CN219763346U - Cerebral apoplexy early warning and illness state real-time monitoring device - Google Patents
Cerebral apoplexy early warning and illness state real-time monitoring device Download PDFInfo
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- CN219763346U CN219763346U CN202221211350.9U CN202221211350U CN219763346U CN 219763346 U CN219763346 U CN 219763346U CN 202221211350 U CN202221211350 U CN 202221211350U CN 219763346 U CN219763346 U CN 219763346U
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- 208000006011 Stroke Diseases 0.000 title claims abstract description 77
- 206010008190 Cerebrovascular accident Diseases 0.000 title claims abstract description 67
- 230000002490 cerebral effect Effects 0.000 title claims abstract description 65
- 238000012806 monitoring device Methods 0.000 title claims abstract description 17
- 230000000638 stimulation Effects 0.000 claims abstract description 31
- 208000024891 symptom Diseases 0.000 claims abstract description 20
- 206010028372 Muscular weakness Diseases 0.000 claims abstract description 16
- 210000003205 muscle Anatomy 0.000 claims description 24
- 208000010428 Muscle Weakness Diseases 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 11
- 230000003183 myoelectrical effect Effects 0.000 claims description 7
- 210000003141 lower extremity Anatomy 0.000 claims description 6
- 210000001364 upper extremity Anatomy 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 4
- 210000004556 brain Anatomy 0.000 claims 9
- 238000000034 method Methods 0.000 abstract description 8
- 230000008569 process Effects 0.000 abstract description 5
- 230000036473 myasthenia Effects 0.000 abstract description 4
- 238000011282 treatment Methods 0.000 description 16
- 230000000694 effects Effects 0.000 description 14
- 238000012544 monitoring process Methods 0.000 description 14
- 206010033799 Paralysis Diseases 0.000 description 6
- 201000010099 disease Diseases 0.000 description 5
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000013461 design Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 206010019468 Hemiplegia Diseases 0.000 description 3
- 201000007201 aphasia Diseases 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 210000003414 extremity Anatomy 0.000 description 3
- 238000001990 intravenous administration Methods 0.000 description 3
- 238000011084 recovery Methods 0.000 description 3
- 230000035945 sensitivity Effects 0.000 description 3
- 230000002537 thrombolytic effect Effects 0.000 description 3
- 230000002146 bilateral effect Effects 0.000 description 2
- 208000015114 central nervous system disease Diseases 0.000 description 2
- 206010008118 cerebral infarction Diseases 0.000 description 2
- 208000026106 cerebrovascular disease Diseases 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000001225 therapeutic effect Effects 0.000 description 2
- 230000001154 acute effect Effects 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 210000001097 facial muscle Anatomy 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 208000027905 limb weakness Diseases 0.000 description 1
- 231100000861 limb weakness Toxicity 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000020470 nervous system symptom Diseases 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 230000012191 relaxation of muscle Effects 0.000 description 1
- 208000019116 sleep disease Diseases 0.000 description 1
- 230000003860 sleep quality Effects 0.000 description 1
- 230000002792 vascular Effects 0.000 description 1
- 230000002747 voluntary effect Effects 0.000 description 1
Abstract
The utility model discloses a cerebral apoplexy early warning and illness state real-time monitoring device, which comprises a data acquisition module, a control module, a server side and a mobile side; the data acquisition module comprises a plurality of data acquisition devices, and each pair of data acquisition devices is correspondingly arranged on two sides of a human body; each data acquisition device comprises an acquisition element and an electric stimulation element, wherein the acquisition element is used for acquiring surface electromyographic signals, and the electric stimulation element can release electric stimulation; the control module is electrically connected with each data acquisition device of the data acquisition module and the server end; the control module receives the surface electromyographic signal data of the data acquisition module and transmits the surface electromyographic signal data to the server side, and judges whether to control the electric stimulation element to release electric stimulation according to the data; the server side analyzes and processes the received data, evaluates whether a patient has new myasthenia symptoms and whether the original myasthenia symptoms are aggravated, and judges whether early warning information is sent; the mobile terminal is electrically connected with the server terminal and is used for receiving the early warning information of the server terminal.
Description
Technical Field
The utility model relates to the field of medical equipment, in particular to a cerebral apoplexy early warning and illness state real-time monitoring device.
Background
Cerebral apoplexy is a central nervous system disease with the characteristics of high incidence rate, high mortality rate, high disability rate and high recurrence rate, and once the central nervous system disease occurs, serious adverse effects are generated on the patient himself, the family and society of the patient. The occurrence of cerebral apoplexy has the characteristics of burst and difficult predictability, and the existing cerebral apoplexy treatment system emphasizes early detection and early treatment of cerebral apoplexy as the key for saving the life of patients and reducing the disability of the patients. In the acute phase of stroke, which is generally considered to be about 1 week after onset, a high risk period in which the progress of the disease is increased, it is necessary to closely monitor the nervous system symptoms and signs of the patient, particularly the symptoms of muscle weakness, and it is also necessary to identify and perform urgent treatment early in the patient who has the progress of muscle weakness. However, at present, there is still a lack of effective early warning means for the high risk group of cerebral apoplexy and real-time monitoring means for the condition of the inpatient cerebral apoplexy.
At present, the treatment system of the cerebral apoplexy patient emphasizes that the cerebral apoplexy patient is identified in early stage by observing the symptoms such as facial distortion, limb weakness, unclear speech and the like of the patient or witness, but the passive identification mode still has obvious defects. For example: for cerebral apoplexy patients with attack during night sleep, cerebral apoplexy patients with attack witness lack, cerebral apoplexy patients without attention of the witness or witness, cerebral apoplexy patients with symptoms such as complete aphasia, severe hemiplegia, consciousness disturbance and the like, which cannot be identified and treated early, and a doctor receiving the diagnosis cannot obtain accurate attack time of the patients, which seriously affects the determination of intravenous thrombolysis treatment time window and intravascular intervention treatment time window.
At present, the condition observation of the cerebral apoplexy inpatients is completed through the accompanying observation of the patients and the regular ward-round evaluation of medical staff, and the mode has the defect. First, the patient himself or herself or careless may miss the time at which the patient symptoms appear and exacerbate begins, causing delays in subsequent treatments. Secondly, the patients cannot be accurately observed after sleeping at night, and the patients can be reminded to be matched with the night medical care inspection to complete the disease assessment, so that the night sleep quality of the patients is seriously affected, and the recovery of diseases is not facilitated.
Disclosure of Invention
The utility model aims to provide a cerebral apoplexy early warning and illness state real-time monitoring device which can effectively early warn a new cerebral apoplexy patient, and can monitor the illness state of an inpatient cerebral apoplexy patient in real time so as to remind accompanying personnel, medical staff and the like to take treatment measures in time, and has the advantages of wide application and capability of effectively improving the timeliness of treatment of cerebral apoplexy patients.
In order to achieve the above object, the solution of the present utility model is:
a cerebral apoplexy early warning and illness state real-time monitoring device comprises a data acquisition module, a control module, a server end and at least one mobile end;
the data acquisition module comprises a plurality of data acquisition devices, and each pair of data acquisition devices is correspondingly arranged on two sides of a human body;
each data acquisition device comprises an acquisition element and an electric stimulation element, wherein the acquisition element is used for acquiring surface electromyographic signals of a patient, and the electric stimulation element can release electric stimulation to local skin muscles;
the control module is electrically connected with each data acquisition device of the data acquisition module and the server end;
the control module receives the surface electromyographic signals of the data acquisition module, processes the surface electromyographic signal data, transmits the surface electromyographic signal data to the server, and judges whether to control the electric stimulation element to release electric stimulation according to the numerical value of the surface electromyographic signal data;
the server side analyzes and processes according to the received surface electromyographic signal data, evaluates whether a patient has new muscle weakness symptoms caused by cerebral apoplexy and whether the original muscle weakness symptoms are aggravated after cerebral apoplexy, and judges whether early warning information is sent;
the mobile terminal is electrically connected with the server terminal and is used for receiving the early warning information of the server terminal.
Further, each data acquisition device is a patch type and is attached to different positions on the skin surface of a human body.
Further, the data acquisition device is provided with five pairs which are respectively attached to the cheek parts at two sides, the far and near ends of the upper limbs and the far and near ends of the lower limbs.
Further, the control module comprises a converter and a stimulator which are electrically connected with each other, the converter is electrically connected with the acquisition elements of each data acquisition device so as to collect surface myoelectric signals acquired by the acquisition elements of the data acquisition devices and process the surface myoelectric signal data, then the surface myoelectric signal data are transmitted to the server end and the stimulator, the stimulator is electrically connected with the electric stimulation elements of each data acquisition device, and whether the electric stimulation elements send out electric stimulation is controlled according to the data acquired by the converter;
further, the electrical connection adopts a wireless transmission or wired connection mode.
Further, the data acquisition device and the control module are both provided with wireless transmission modules.
Further, the wireless transmission module is a Bluetooth module.
Further, the server side is a computer or cloud server.
Further, the mobile terminal is a mobile phone, intelligent wearing equipment, patient accompanying equipment, family doctor terminal equipment or main medical care terminal equipment.
Further, the mobile terminal can read the data recorded by the server terminal.
After the technical scheme is adopted, the acquisition part and the stimulation part of the data acquisition device are utilized to realize all-weather uninterrupted real-time monitoring, and then the monitored data are analyzed and processed according to the server, so that the early recognition early warning can be effectively carried out on the muscle weakness symptoms caused by cerebral apoplexy of the cerebral apoplexy high-risk population, the real-time monitoring can be carried out on the muscle weakness symptoms of the cerebral apoplexy patients in hospital, and the defect that the condition change cannot be timely and accurately recognized by the conventional passive recognition measures such as patient accompanying observation and regular ward inspection of medical staff is overcome.
The utility model also has the following advantages.
1) The applicable crowd is extensive:
a. the device can be used for early warning of cerebral apoplexy of the crowd with high risk of the extrahospital cerebral apoplexy, can synchronously send the signal analysis result acquired by the device to the accompanying end of a patient and equipment of a family doctor, and realizes early recognition of the extrahospital cerebral apoplexy.
b. The device can be used for early warning of cerebral apoplexy of high risk crowd of cerebral apoplexy in hospital, can send the signal analysis result that the device gathered to patient accompanying end, the equipment of the medical care end of person in charge in step, realize the early discernment of cerebral apoplexy in hospital.
c. The device can be used for monitoring the condition of a cerebral apoplexy inpatient in real time, and can timely identify and early warn to remind medical staff to timely take therapeutic measures when the symptoms of muscle weakness caused by the original cerebral apoplexy are aggravated or the symptoms of muscle weakness caused by the new cerebral apoplexy appear by collecting surface myoelectricity information of the cerebral apoplexy inpatient when the cerebral apoplexy inpatient is admitted as basic reference data.
2) The application scene is wide:
a. when the device is used in daytime and during activities, the wireless Bluetooth design can be adopted, the comfort level of a patient is improved, and the cerebral apoplexy patient lacking a disease-causing witness can be timely subjected to medical assistance by the cerebral apoplexy patient which is ill with symptoms such as complete aphasia, severe hemiplegia, consciousness disturbance and the like and cannot actively seek help.
b. When the device is used for sleeping at night, a wired connection design can be adopted, so that the monitoring sensitivity is improved, and the occurrence of missing report and false report conditions is avoided.
3) For patients with daytime apoplexy and cerebral apoplexy after night awakening with uncertain attack time, specific attack time can be definitely determined through the data of the patients at the back-tracing server side and the time of changing the surface electromyographic signals, so that the determination of the intravenous thrombolysis treatment time window and the intravascular interventional treatment time window of the cerebral infarction patients is guided, and the accuracy and the safety of cerebral vascular recanalization treatment are improved.
4) For the cerebral apoplexy inpatients who need to closely observe the illness state at night, the patients do not need to be frequently awakened at night to check the muscle strength, so that the night rest of the patients can be fully ensured, and the recovery of the illness of the patients is facilitated.
Drawings
FIG. 1 is a block diagram of an embodiment of the present utility model;
FIG. 2 is a block diagram of a data acquisition device according to an embodiment of the present utility model;
FIG. 3 is a schematic diagram of an embodiment of the present utility model, in which a data acquisition device is electrically connected to a control module by a wired connection;
fig. 4 is a schematic diagram of an embodiment of the present utility model, where the data acquisition device is electrically connected to the control module by adopting a wireless transmission manner.
Symbol description:
cerebral apoplexy early warning and illness state real-time monitoring device 100
Data acquisition module 10
Control module 20
Server side 30
Mobile terminal 40
Data acquisition device 11
Acquisition element 111
Electrical stimulation element 112
Converter 21
A stimulator 22.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present utility model more apparent, the technical solutions of the embodiments of the present utility model will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present utility model, and it is apparent that the described embodiments are some embodiments of the present utility model, but not all embodiments of the present utility model. The components of the embodiments of the present utility model generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the utility model, as presented in the figures, is not intended to limit the scope of the utility model, as claimed, but is merely representative of selected embodiments of the utility model. All other embodiments, which can be made by those skilled in the art based on the embodiments of the utility model without making any inventive effort, are intended to be within the scope of the utility model.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the embodiments of the present utility model, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically connected, electrically connected or can be communicated with each other; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the present utility model will be understood in specific cases by those of ordinary skill in the art.
As shown in fig. 1 to 4, the device 100 for pre-warning and real-time monitoring of cerebral apoplexy according to the present utility model includes a data acquisition module 10, a control module 20, a server 30 and a plurality of mobile terminals 40.
The data acquisition module 10 comprises a plurality of data acquisition devices 11, and each data acquisition device 11 is a patch type and can be attached to different positions on the skin surface of a human body. In the present embodiment, five pairs of ten data collection devices 11 are provided, but the number is not limited to this, and the five pairs of data collection devices 11 are respectively attached to the skin of the muscles at the two side cheek parts, the two upper limbs distal and proximal ends, and the two lower limbs distal and proximal ends (as shown in fig. 3).
Each data acquisition device 11 includes an acquisition element 111 and an electrical stimulation element 112, wherein the acquisition element 111 is used for acquiring surface electromyographic signals of facial muscles, proximal ends of limbs and distal ends of muscles of a patient, and the electrical stimulation element 112 can release electrical stimulation to local skin muscles so as to stimulate the muscles of the patient who is relaxed at night or during rest to perform activities, so that the acquisition element 111 is convenient for acquiring the surface electromyographic signals.
The control module 20 is electrically connected to each data acquisition device 11 and the server 30 of the data acquisition module 10, the control module 20 includes a converter 21 and a stimulator 22 electrically connected to each other, the converter 21 is electrically connected to the acquisition element 111 of each data acquisition device 11, so as to collect surface electromyographic signals acquired by the acquisition element 111 of the data acquisition device 11 and process the surface electromyographic signal data, and then the surface electromyographic signal data are transmitted to the server 30 and the stimulator 22, the stimulator 22 is electrically connected to the electrical stimulation element 112 of each data acquisition device 11, and whether the electrical stimulation element 112 emits electrical stimulation is controlled according to the surface electromyographic signal data acquired by the converter 21.
The server 30 performs analysis and comparison processing according to the received surface electromyographic signal data, so as to determine whether the patient has new symptoms of muscle weakness caused by cerebral apoplexy and whether the symptoms of muscle weakness after the original cerebral apoplexy are aggravated, determine whether to send out early warning information, and record the changing time of the corresponding surface electromyographic signal at the same time, so as to assist the subsequent treatment.
The mobile terminal 40 is electrically connected to the server terminal 30, and is configured to receive the early warning information of the server terminal 30, or is configured to access the server terminal 30, read corresponding surface electromyographic signal data, change time of the surface electromyographic signal, and so on. The server 30 may be a computer or a cloud server, and the mobile terminal 40 may be a mobile phone, an intelligent wearable device, a patient accompanying device, a home doctor device, or the like.
Referring to fig. 3 and 4, the electrical connection may be a wireless transmission or a wired connection; the data acquisition device 11 may be electrically connected to the control module 20 by means of wireless transmission or wired connection; when wireless transmission is adopted, a wireless transmission module, such as a bluetooth module, can be additionally arranged on the data acquisition device 11 and the control module 20, so that the cerebral apoplexy early warning and illness state real-time monitoring device 100 can be arranged in a portable close-fitting manner, the daily activities of patients are not affected, and the device is suitable for patients outside hospitals to perform preventive monitoring by themselves; when the wired connection is adopted, the intelligent monitoring system is suitable for patients with inconvenient actions in hospitals or sleeping at night, can improve the sensitivity of monitoring, and avoids the occurrence of missing report and false report.
The above is a basic composition of the device 100 for pre-warning and real-time monitoring of cerebral apoplexy, and the specific usage procedure of the device is described below.
1. First, each data acquisition device 11 is respectively attached to the muscle skin of the far and near ends of the cheek parts and the upper and lower limbs, and the surface electromyographic signals of different parts of the body are acquired for the first time (daytime and nighttime) by using the acquisition elements 111 in the data acquisition device 11, and the acquired surface electromyographic signals are used as basic surface electromyographic signal data in the daytime and nighttime for comparison.
Surface electromyographic signal data: a. collecting myoelectricity information of the muscle surfaces of the two sides; b. collecting myoelectricity information of the surface of the near-end muscle of the upper limb; c. collecting myoelectricity information of the surface of the muscle at the far end of the upper limb; d. collecting myoelectricity information of the surface of the proximal muscle of the lower limb; e. and collecting myoelectricity information of the surface of the muscle at the far end of the lower limb.
2. The data acquisition device 11 acquires surface electromyographic signals at regular time, transmits the acquired surface electromyographic signals to the converter 21 of the control module 20 in a wireless or wired mode, integrates the collected surface electromyographic signals by the converter 21, converts the collected surface electromyographic signals into corresponding surface electromyographic signal data, and transmits the corresponding surface electromyographic signal data to the server side 30 for comparison.
The surface electromyographic signal data of the muscle at the corresponding position is continuously collected and compared with the basic surface electromyographic signal data collected for the first time to judge the activity of the muscle, and if the muscle is partially or completely paralyzed, the paralyzed side muscle can have partial or obvious reduction of the electric signal relative to the basic surface electromyographic signal data and the electric signal collected by the opposite normal side limb.
Due to the great amount of voluntary activity of the patient during the daytime, the signal difference on both sides will be obvious once the muscle on one side is paralyzed.
At night, the basic electric activity is reduced on both sides due to the relaxation of muscles of the whole body, and the electric activity reduction caused by mild muscle paralysis can not be sensitively identified, and the alarm is easy to leak or be mistaken. At this time, if the acquisition element 111 in the data acquisition device 11 acquires a change in the electrical activity with little difference between the bilateral muscles, or the bilateral surface electromyographic signals are low, the effective electrical signals cannot be detected; the stimulator 22 electrically connected to the transducer 21 is activated to control the electrical stimulation element 112 in the data acquisition device 11 to cause local discomfort to the patient (not to be so strong as not to wake up the patient at night) by generating electrical stimulation. Due to the instinctive reaction of the body, the patient may develop movements that mobilize local muscles (e.g., active face, limbs, etc.). Because the electric activity generated after the muscle activity of the healthy side is larger than that of the paralyzed side, the electric activity of the muscle of the healthy side is obviously increased by the acquisition element 111 in the data acquisition device 11, and the difference is larger by comparing the electric activity with the electric activity of the paralyzed side, so that the night normal monitoring is realized, and the sleeping quality of a patient is not influenced.
3. The server 30 analyzes and evaluates the information, and the evaluation result is displayed on a computer display screen through a popup frame reminding method, an information pushing method and the like and/or transmitted to the mobile terminal 40, so that medical staff, accompanying staff or family members can be timely reminded to check the condition of the patient, and the change of the patient condition is discovered at the first time.
In summary, the device 100 for early warning and real-time monitoring of cerebral apoplexy has the following advantages:
1) The applicable crowd is extensive:
a. the device can be used for early warning of cerebral apoplexy of the crowd with high risk of the extrahospital cerebral apoplexy, can synchronously send the signal analysis result acquired by the device to the accompanying end of a patient and equipment of a family doctor, and realizes early recognition of the extrahospital cerebral apoplexy.
b. The device can be used for early warning of cerebral apoplexy of high risk crowd of cerebral apoplexy in hospital, can send the signal analysis result that the device gathered to patient accompanying end, the equipment of the medical care end of person in charge in step, realize the early discernment of cerebral apoplexy in hospital.
c. The device can be used for the condition monitoring of cerebral apoplexy inpatients, and can timely identify and early warn to remind medical staff to timely take therapeutic measures when the original cerebral apoplexy myasthenia symptoms aggravate or the new myasthenia symptoms appear by collecting the surface myoelectricity information of the cerebral apoplexy patients when the cerebral apoplexy patients are admitted as basic reference data.
2) The application scene is wide:
a. when the device is used in daytime and during activities, the wireless Bluetooth design can be adopted, the comfort level of a patient is improved, and the cerebral apoplexy patient lacking a disease-causing witness can be timely subjected to medical assistance by the cerebral apoplexy patient which is ill with symptoms such as complete aphasia, severe hemiplegia, consciousness disturbance and the like and cannot actively seek help.
b. When the device is used for sleeping at night, a wired connection design can be adopted, so that the monitoring sensitivity is improved, and the occurrence of missing report and false report conditions is avoided.
3) For patients with daytime apoplexy and night post-waking apoplexy with uncertain attack time, specific attack time can be definitely determined through the data of the patients at the backtracking server end 30 and the time of changing the surface electromyographic signals, so that the determination of the intravenous thrombolysis treatment time window and the intravascular interventional treatment time window of the cerebral infarction patients is guided, and the accuracy and the safety of cerebrovascular recanalization treatment are improved.
4) For the cerebral apoplexy inpatients who need to closely observe the illness state at night, the patients do not need to be frequently awakened at night to check the muscle strength, so that the night rest of the patients can be fully ensured, and the recovery of the illness of the patients is facilitated.
The above description is only a preferred embodiment of the present utility model, and the protection scope of the present utility model is not limited to the above examples, and all technical solutions belonging to the concept of the present utility model belong to the protection scope of the present utility model. It should be noted that equivalent changes and modifications can be made by those skilled in the art without departing from the principles of the present utility model, which still falls within the scope of the present utility model.
Claims (10)
1. Cerebral apoplexy early warning and state of an illness real-time supervision device, its characterized in that: the system comprises a data acquisition module, a control module, a server end and at least one mobile end;
the data acquisition module comprises a plurality of pairs of data acquisition devices, and each pair of data acquisition devices is correspondingly arranged on two sides of a human body of a patient;
each data acquisition device comprises an acquisition element and an electric stimulation element, wherein the acquisition element is used for acquiring surface electromyographic signals of a patient, and the electric stimulation element is used for releasing electric stimulation to local skin muscles;
the control module is electrically connected with each data acquisition device of the data acquisition module and the server end;
the control module is used for receiving the surface electromyographic signals of the data acquisition module, processing the surface electromyographic signal data, transmitting the processed surface electromyographic signal data to the server, and controlling the electric stimulation element to release electric stimulation according to the numerical value of the surface electromyographic signal data;
the server side is used for receiving, analyzing and processing surface electromyographic signal data, and evaluating whether a patient has new muscle weakness symptoms caused by cerebral apoplexy and whether the original muscle weakness symptoms are aggravated or not so as to send out early warning information;
the mobile terminal is electrically connected with the server terminal and is used for receiving early warning information of the server terminal.
2. The brain stroke pre-warning and condition real-time monitoring device according to claim 1, wherein: each data acquisition device is a patch type and is attached to different positions on the skin surface of a human body.
3. The brain stroke pre-warning and condition real-time monitoring device according to claim 2, wherein: the data acquisition device is provided with five pairs which are respectively attached to the cheek parts at two sides, the far and near ends of the upper limbs and the far and near ends of the lower limbs.
4. The brain stroke pre-warning and condition real-time monitoring device according to claim 1, wherein: the control module comprises a converter and a stimulator which are electrically connected with each other, wherein the converter is electrically connected with the acquisition elements of the data acquisition devices, is used for collecting surface myoelectric signals acquired by the acquisition elements of the data acquisition devices and processing the surface myoelectric signal data, and is used for transmitting the surface myoelectric signal data to the server end and the stimulator, and the stimulator is electrically connected with the electric stimulation elements of the data acquisition devices and is used for controlling the electric stimulation elements to send electric stimulation according to the surface myoelectric signal data acquired by the converter.
5. The brain stroke pre-warning and condition real-time monitoring device according to claim 1, wherein: the electric connection adopts a wireless transmission or wired connection mode.
6. The brain stroke pre-warning and condition real-time monitoring device according to claim 1, wherein: and the data acquisition device and the control module are respectively provided with a wireless transmission module.
7. The brain stroke warning and condition real-time monitoring device according to claim 6, wherein: the wireless transmission module is a Bluetooth module.
8. The brain stroke pre-warning and condition real-time monitoring device according to claim 1, wherein: the server side is a computer or cloud server.
9. The brain stroke pre-warning and condition real-time monitoring device according to claim 1, wherein: the mobile terminal is a mobile phone, intelligent wearing equipment, patient accompanying equipment, family doctor terminal equipment or main medical care terminal equipment.
10. The brain stroke pre-warning and condition real-time monitoring device according to claim 1, wherein: the mobile terminal can read the data recorded by the server terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202221211350.9U CN219763346U (en) | 2022-05-18 | 2022-05-18 | Cerebral apoplexy early warning and illness state real-time monitoring device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202221211350.9U CN219763346U (en) | 2022-05-18 | 2022-05-18 | Cerebral apoplexy early warning and illness state real-time monitoring device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN219763346U true CN219763346U (en) | 2023-09-29 |
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| CN202221211350.9U Active CN219763346U (en) | 2022-05-18 | 2022-05-18 | Cerebral apoplexy early warning and illness state real-time monitoring device |
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| Country | Link |
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| CN (1) | CN219763346U (en) |
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