accidents caused by the novel bus-bar type bus-bar device directly harm the life and property safety of drivers and other people. Research data indicate that the proportion of traffic accidents caused by fatigue driving is rising year by year. Fatigue driving refers to a phenomenon that after a driver drives a vehicle for a long time, the psychological state and the physiological state of the driver are disordered, so that the driving skill is reduced in an objective state. The fatigue phenomena of mental handicap, sleepiness and the like easily occur after a driver drives for a long time due to insufficient sleep or poor sleep quality at night. When a driver is tired, the phenomena of blurred vision, dull action, non-centralized energy, slow reaction, incomplete thinking, distraction and the like occur. When a driver is in slight fatigue, untimely and inaccurate gear shifting can occur; when the driver is in moderate fatigue, the operation action is dull, and sometimes even the driver forgets the operation; when a driver is severely tired, the driver is often conscious of operation or sleeps for a short time, and the driver loses the control capability of the vehicle in severe cases. The deterioration of the judgment ability, the slow response and the increase of the misoperation may cause the occurrence of traffic accidents if the vehicle is still barely driven. According to a survey of the U.S. automobile traffic safety foundation: fatigue driving accounts for 21% of traffic accident deaths in the united states, while accidents caused by fatigue driving account for more than 40% of traffic accidents in China, which are very serious traffic accidents. It is seen that fatigue driving accounts for a very high proportion of traffic accidents.
Fatigue is a state in which the body's ability to work decreases after continuous work. Fatigue is first produced in the cerebral cortex, and when the same work is repeated for a long time, cells participating in the work in the cortex are frequently stimulated to produce strong excitation, the excitation is converted into inhibition when the excitation lasts for a certain degree, and if the work is continued, the inhibition process is strengthened to cause fatigue. If the human body is in a fatigue state for a long time and cannot have proper rest, fatigue is accumulated to generate 'over-fatigue', and the functions of the central nervous system and other systems of the body of the serious person are disordered.
Therefore, a set of reliable fatigue monitoring scheme is specially designed for the driver, real-time quantification, display and feedback of the fatigue degree of the driver in the driving process are realized by detecting the physiological indexes of the driver, and the fatigue monitoring system has great social significance and economic significance for protecting the driving safety of the driver and reducing the traffic accident rate caused by fatigue, particularly the accident rate of driving at night.
Currently, methods for driver fatigue monitoring include video image-based methods and multi-sensor-based methods; the method based on the video image mainly comprises the steps of shooting a face area of a driver by using a camera, analyzing images shot by the camera frame by frame, and judging the fatigue state of the driver at different times according to experience or an algorithm. The standard of general judgment is the PERCLOS standard set forth by the U.S. national highway traffic safety administration. The P80 indicator of PERCLOS criteria is most widely used, meaning that the proportion of the total time for a complete blink, which is proportional to the driver fatigue, is more than 80% of the eye area covered by the eyelid. The non-contact method has the advantages that the normal activity of a driver is not influenced, the driver is hardly disturbed, but the equipment cost is high, and the precision is greatly influenced by other external factors, such as the definition of the camera equipment, the brightness of light rays and the like, and the precision of a detection algorithm is seriously influenced especially when eyes are shielded. The method based on multiple sensors is characterized in that comprehensive judgment is carried out based on information such as the gripping force of a steering wheel, the operation of an accelerator pedal and a brake pedal, and accurate and stable data are difficult to acquire due to different personal habits, different proficiency degrees of skills, different structures of vehicles and the like of a driver, so that the detection effect is influenced; this method is rarely used because of its low accuracy.
At present, a monitoring method which is less influenced by external factors and is not controlled by subjective behaviors or will of people is urgently needed.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a data processing method of a wearable device.
The invention acquires the physiological parameters of the driver and processes the data, and obtains the current physiological state of the driver in time.
The invention provides a data processing method of wearable equipment, which comprises the following steps:
acquiring the current physiological parameters of the wearer acquired by an acquisition module;
performing data judgment on the acquired current physiological parameters;
configuring a feedback element to form feedback to the wearer based on the data determination.
Preferably, in the step of performing data judgment on the acquired current physiological parameter, the method further includes:
and judging the preset parameter threshold range matched with the current physiological parameter so as to configure a feedback element to execute corresponding feedback.
Preferably, when the acquired current physiological parameter is judged to be within the preset parameter threshold range, the method further comprises the following steps:
obtaining the change rate of the current physiological parameter;
when the change rate of the current physiological parameter is within a preset threshold range, configuring a feedback element to execute first feedback;
when the change rate of the current physiological parameter is larger than a preset threshold range, configuring a feedback element to execute second feedback;
and when the change rate of the current physiological parameter is smaller than a preset threshold range, configuring a feedback element to execute third feedback.
Preferably, in the step of performing data judgment on the acquired current physiological parameter, the method further includes:
when the current physiological parameter at least comprises a first parameter and a second parameter:
acquiring the change rate of the current first parameter and the change rate of the second parameter;
and judging whether one of the change rate of the first parameter and the change rate of the second parameter meets a preset threshold range or not so as to configure a feedback element to execute different feedbacks.
Preferably, the current physiological parameters acquired by the acquisition module are preprocessed; wherein the preprocessing comprises high-pass filtering processing and notching processing.
Preferably, the current physiological parameters acquired include: one or more of electroencephalogram signals, electro-oculogram signals and electrocardiosignals.
The invention also provides a computer-readable storage medium having stored thereon a computer program for execution by a processor of a data processing method of a wearable device.
The invention also provides a data processing system of the wearable device, which comprises an acquisition module, a judgment module and a feedback module; wherein,
the acquisition module is configured to acquire the current physiological parameters of the wearer acquired by the acquisition module;
the judging module is configured to perform data judgment on the acquired current physiological parameter;
the feedback module is configured to configure the feedback element to form feedback to the wearer according to the data determination.
Preferably, the judging module includes a first judging unit, a second judging unit, and a third judging unit; wherein,
the first judging unit is configured to judge a preset parameter threshold range matched with the current physiological parameter so as to configure the feedback element to execute corresponding feedback.
The second judging unit is configured to obtain a change rate of the current physiological parameter;
when the change rate of the current physiological parameter is within a preset threshold range, configuring a feedback element to execute first feedback;
when the change rate of the current physiological parameter is larger than a preset threshold range, configuring a feedback element to execute second feedback;
when the change rate of the current physiological parameter is smaller than a preset threshold range, configuring a feedback element to execute third feedback;
the third judging unit is configured to, when the current physiological parameter at least includes a first parameter and a second parameter:
acquiring the change rate of the current first parameter and the change rate of the second parameter;
judging whether one of the change rate of the first parameter and the change rate of the second parameter meets a preset threshold range or not so as to configure a feedback element to execute different feedbacks;
the acquisition module further comprises a preprocessing unit configured to preprocess the current physiological parameters acquired by the acquisition module; wherein the preprocessing comprises high-pass filtering processing and notching processing.
The invention also provides wearable equipment, which comprises an equipment body for monitoring the physiological parameters of a wearer, wherein the equipment body comprises the data processing system of the wearable equipment; the wearable clothes, the acquisition assembly and the data processing module are also included;
the wearable clothes comprises a wearable clothes body, a collecting assembly and a control module, wherein the collecting assembly is internally integrated with the collecting module, is embedded in the wearable clothes body and is used for collecting one or more of electrocardiosignals, electroencephalogram signals and electro-oculogram signals of a wearer;
the data processing module comprises the judging module and a feedback module;
the data processing module is integrated on the mobile device to perform data processing on the physiological parameters of the wearer acquired by the acquisition assembly and feed back a processing result to the wearer.
Compared with the prior art, the invention has the beneficial effects that:
the invention discloses a data processing method of wearable equipment, which comprises the steps of acquiring physiological parameters of a wearer, namely a driver, performing data processing on the acquired physiological parameters through a data processing module, and feeding back a processing result to the driver to remind the driver of the state of the driver in time, so that serious consequences of fatigue driving of the driver are avoided; in addition, a plurality of physiological parameters of the driver can be acquired simultaneously, the physiological state of the driver is fed back through multidimensional information, the probability of misinformation is greatly reduced, the accuracy of judgment is improved, and even the fatigue degree of the driver is accurately quantized.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is an overall flowchart of a data processing method of a wearable device of the present invention;
fig. 2 is a flowchart of an embodiment of a data processing method of the wearable device of the present invention;
FIG. 3 is a logic diagram of one embodiment of a data processing method of the wearable device of the present invention;
fig. 4 is a logic diagram of another embodiment of a data processing method of the wearable device of the present invention;
fig. 5 is a logic diagram of another embodiment of a data processing method of the wearable device of the present invention;
FIG. 6 is a block diagram of a data processing system of the wearable device of the present invention;
FIG. 7 is a schematic view of a wearable device of the present invention;
reference numerals: 10. the electrocardio collecting device comprises clothes, 110, an electrocardio collecting component, 20, a hat, 210, a first electrode plate, 220, a reference electrode plate, 230, a second electrode plate, 30, a mobile device, 01, an obtaining module, 02, a judging module, 021, a first judging module, 022, a second judging module, 023, a third judging module, 03 and a feedback module.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
The wearable device provided by the invention comprises clothes, a hat, a necklace and the like worn on the body of a driver, the acquisition component is embedded in the clothes, the hat and the necklace to acquire the physiological parameters of the driver, the acquired data is processed in time through the data processing component, and the obtained processing result is fed back to the driver.
The present invention preferably integrates data processing components within the mobile device, such as: provided is a mobile phone. The mobile phone becomes a necessary article for people nowadays, the mobile phone is used for carrying out data processing on the physiological parameters of the driver collected by the collecting assembly, and the driver can know the processing result, so that the driver can know the body state of the driver.
The invention provides a data processing method of wearable equipment, which comprises the following steps as shown in figure 1:
and S1, acquiring the current physiological parameters of the wearer acquired by the acquisition module. In one embodiment, the acquisition module and the data processing module integrated in the mobile device preferably transmit data through NFC communication technology; NFC is a short-distance high-frequency radio technology, the Chinese of NFC is totally called as an approach communication technology, NFC is developed by combining a wireless interconnection technology on the basis of a non-contact radio frequency identification technology, and NFC is a common communication mode in our life. The invention applies the NFC communication technology to wearable equipment, in particular to clothes for acquiring physiological parameters of people. Nowadays, the mobile phone is generally installed on an NFC chip, and the mobile phone sends out physiological parameters acquired by an acquisition module through an NFC chip technology. In addition, the communication distance of the NFC chip is required to be within 10cm, and a driver can place the mobile phone in a jacket pocket or hang the mobile phone on the neck like a necklace during driving, so that the data transmission requirement of the NFC chip can be met.
And S2, performing data judgment on the acquired current physiological parameters.
And S3, configuring a feedback element according to the data judgment result to form feedback for the wearer.
In one embodiment, as shown in fig. 3, the preset parameter threshold range matched with the current physiological parameter is determined, so as to configure the feedback element to perform corresponding feedback. Such as: the current electrocardiosignal of the driver is obtained, the driver wears the clothes 10 inlaid with the electrocardio acquisition component 110, and the acquisition component is positioned near the heart of the driver. The electrocardiosignal indicates the fatigue degree mainly through two indexes of the change of the heart rate in the time domain and the heart rate variability HRV, wherein the HRV refers to the time interval change between heartbeats. After the mobile device acquires the electrocardiosignals of the current driver acquired by the acquisition assembly, data judgment needs to be carried out on the acquired data. The normal range of electrocardiosignals of a general driver is as follows: 60-100 times/minute, when the current electrocardiosignal of the driver is in the normal electrocardiosignal range, the mobile device feeds back to the wearer, namely the driver, through a first mode, preferably the first feedback mode is as follows: a slow-paced alert tone that has informed the driver that the physical state is normal; when the current electrocardiosignal of the driver is beyond the normal electrocardiosignal range, such as 100 times/minute higher or 60 times/minute lower, the second feedback mode is selected to be fed back to the driver, and the second feedback mode is preferably as follows: a prompt tone with a faster tempo to warn the driver; in addition, a third feedback mode, a fourth feedback mode, and the like can be provided.
Further, as shown in fig. 3, when it is determined that the acquired current physiological parameter is within the preset parameter threshold range, the method further includes:
obtaining the change rate of the current physiological parameter;
when the change rate of the current physiological parameter is within a first preset threshold range, configuring a feedback element to execute first feedback;
when the change rate of the current physiological parameter is within a second preset threshold range, configuring a feedback element to execute second feedback;
and when the change rate of the current physiological parameter is within a third preset threshold range, configuring a feedback element to execute third feedback. Research shows that the heart rate of a driver in a fatigue driving state is driven to be slowed down, so that the current state and the state trend of the driver can be reflected more accurately by analyzing the change rate of the electrocardiosignal. This embodiment is a further confirmation of the previous embodiment, and should be understood as follows: when the current physiological parameter is within the preset parameter threshold value range, the change rate of the current physiological parameter, namely the change trend of the current physiological parameter and the last acquired physiological parameter, is continuously acquired. Such as: normal heart rate range of driver: the heart rate is detected for 60-100 times/minute, the currently detected heart rate is 60 times/minute, the last detected heart rate value is 100 times/minute, although the two detections are within the normal heart rate range of the driver, the change rate of the heart rate is large, and the heart rate needs to be timely fed back to the driver to be valued. When the change rate of the physiological parameter is in different set threshold ranges, the feedback element is configured to perform different feedbacks.
In another embodiment, as shown in fig. 4, when the current physiological parameters at least include a first parameter and a second parameter:
acquiring the change rate of the current first parameter and the change rate of the second parameter;
and judging whether one of the change rate of the first parameter and the change rate of the second parameter meets a preset threshold range or not so as to configure a feedback element to execute different feedbacks. In this embodiment, the physiological parameters of the driver generally include at least an electrocardiographic signal, an electroencephalogram signal, and an electrooculogram signal; among them, the electroencephalogram signals record the electric wave changes when the brain is active, and quantitative analysis is performed on the electroencephalogram waves of different frequencies, so that the most direct and effective reflection of the fatigue state can be realized, and the electroencephalogram signals are considered as the most direct signals which can be used for detecting fatigue. The most mainstream calculation index is the average approximate entropy, the index reflects the thinking complexity of the brain, and when a driver is in a fatigue driving state, the thinking complexity of the driver is reduced, and the average approximate entropy of brain waves is reduced. By calculating this index, the degree of fatigue of the driver can be quantitatively evaluated. However, the electroencephalogram signal is weak, and is easily influenced by the electromagnetic environment in the vehicle. The electro-oculogram signal is another effective signal for fatigue monitoring, and can reflect the eye movement characteristics of the driver. Forehead eye is to place the electrode and gather at the forehead, so not only can not disturb driver's activity, also can not influence the instruction of the eye signal of gathering, also is favorable to wearable equipment's integration and practical application simultaneously. Contrary to the electroencephalogram signal, the electrooculogram signal is less affected by noise, but the fatigue condition can be inferred only indirectly by measuring the driver's eye movement information.
The monitoring of electrocardiosignals, electro-oculogram signals or electroencephalogram signals has respective advantages and defects, so that feature fusion or result fusion is carried out on various physiological parameter data, the identification accuracy of fatigue features can be greatly improved, and the misjudgment and false alarm probability of a system is reduced. The detection method for fusing various physiological parameters to form various physiological signal fusion can effectively improve the judgment accuracy of the fatigue level, reduce the misjudgment probability and improve the system robustness.
Such as: and obtaining the change rate of the current electroencephalogram signal and the change rate of the electrocardiosignal, and feeding back to the driver in a fifth mode when one of the change rate of the current electroencephalogram signal and the change rate of the electrocardiosignal meets the first preset parameter change rate and the second preset parameter change rate. It should be noted that: the feedback mode is not limited in the invention, and different judgment results are preferably fed back to the driver in different modes through the sound module, so that the driver can know the physical state of the driver in time and the sound is given out to play a role in reminding or awakening.
Preprocessing the current physiological parameters acquired by the acquisition module; wherein the preprocessing comprises high-pass filtering processing and notching processing. In one embodiment, the acquired physiological parameter signals are preprocessed through a digital filter, low-frequency signals below 0.5Hz are filtered through a high-pass filter, and meanwhile, in order to reduce the interference of 50Hz power frequency in a complex electromagnetic environment, notch processing is carried out on the signals.
It should be noted that a plurality of physiological parameters of the driver are acquired to accurately acquire the body state of the driver, and the plurality of physiological parameters are greater than or equal to two.
In one particular embodiment, by acquiring three physiological parameters simultaneously: the electroencephalogram signal, the electro-oculogram signal and the electrocardiosignal are used for monitoring and collecting the body state of the driver. The method also comprises the following processing modes after the acquired physiological parameters are preprocessed:
and removing high-frequency signals above 100Hz by using a low-pass filter for the electroencephalogram signals, calculating approximate entropy in a past period of time, and counting the change condition of the approximate entropy.
Using non-linear filtering on the eye electrical signal, a blink signal is extracted and the duration of the blinking movement is counted, counting the duration of the blinking in the past period.
As shown in fig. 2 and 5, after step S3, the method further includes:
s4, when the feedback received by the wearer matches the set feedback, i.e. the body state of the wearer is in a dangerous state:
acquiring the current physiological parameters of the wearer acquired by an acquisition module within a set threshold time;
comparing the current physiological parameter with the physiological parameter obtained in the step S1;
and when the matching rate of the current physiological parameter and the physiological parameter acquired in the step S1 is within the set threshold range, configuring a feedback element to perform alarm feedback. In this embodiment, when the result of the data determination of the physiological parameter is the danger level in step S2, and the danger signal is fed back to the wearer through the feedback element, the response of the wearer to the feedback is detected again, which should be understood as: confirming that the wearer has taken no action to address the hazard signal or has not received the hazard signal.
When the matching rate of the data detected again by the driver in this embodiment and the physiological data detected in step S2 is within the set threshold range, that is, the driver has not changed basically, the current physiological parameter of the driver still deals with the risk level, in this case, the driver cannot change for some reason, for example: the patient suffers from diseases or encounters hijacking, and the measures to be collected at the moment are to inform family or directly alarm to obtain help.
The invention also provides a computer-readable storage medium having stored thereon a computer program for execution by a processor of a data processing method of a wearable device.
The invention also provides a data processing system of the wearable device, as shown in fig. 6, comprising an obtaining module 01, a judging module 02 and a feedback module 03; wherein,
the acquisition module 01 is configured to acquire the current physiological parameters of the wearer acquired by the acquisition module;
the judging module 02 is configured to perform data judgment on the acquired current physiological parameter;
the feedback module 03 is configured to configure a feedback element to form feedback to the wearer according to the data determination result.
Preferably, the judging module 02 includes a first judging unit 021, a second judging unit 022 and a third judging unit 023; wherein,
the first determining unit 021 is configured to determine a preset parameter threshold range matched with the current physiological parameter, so as to configure a feedback element to perform corresponding feedback.
The second determination unit 022 configured to obtain a change rate of a current physiological parameter;
when the change rate of the current physiological parameter is within a preset threshold range, configuring a feedback element to execute first feedback;
when the change rate of the current physiological parameter is larger than a preset threshold range, configuring a feedback element to execute second feedback;
when the change rate of the current physiological parameter is smaller than a preset threshold range, configuring a feedback element to execute third feedback;
the third determining unit 023 is configured to, when the current physiological parameter at least includes a first parameter and a second parameter:
acquiring the change rate of the current first parameter and the change rate of the second parameter;
judging whether one of the change rate of the first parameter and the change rate of the second parameter meets a preset threshold range or not so as to configure a feedback element to execute different feedbacks;
the acquisition module further comprises a preprocessing unit configured to preprocess the current physiological parameters acquired by the acquisition module; wherein the preprocessing comprises high-pass filtering processing and notching processing.
The invention also provides a wearable device, as shown in fig. 7, comprising a device body for monitoring physiological parameters of a wearer, wherein the device body comprises a data processing system of the wearable device; the wearable clothes, the acquisition assembly and the data processing module are also included;
the wearable clothes comprises a wearable clothes body, a collecting assembly and a control module, wherein the collecting assembly is internally integrated with the collecting module, is embedded in the wearable clothes body and is used for collecting one or more of electrocardiosignals, electroencephalogram signals and electro-oculogram signals of a wearer;
the data processing module comprises the judging module and a feedback module;
the data processing module is integrated on the mobile device to perform data processing on the physiological parameters of the wearer acquired by the acquisition assembly and feed back a processing result to the wearer. The collecting component comprises a first electrode plate 210, a second electrode plate 230 and a reference electrode plate 220 which are used for collecting electroencephalogram signals and electro-oculogram signals, the first electrode plate 210, the second electrode plate 230 and the reference electrode plate 220 are respectively embedded in the inner side of the hat 20, and after a driver wears the hat, the first electrode plate 210, the second electrode plate 230 and the reference electrode plate 220 are attached to the forehead of the driver and collect the electroencephalogram signals and the electro-oculogram signals.
The electrocardio acquisition component 110 is embedded in clothes worn by a driver, such as a vest, and the electrocardio acquisition component 110 is positioned near the heart of the driver after the vest is worn by the driver so as to acquire electrocardiosignals of the driver.
It should be noted that: utilize the NFC chip to carry out data transmission, inlay the NFC chip in the wearing person clothing and need not to provide power supply unit, so greatly reduced inlay the volume of the collection subassembly in the wearing person clothing, improve wearing person's travelling comfort. While the use of other data transmission devices requires the provision of power supply devices such as: bluetooth.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner; those skilled in the art can readily practice the invention as shown and described in the drawings and detailed description herein; however, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the scope of the invention as defined by the appended claims; meanwhile, any changes, modifications, and evolutions of the equivalent changes of the above embodiments according to the actual techniques of the present invention are still within the protection scope of the technical solution of the present invention.
Claims (10)
1. The data processing method of the wearable device is characterized by comprising the following steps:
acquiring the current physiological parameters of the wearer acquired by an acquisition module;
performing data judgment on the acquired current physiological parameters;
configuring a feedback element to form feedback to the wearer based on the data determination.
2. The data processing method of the wearable device according to claim 1, wherein in the step of performing data determination on the acquired current physiological parameter, the method further comprises:
and judging the preset parameter threshold range matched with the current physiological parameter so as to configure a feedback element to execute corresponding feedback.
3. The data processing method of the wearable device according to claim 2, wherein when the acquired current physiological parameter is determined to be within the preset parameter threshold, the method further comprises:
obtaining the change rate of the current physiological parameter;
when the change rate of the current physiological parameter is within a preset threshold range, configuring a feedback element to execute first feedback;
when the change rate of the current physiological parameter is larger than a preset threshold range, configuring a feedback element to execute second feedback;
and when the change rate of the current physiological parameter is smaller than a preset threshold range, configuring a feedback element to execute third feedback.
4. The data processing method of the wearable device according to claim 1, wherein in the step of performing data determination on the acquired current physiological parameter, the method further comprises:
when the current physiological parameter at least comprises a first parameter and a second parameter:
acquiring the change rate of the current first parameter and the change rate of the second parameter;
and judging whether one of the change rate of the first parameter and the change rate of the second parameter meets a preset threshold range or not so as to configure a feedback element to execute different feedbacks.
5. The data processing method of the wearable device according to claim 1, wherein the current physiological parameter acquired by the acquisition module is preprocessed; wherein the preprocessing comprises high-pass filtering processing and notching processing.
6. The data processing method of the wearable device according to any one of claims 1 to 5, wherein the acquired current physiological parameter comprises: one or more of electroencephalogram signals, electro-oculogram signals and electrocardiosignals.
7. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program is executed by a processor for performing the method according to any one of claims 1-5.
8. The data processing system of the wearable equipment is characterized by comprising an acquisition module, a judgment module and a feedback module; wherein,
the acquisition module is configured to acquire the current physiological parameters of the wearer acquired by the acquisition module;
the judging module is configured to perform data judgment on the acquired current physiological parameter;
the feedback module is configured to configure the feedback element to form feedback to the wearer according to the data determination.
9. The data processing system of the wearable device of claim 8, wherein the determination module comprises a first determination unit, a second determination unit, a third determination unit; wherein,
the first judging unit is configured to judge a preset parameter threshold range matched with the current physiological parameter so as to configure a feedback element to execute corresponding feedback;
the second judgment unit acquires the change rate of the current physiological parameter;
when the change rate of the current physiological parameter is within a preset threshold range, configuring a feedback element to execute first feedback;
when the change rate of the current physiological parameter is larger than a preset threshold range, configuring a feedback element to execute second feedback;
when the change rate of the current physiological parameter is smaller than a preset threshold range, configuring a feedback element to execute third feedback;
the third judging unit is configured to, when the current physiological parameter at least includes a first parameter and a second parameter:
acquiring the change rate of the current first parameter and the change rate of the second parameter;
judging whether one of the change rate of the first parameter and the change rate of the second parameter meets a preset threshold range or not so as to configure a feedback element to execute different feedbacks;
the acquisition module further comprises a preprocessing unit configured to preprocess the current physiological parameters acquired by the acquisition module; wherein the preprocessing comprises high-pass filtering processing and notching processing.
10. Wearable device comprising a device body for monitoring a physiological parameter of a wearer, characterized in that the device body comprises a data processing system of the wearable device according to any of claims 8-9; the wearable clothes, the acquisition assembly and the data processing module are also included;
the wearable clothes comprises a wearable clothes body, a collecting assembly and a control module, wherein the collecting assembly is internally integrated with the collecting module, is embedded in the wearable clothes body and is used for collecting one or more of electrocardiosignals, electroencephalogram signals and electro-oculogram signals of a wearer;
the data processing module comprises the judging module and a feedback module;
the data processing module is integrated on the mobile device to perform data processing on the physiological parameters of the wearer acquired by the acquisition assembly and feed back a processing result to the wearer.
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