CN111462449A - Night severe stroke monitoring and alarming system and method - Google Patents
Night severe stroke monitoring and alarming system and method Download PDFInfo
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- CN111462449A CN111462449A CN202010436634.7A CN202010436634A CN111462449A CN 111462449 A CN111462449 A CN 111462449A CN 202010436634 A CN202010436634 A CN 202010436634A CN 111462449 A CN111462449 A CN 111462449A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
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Abstract
The invention discloses a night severe stroke monitoring and alarming system and a method thereof, wherein the system comprises a body characteristic monitoring terminal, a server and an alarming terminal; the body characteristic monitoring terminal is used for acquiring body characteristic data of a first user; the server is in signal connection with the body characteristic monitoring terminal and is used for receiving and storing body characteristic data, judging whether the first user has no movement of the lateral limb according to the body characteristic data, if the lateral limb has no movement, preliminarily judging that the first user has severe stroke, and sending an alarm prompt to the alarm terminal; the alarm terminal is in signal connection with the server and is used for receiving the alarm prompt and starting an alarm signal to give an alarm to a second user. Whether the first user is suddenly suffered from severe cerebral apoplexy is predicted and monitored by respectively collecting the activity data of the left side and the right side of the body of the first user when the first user sleeps at night, and an alarm signal is timely sent to the second user after the first user is preliminarily judged to be suddenly suffered from severe cerebral apoplexy.
Description
Technical Field
The invention relates to the technical field of health management, in particular to a night severe stroke monitoring and alarming system and method.
Background
In recent years, with the improvement of the living standard of people in China, the change of living habits and dietary structures leads the incidence of cerebrovascular diseases to be in an increasing trend. Stroke has now become the first cause of death in humans. The stroke has high disability and high mortality, and after the stroke occurs, the stroke has great influence on the health of human beings and the burden of families and socioeconomic people.
Cerebral apoplexy is divided into cerebral arterial thrombosis and hemorrhagic cerebral apoplexy, and the cerebral arterial thrombosis is cerebral infarction and accounts for 60 to 70 percent of the population of patients with cerebral arterial thrombosis. Acute ischemic stroke is a cerebral ischemic symptom caused by sudden occlusion or hypoperfusion of cerebral vessels, and can be manifested as hemiplegia, slurred speech, dizziness, hemianesthesia and the like. After the acute ischemic stroke occurs, brain cells are not necrotized immediately but undergo a process of central necrosis area-complete ischemia-brain cell death, wherein ischemic but non-necrotic brain tissues are called ischemic penumbra, and the core of ultra-early treatment of acute cerebral infarction is to strive for seconds to save the ischemic penumbra, so that the disability rate and the death rate of patients with acute ischemic stroke can be greatly reduced. After acute ischemic stroke occurs, about 190 ten thousand brain cells are necrosed per minute, according to international guidelines, the current treatment time window of venous rtPA thrombolysis is 3-4.5h after stroke occurs, and the time window of emergency endovascular interventional operation treatment is 6-24h (strict CTP is used for evaluating the content of ischemic penumbra in brain). Therefore, the existing time for treating acute ischemic stroke is the gold rescue time window of the brain.
After the cerebral apoplexy occurs, the patient often loses the autonomous help calling capability, so that a plurality of patients suffering from the cerebral apoplexy at night are sent to an emergency treatment, the 'gold rescue time window' is exceeded, effective vascular opening treatment cannot be achieved, and the patient is disabled or even dies. After severe stroke occurs, the movement of the limbs on the side is often disabled, and the possibility is provided for detecting the occurrence of stroke at night in time by detecting and researching the characteristics of the movement of the limbs on the side at night.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a night severe stroke monitoring and alarming system and method, which can timely find a severe stroke patient who possibly breaks out in sleep at night, and timely remind a guardian of paying attention, so that the severe stroke patient can be timely sent to a doctor for medical treatment.
A night severe stroke monitoring and alarming system comprises: the system comprises a body characteristic monitoring terminal, a server and an alarm terminal;
the body feature monitoring terminal is used for acquiring body feature data of a first user, wherein the body feature data comprises body left side activity data and body right side activity data;
the server is in signal connection with the body feature monitoring terminal and is used for receiving and storing the body feature data, judging whether a first user has no movement of a lateral limb according to the body feature data, if the lateral limb has no movement, preliminarily judging that the first user has severe cerebral apoplexy, and sending an alarm prompt to the alarm terminal;
and the alarm terminal is in signal connection with the server and is used for receiving the alarm prompt and starting an alarm signal to alarm a second user.
Further, the determining whether the first user has no movement of the lateral limb according to the volume feature data includes:
and in a preset time, if the next body left side activity data or body right side activity data is not received, determining that the first user has no activity on the side limb.
Further, the preset time is 30 minutes to 60 minutes.
Further, the body characteristic monitoring terminal comprises a plurality of monitoring units, the monitoring units are respectively worn on the limbs of the first user, and the monitoring units are used for collecting activity data of the limbs of the first user.
Further, the monitoring unit comprises a first mounting box and a fixing band connected to the first mounting box, a first power supply and a first integrated circuit board are arranged in the first mounting box, and an acceleration sensor, a first microprocessor and a first wireless network module are integrated on the first integrated circuit board.
Further, the first power supply is a rechargeable lithium battery.
Further, the alarm terminal comprises a second mounting box, a second power supply and a second integrated circuit board are arranged in the second mounting box, and a second wireless network module, a second microprocessor and an alarm are integrated on the second integrated circuit board.
Further, the alarm is a buzzer, a vibrating motor and/or a flashlight.
On the other hand, the invention also provides a method for monitoring and alarming the severe stroke at night, which is applied to the server in the system for monitoring and alarming the severe stroke at night, and comprises the following steps:
receiving and storing body feature data of a first user, which are sent by a body feature monitoring terminal, wherein the body feature data comprise body left side activity data and body right side activity data;
within a preset time, if the next body left side activity data or body right side activity data is not received, determining that the first user has no activity on the lateral limb, and if the first user has no activity on the lateral limb, preliminarily judging that the first user has severe stroke;
and sending an alarm prompt to an alarm terminal.
Further, the preset time is 30 minutes to 60 minutes.
The invention has the beneficial effects that:
according to the night severe stroke monitoring and alarming system and method, whether a first user has severe stroke or not is preliminarily judged by respectively collecting the activity data of the left side and the right side of the body of the first user when the first user sleeps at night, and an alarming signal is timely sent to a second user after the first user is preliminarily judged to have severe stroke, so that the second user can conveniently confirm the physical condition of the first user in time, if the first user is further confirmed to have severe stroke, the first user can be timely sent to a hospital to see a doctor, the situation that a gold rescue time window is missed in the process of treating the stroke is avoided, and the disability rate and the death rate of a stroke patient are reduced.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a schematic structural diagram of a system of a night severe stroke monitoring and alarming system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a monitoring unit of a night severe stroke monitoring and alarming system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an alarm terminal of a night severe stroke monitoring and alarm system according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for monitoring and alarming night severe stroke according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
The severe stroke is sudden, and particularly, in the sleeping process at night, if a patient suddenly suffers from the severe stroke, no one at the side can take care of the stroke and find the stroke in time, the best time for seeing the stroke can be missed, and great life danger is brought to the patient. The invention aims to provide a night severe stroke monitoring and alarming system and method, which can timely find a severe stroke patient who possibly breaks out in sleep at night, and timely remind a guardian of paying attention, so that the severe stroke patient can be timely sent to a doctor for medical treatment.
As shown in fig. 1, the night severe stroke monitoring and alarming system of the present embodiment includes: the body characteristic monitoring system comprises a body characteristic monitoring terminal 100, a server 200 and an alarm terminal 300; the body feature monitoring terminal 100 is configured to collect body feature data of a first user, where the body feature data includes body left side activity data and body right side activity data; the server 200 is in signal connection with the body characteristic monitoring terminal 100 and is used for receiving and storing body characteristic data, judging whether the first user has no movement of the lateral limb according to the body characteristic data, if the lateral limb has no movement, preliminarily judging that the first user has severe cerebral apoplexy, and sending an alarm prompt to the alarm terminal 300; the alarm terminal 300 is in signal connection with the server 200, and is configured to receive an alarm prompt and start an alarm signal to alarm a second user.
Specifically, judging whether the first user has no movement of the lateral limb according to the body feature data includes:
and within the preset time, if the next body left side activity data or body right side activity data is not received, determining that the first user has no activity on the side-deviating limb. The preset time is 30 minutes to 60 minutes.
A normal adult will turn over about every 30-60 minutes while sleeping, i.e. if the first user in sleep has not had a severe stroke, his limbs will move about every 30-60 minutes. If the first user in sleep has severe stroke at a certain moment, the folk symptoms of 'hemiplegia', namely the upper and lower limbs, the facial muscles and the lower part of the tongue muscle on the same side have dyskinesia, so the upper and lower limbs on one side of the first user cannot move, and only the upper and lower limbs on the other side can move. The principle of the invention is to preliminarily judge whether the first user has sudden severe cerebral apoplexy during sleeping by respectively monitoring the activities of the upper limb and the lower limb of the first user at both sides during sleeping and remind the second user to further confirm.
The invention can be used for monitoring severe stroke of the old when sleeping, reminding children of the old to further confirm in time, sending a doctor to see a doctor in time and reducing disability rate and death rate of patients with severe stroke.
Specifically, the body characteristic monitoring terminal 100 includes a plurality of monitoring units, the plurality of monitoring units are respectively worn on limbs of the first user, and the monitoring units are configured to collect activity data of the limbs of the first user. As shown in fig. 2, the monitoring unit includes a first mounting box 101 and a fixing band 102 connected to the first mounting box 101, a first power supply 103 and a first integrated circuit board 104 are disposed in the first mounting box 101, and an acceleration sensor, a first microprocessor and a first wireless network module are integrated on the first integrated circuit board 104.
The securing strap 102 may be an elastic strap or any other strap suitable for wearing and securing on a limb of a human body.
When the four limbs of the human body move, the first mounting box 101 is driven to move together, so that the acceleration sensor in the first mounting box 101 is driven to move, an electric signal is output to the first microprocessor, and the first microprocessor receives the electric signal and sends one-time body left side activity data or body right side activity data to the server 200 through the first wireless network module.
In this embodiment, the left body activity data or the right body activity data is a trigger signal for triggering the server 200 to start timing once.
After receiving the trigger signal, the server 200 determines from which side of the human body the trigger signal originates, and starts timing the receiving time of the left-side body activity data and the receiving time of the right-side body activity data respectively until receiving the next left-side body activity data or right-side body activity data, and clears the timing time of the side and starts timing again. If the server 200 does not receive the next left body activity data or right body activity data within a preset time, for example, within 40 minutes, it is preliminarily determined that the first user has severe stroke, and an alarm prompt is sent to the alarm terminal 300.
In this embodiment, the first power supply 103 is a rechargeable lithium battery, which can be recharged for use.
Specifically, as shown in fig. 3, the alarm terminal 300 includes a second mounting box 301, a second power supply 302 and a second integrated circuit board 303 are disposed in the second mounting box 301, and the second power supply 302 is a rechargeable lithium battery. A second wireless network module, a second microprocessor and an alarm are integrated on the second integrated circuit board 303. The alarm is a buzzer, a vibrating motor and/or a flash lamp.
When the alarm terminal 300 receives the alarm prompt signal sent by the server 200 through the second wireless network module, the second microprocessor controls the alarm to start, for example, the buzzer starts to sound, the vibration motor starts to vibrate, and the flash lamp starts to flash, so as to alarm the second user. The second user further confirms the health of the first user in time after receiving the warning, if confirm that the first user suddenly has a severe stroke in sleep, call the ambulance in time, send the hospital to seek medical advice, avoid missing the best treatment time, reduce disability rate and mortality of the severe stroke patient.
Certainly, the second user can download a matched App through the mobile phone, the server 200 sends the alarm prompt to the mobile phone of the second user, and after the mobile phone receives the alarm prompt, the App starts the functions of sounding and vibrating of the mobile phone and can also alarm the second user in time.
On the other hand, as shown in fig. 4, an embodiment of the present invention further provides a method for monitoring and alarming severe stroke at night, which is applied to the server 200 in the above-mentioned system for monitoring and alarming severe stroke at night, and includes:
s1, receiving and storing the body characteristic data of the first user, which are sent by the body characteristic monitoring terminal 100, wherein the body characteristic data comprise body left side activity data and body right side activity data;
s2, in a preset time, if the next left body activity data or right body activity data is not received, determining that the first user has no activity on the lateral limb, and if the lateral limb has no activity, preliminarily determining that the first user has severe stroke;
and S3, sending an alarm prompt to the alarm terminal 300.
Further, the preset time is 30 minutes to 60 minutes.
In summary, the night severe stroke monitoring and alarming system and method of the invention predict and monitor whether the first user has sudden severe stroke by collecting the activity data of the left and right sides of the body of the first user when sleeping at night, and send out an alarm signal to the second user in time after preliminarily judging that the first user has sudden severe stroke, so that the second user can confirm the physical condition of the first user in time conveniently, and if the first user is confirmed to have sudden severe stroke, the first user can be sent to a hospital for medical treatment in time, thereby avoiding missing a gold rescue time window for stroke treatment, and reducing disability rate and death rate of patients with stroke.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. The utility model provides a severe stroke monitoring alarm system night which characterized in that includes: the system comprises a body characteristic monitoring terminal (100), a server (200) and an alarm terminal (300);
the body feature monitoring terminal (100) is used for acquiring body feature data of a first user, wherein the body feature data comprises body left side activity data and body right side activity data;
the server (200) is in signal connection with the body feature monitoring terminal (100) and is used for receiving and storing the body feature data, judging whether a first user has no movement of a lateral limb according to the body feature data, if the lateral limb has no movement, preliminarily judging that the first user has severe cerebral apoplexy, and sending an alarm prompt to the alarm terminal (300);
the alarm terminal (300) is in signal connection with the server (200) and is used for receiving the alarm prompt and starting an alarm signal to alarm a second user.
2. The night severe stroke monitoring and alarming system as claimed in claim 1, wherein the determining whether the first user has no lateral limb movement according to the body characteristic data comprises:
and in a preset time, if the next body left side activity data or body right side activity data is not received, determining that the first user has no activity on the side limb.
3. The night severe stroke monitoring and alarming system as claimed in claim 2, wherein the preset time is 30-60 minutes.
4. The night severe stroke monitoring and alarming system according to claim 1, wherein: the body characteristic monitoring terminal (100) comprises a plurality of monitoring units, the monitoring units are worn on four limbs of the first user respectively, and the monitoring units are used for collecting activity data of the four limbs of the first user.
5. The night severe stroke monitoring and alarming system according to claim 4, wherein: the monitoring unit comprises a first mounting box (101) and a fixing band (102) connected to the first mounting box (101), a first power supply (103) and a first integrated circuit board (104) are arranged in the first mounting box (101), and an acceleration sensor, a first microprocessor and a first wireless network module are integrated on the first integrated circuit board (104).
6. The night severe stroke monitoring and alarming system according to claim 5, wherein: the first power source (103) is a rechargeable lithium battery.
7. The night severe stroke monitoring and alarming system according to claim 1, wherein: alarm terminal (300) include second mounting box (301), be provided with second power (302) and second integrated circuit board (303) in second mounting box (301), it has second wireless network module, second microprocessor and alarm to integrate on second integrated circuit board (303).
8. The night severe stroke monitoring and alarming system according to claim 7, wherein: the alarm is a buzzer, a vibrating motor and/or a flash lamp.
9. A night severe stroke monitoring and alarming method is characterized in that: server (200) for use in a night intensive stroke monitoring and warning system according to any one of claims 1-8, comprising:
receiving and storing body feature data of a first user, which are sent by a body feature monitoring terminal (100), wherein the body feature data comprise body left side activity data and body right side activity data;
within a preset time, if the next body left side activity data or body right side activity data is not received, determining that the first user has no activity on the lateral limb, and if the first user has no activity on the lateral limb, preliminarily judging that the first user has severe stroke;
and sending an alarm prompt to the alarm terminal (300).
10. The method for monitoring and alarming night severe stroke as claimed in claim 9, wherein: the preset time is 30-60 minutes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202010436634.7A CN111462449A (en) | 2020-05-21 | 2020-05-21 | Night severe stroke monitoring and alarming system and method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010436634.7A CN111462449A (en) | 2020-05-21 | 2020-05-21 | Night severe stroke monitoring and alarming system and method |
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| CN111462449A true CN111462449A (en) | 2020-07-28 |
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| CN202010436634.7A Pending CN111462449A (en) | 2020-05-21 | 2020-05-21 | Night severe stroke monitoring and alarming system and method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101390135A (en) * | 2005-12-28 | 2009-03-18 | 益智科学（香港）有限公司 | Personal warning apparatus |
| CN202855026U (en) * | 2012-10-17 | 2013-04-03 | 山东中创软件工程股份有限公司 | Internet of things monitoring information system |
| US20150269825A1 (en) * | 2014-03-20 | 2015-09-24 | Bao Tran | Patient monitoring appliance |
| CN208077369U (en) * | 2018-05-10 | 2018-11-09 | 重庆医科大学附属口腔医院 | Cerebral apoplexy and sudden death warning device |
| CN110859608A (en) * | 2019-12-25 | 2020-03-06 | 长春工业大学 | Voice-controlled multifunctional old people health state monitoring terminal |
-
2020
- 2020-05-21 CN CN202010436634.7A patent/CN111462449A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101390135A (en) * | 2005-12-28 | 2009-03-18 | 益智科学（香港）有限公司 | Personal warning apparatus |
| CN202855026U (en) * | 2012-10-17 | 2013-04-03 | 山东中创软件工程股份有限公司 | Internet of things monitoring information system |
| US20150269825A1 (en) * | 2014-03-20 | 2015-09-24 | Bao Tran | Patient monitoring appliance |
| CN208077369U (en) * | 2018-05-10 | 2018-11-09 | 重庆医科大学附属口腔医院 | Cerebral apoplexy and sudden death warning device |
| CN110859608A (en) * | 2019-12-25 | 2020-03-06 | 长春工业大学 | Voice-controlled multifunctional old people health state monitoring terminal |
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