CN110720934A - Manic symptom monitoring and early warning system - Google Patents
Manic symptom monitoring and early warning system Download PDFInfo
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- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
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Abstract
The invention discloses a manic-depressive illness monitoring and early warning system which comprises sleep monitoring equipment, wearable recording equipment, image acquisition equipment and a remote server, wherein the sleep monitoring equipment, the wearable recording equipment and the image acquisition equipment are in wireless communication connection with the remote server respectively; the sleep monitoring equipment acquires sleep data of a patient, and the wearable recording equipment acquires voice data of the patient; the image acquisition equipment acquires the data of the four limbs movement and expression images of the patient; and the remote server judges whether the patient has mania according to the sleep duration data, the sleep starting point data, the voice data, the four-limb action image data and the expression image data. The invention can realize long-time continuous disease monitoring and has the advantages of high judgment accuracy and good early warning effect.
Description
Technical Field
The invention relates to the field of disease intelligent monitoring systems, in particular to a manic-depressive psychosis monitoring and early warning system.
Background
Mania is one of common mental diseases, and patients of mania often show certain aggressiveness and easily take adventure behaviors, so that the manic is easy to hurt themselves and endangers the safety of surrounding people. At present, the judgment of manic disorder needs manual work of medical staff with certain medical knowledge, and the long-time uninterrupted monitoring of manic disorder is difficult to realize.
The invention aims to provide a manic-depressive illness monitoring and early warning system to realize long-time uninterrupted monitoring of manic-depressive illness patients.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
the utility model provides a manic symptom monitoring and early warning system which characterized in that: the system comprises sleep monitoring equipment, wearable recording equipment, image acquisition equipment and a remote server, wherein the sleep monitoring equipment, the wearable recording equipment and the image acquisition equipment are in wireless communication connection with the remote server respectively; the sleep monitoring equipment acquires the sleep duration data of the patient and the corresponding sleep starting time point data, and respectively transmits the sleep duration data and the sleep starting time point data to the remote server; the wearable recording equipment is worn on the body of a patient, and acquires voice data of the patient and transmits the voice data to the remote server; the image acquisition equipment acquires the four-limb action image data and the expression image data of the patient and transmits the four-limb action image data and the expression image data to the remote server; and the remote server judges whether the patient has mania according to the sleep duration data, the sleep starting point data, the voice data, the four-limb action image data and the expression image data.
The manic-depressive psychosis monitoring and early warning system is characterized in that: the remote server compares the sleep starting time point data with a preset time point threshold, and if the sleep starting time point is earlier than the preset time point threshold, the remote server gives up the sleep starting time point data and the corresponding sleep duration data;
if the sleep starting point is later than the preset time point threshold, the remote server compares the sleep duration data corresponding to the sleep starting point with the preset duration threshold, when the sleep duration is smaller than the preset duration threshold, the remote server counts the times that the sleep duration is smaller than the preset duration threshold, finally the remote server compares the accumulated times with the preset times threshold, and if the accumulated times is larger than the times threshold, first early warning data is generated.
The manic-depressive psychosis monitoring and early warning system is characterized in that: the remote server extracts the signal intensity of each voice data, compares the signal intensity with a preset intensity threshold value, and abandons the voice data if the signal intensity is smaller than the preset intensity threshold value;
if the signal intensity is greater than the preset intensity threshold value, the far-end server reserves the voice data, the number of the voice data with the signal intensity greater than the preset intensity threshold value is counted and accumulated to obtain an accumulated value, the far-end server compares the accumulated value with the preset threshold value, and if the accumulated value is greater than the preset threshold value, the far-end server generates second early warning data.
The manic-depressive psychosis monitoring and early warning system is characterized in that: in the remote server, emotion recognition is carried out through expression image data to obtain an excited emotion image, the remote server processes corresponding four-limb action images when excited emotion is generated to obtain four-limb action amplitude data, the remote server compares the four-limb action amplitude data with a preset amplitude threshold value, and if the four-limb action amplitude data is smaller than the preset amplitude threshold value, the remote server gives up the four-limb action image and the corresponding expression image;
if the data of the four-limb action amplitude is larger than the preset amplitude threshold value, the remote server keeps the four-limb action image and the corresponding expression image, meanwhile, the remote server counts and accumulates the four-limb action image and the expression image of which the data of the four-limb action amplitude is larger than the preset amplitude threshold value to obtain an accumulated value, the remote server compares the accumulated value with the preset threshold value, and if the accumulated value is larger than the preset threshold value, the remote server generates third early warning data.
The manic-depressive psychosis monitoring and early warning system is characterized in that: when the first, second and third alarm data exist in the remote server at the same time, the remote server further generates the alarm data and sends the alarm data to the outside.
The invention collects the sleep data, the voice data, the action and the expression image data of the patient, judges the maniac condition based on the data according to the typical characteristics of the maniac patient, can realize long-time continuous disease monitoring, and has the advantages of high judgment accuracy and good early warning effect.
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FIG. 1 is a schematic diagram of the system architecture of the present invention.
Detailed Description
The invention is further illustrated with reference to the following figures and examples.
As shown in fig. 1, a mania monitoring and early warning system, including sleep monitor equipment, wearable recording equipment, image acquisition equipment, distal end server, wherein sleep monitor equipment for having wireless communication function, wearable recording equipment designs for wristwatch form and embeds wireless communication function, and image acquisition equipment adopts the camera that has wireless communication function. The sleep monitoring equipment, the wearable recording equipment and the image acquisition equipment are in wireless communication connection with the remote server respectively.
The sleep monitoring equipment collects the sleep duration data of the patient and the corresponding sleep starting time point data, and respectively transmits the sleep duration data and the sleep starting time point data to the remote server.
Wearable recording equipment is worn in patient's health, gathers patient's speech data and conveys to the remote server by wearable recording equipment.
The image acquisition equipment acquires the four-limb action image data and the expression image data of the patient and transmits the four-limb action image data and the expression image data to the remote server.
The remote server judges whether the patient has mania according to the sleep duration data, the sleep starting point data, the voice data, the four limbs movement image data and the expression image data, and the specific process is as follows:
in the far-end server, comparing the sleep starting time point data with a preset time point threshold, and if the sleep starting time point is earlier than the preset time point threshold, giving up the sleep starting time point data and the corresponding sleep duration data by the far-end server;
if the sleep starting point is later than the preset time point threshold, the remote server compares the sleep duration data corresponding to the sleep starting point with the preset duration threshold, when the sleep duration is smaller than the preset duration threshold, the remote server counts the times that the sleep duration is smaller than the preset duration threshold, finally the remote server compares the accumulated times with the preset times threshold, and if the accumulated times is larger than the times threshold, first early warning data is generated.
In the far-end server, extracting the signal intensity of each voice data, comparing the signal intensity with a preset intensity threshold value, and if the signal intensity is smaller than the preset intensity threshold value, giving up the voice data by the far-end server;
if the signal intensity is greater than the preset intensity threshold value, the far-end server reserves the voice data, the number of the voice data with the signal intensity greater than the preset intensity threshold value is counted and accumulated to obtain an accumulated value, the far-end server compares the accumulated value with the preset threshold value, and if the accumulated value is greater than the preset threshold value, the far-end server generates second early warning data.
In the remote server, emotion recognition is carried out through expression image data to obtain an excited emotion image, the remote server processes corresponding four-limb action images when excited emotion occurs to obtain four-limb action amplitude data, the remote server compares the four-limb action amplitude data with a preset amplitude threshold value, and if the four-limb action amplitude data is smaller than the preset amplitude threshold value, the remote server gives up the four-limb action image and the corresponding expression image;
if the data of the four-limb action amplitude is larger than the preset amplitude threshold value, the remote server keeps the four-limb action image and the corresponding expression image, meanwhile, the remote server counts and accumulates the four-limb action image and the expression image of which the data of the four-limb action amplitude is larger than the preset amplitude threshold value to obtain an accumulated value, the remote server compares the accumulated value with the preset threshold value, and if the accumulated value is larger than the preset threshold value, the remote server generates third early warning data.
When the first, second and third alarm data exist in the remote server at the same time, the remote server further generates the alarm data and sends the alarm data to the outside.
The embodiments of the present invention are described only for the preferred embodiments of the present invention, and not for the limitation of the concept and scope of the present invention, and various modifications and improvements made to the technical solution of the present invention by those skilled in the art without departing from the design concept of the present invention shall fall into the protection scope of the present invention, and the technical content of the present invention which is claimed is fully set forth in the claims.
Claims (5)
1. The utility model provides a manic symptom monitoring and early warning system which characterized in that: the system comprises sleep monitoring equipment, wearable recording equipment, image acquisition equipment and a remote server, wherein the sleep monitoring equipment, the wearable recording equipment and the image acquisition equipment are in wireless communication connection with the remote server respectively; the sleep monitoring equipment acquires the sleep duration data of the patient and the corresponding sleep starting time point data, and respectively transmits the sleep duration data and the sleep starting time point data to the remote server; the wearable recording equipment is worn on the body of a patient, and acquires voice data of the patient and transmits the voice data to the remote server; the image acquisition equipment acquires the four-limb action image data and the expression image data of the patient and transmits the four-limb action image data and the expression image data to the remote server; and the remote server judges whether the patient has mania according to the sleep duration data, the sleep starting point data, the voice data, the four-limb action image data and the expression image data.
2. The manic-depressive monitoring and warning system according to claim 1, wherein: the remote server compares the sleep starting time point data with a preset time point threshold, and if the sleep starting time point is earlier than the preset time point threshold, the remote server gives up the sleep starting time point data and the corresponding sleep duration data;
if the sleep starting point is later than the preset time point threshold, the remote server compares the sleep duration data corresponding to the sleep starting point with the preset duration threshold, when the sleep duration is smaller than the preset duration threshold, the remote server counts the times that the sleep duration is smaller than the preset duration threshold, finally the remote server compares the accumulated times with the preset times threshold, and if the accumulated times is larger than the times threshold, first early warning data is generated.
3. The manic-depressive monitoring and warning system according to claim 1, wherein: the remote server extracts the signal intensity of each voice data, compares the signal intensity with a preset intensity threshold value, and abandons the voice data if the signal intensity is smaller than the preset intensity threshold value;
if the signal intensity is greater than the preset intensity threshold value, the far-end server reserves the voice data, the number of the voice data with the signal intensity greater than the preset intensity threshold value is counted and accumulated to obtain an accumulated value, the far-end server compares the accumulated value with the preset threshold value, and if the accumulated value is greater than the preset threshold value, the far-end server generates second early warning data.
4. The manic-depressive monitoring and warning system according to claim 1, wherein: in the remote server, emotion recognition is carried out through expression image data to obtain an excited emotion image, the remote server processes corresponding four-limb action images when excited emotion is generated to obtain four-limb action amplitude data, the remote server compares the four-limb action amplitude data with a preset amplitude threshold value, and if the four-limb action amplitude data is smaller than the preset amplitude threshold value, the remote server gives up the four-limb action image and the corresponding expression image;
if the data of the four-limb action amplitude is larger than the preset amplitude threshold value, the remote server keeps the four-limb action image and the corresponding expression image, meanwhile, the remote server counts and accumulates the four-limb action image and the expression image of which the data of the four-limb action amplitude is larger than the preset amplitude threshold value to obtain an accumulated value, the remote server compares the accumulated value with the preset threshold value, and if the accumulated value is larger than the preset threshold value, the remote server generates third early warning data.
5. The manic-depressive monitoring and pre-warning system according to any one of claims 1-4, wherein: when the first, second and third alarm data exist in the remote server at the same time, the remote server further generates the alarm data and sends the alarm data to the outside.
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| CN201911012755.2A CN110720934A (en) | 2019-10-23 | 2019-10-23 | Manic symptom monitoring and early warning system |
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Application publication date: 20200124 |