Manhoria monitoring system

Abstract

The invention provides a dysphoria monitoring system. The dysphoria monitoring system comprises a processing module, an infrared detection module, a radar detection module, a pressure detection matrix, an acceleration detection module and a consciousness verification module, the infrared detection module is arranged on a ceiling right above the sickbed; the radar detection module is arranged on a support of a wall corresponding to a bed head of a sickbed and directly faces the chest of a patient; the pressure detection matrix comprises a plurality of pressure sensors arranged in an array, and the pressure sensors are arranged on the surface of a mattress of the sickbed; the acceleration detection module comprises acceleration sensors arranged at the wrist and the ankle; the consciousness verification module comprises a consciousness verification unit which is arranged on one side of the sickbed and corresponds to the head of the patient; the processing module is arranged at the tail of the sickbed. According to the system, acceleration detection, infrared detection and pressure detection are combined, so that the restlessness of the patient is comprehensively and accurately monitored, and the workload of medical staff is relieved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical monitoring devices, and in particular to a restlessness monitoring system. Background Art

[0002] Restlessness, as a common symptom in perioperative and critically ill patients, refers to a transient state of hyperkinesia during the progressive aggravation of consciousness disorder or the process of coma turning to awakening, and is prevalent in patients in the intensive care unit. Compared with ordinary patients, restless patients are more likely to experience adverse nursing events such as falls, bed railings, unplanned extubation and reintubation, and skin damage at the restraint sites, which hinder the smooth implementation of clinical treatment and nursing work. Therefore, medical staff need to promptly identify the signs of restlessness in patients and intervene as soon as possible.

[0003] Currently in clinical practice, medical staff often perform manual scoring based on sedation assessment scales combined with the patient's limb movements and facial expressions. The traditional scoring method has the following deficiencies: (1) The subjectivity of scoring is relatively strong, and different medical staff have different understandings of various assessment criteria, resulting in different assessment results; (2) The nursing work intensity of medical staff is relatively large, and frequent monitoring will increase the work burden of medical staff; (3) The movements of restless patients may be relatively slight and may be blocked by items such as quilts, making them difficult to detect. Through the above analysis, it can be seen that under the traditional scoring method, medical staff have a relatively high risk of failing to promptly detect the restlessness of patients and are likely to miss the best opportunity to intervene in patients. Summary of the Invention

[0004] To solve the defects existing in restlessness monitoring based on manual scoring in the prior art, the restlessness monitoring system proposed by the present invention includes a processing module, an infrared detection module, a radar detection module, a pressure detection matrix, an acceleration detection module, and a consciousness verification module;

[0005] The infrared detection module is arranged on the ceiling directly above the hospital bed;

[0006] The radar detection module is arranged on the bracket on the wall corresponding to the head of the hospital bed, facing the patient's chest;

[0007] The pressure detection matrix includes a plurality of pressure sensors arranged in an array, and the pressure sensors are arranged on the surface of the mattress of the hospital bed;

[0008] The acceleration detection module includes acceleration sensors arranged at the wrist and ankle;

[0009] The consciousness verification module includes a consciousness verification unit, and the consciousness verification unit is arranged on one side of the hospital bed, corresponding to the patient's head;

[0010] The processing module is arranged at the tail of the hospital bed and is communicatively connected to the infrared detection module, the radar detection module, the pressure detection matrix, the acceleration detection module, and the consciousness verification module.

[0011] Preferably, the infrared detection module includes an infrared imaging module.

[0012] Preferably, the radar detection module includes a millimeter-wave radar.

[0013] Preferably, the consciousness verification unit includes a microphone, a camera, and a speaker.

[0014] Preferably, the working process of the restlessness monitoring system specifically includes the following steps:

[0015] S1. Monitor whether the patient has a movement trend through the acceleration detection module;

[0016] S2. Judge whether the patient has autonomous consciousness through the consciousness verification module. If there is autonomous consciousness, enter S3; otherwise, enter S4;

[0017] S3. Judge the movement amplitude of the patient according to the data of the infrared detection module and the pressure detection matrix, and issue a reminder to the medical staff based on the movement amplitude, and end this judgment;

[0018] S4. Judge the movement amplitude of the patient according to the data of the infrared detection module and the pressure detection matrix, obtain the heart rate data and blood pressure data of the patient through the radar detection module, and issue a reminder to the medical staff based on the movement amplitude, heart rate data, and blood pressure data, and end this judgment.

[0019] Preferably, in S1, the processing module collects the data of each acceleration sensor, judges whether the data of the acceleration sensor exceeds the acceleration threshold. If the data of any acceleration sensor exceeds the acceleration threshold, it means that the patient has a movement trend.

[0020] Preferably, in S2, the judgment process of autonomous consciousness is that the processing module controls the speaker to emit a sound for interacting with the patient to attract the patient's attention. Subsequently, the processing module controls the microphone and the camera to collect the patient's information, receives the video signal collected by the camera and the audio signal collected by the microphone, and analyzes whether there is a response from the patient in the video signal and the audio signal. If there is a response from the patient in the video signal and the audio signal, it is judged that the patient has autonomous consciousness; otherwise, it is judged that the patient does not have autonomous consciousness.

[0021] Preferably, in S3, the processing module receives the infrared image captured by the infrared detection module, marks the initial posture of the patient in the infrared image, corrects the initial posture in combination with the data of the pressure detection matrix to obtain the final posture, compares the final posture with the first posture when the patient was initially placed on the hospital bed, calculates the movement amplitude. If the movement amplitude is greater than the movement threshold, the processing module issues a secondary reminder to the medical staff. Otherwise, the processing module only records the data without giving a reminder.

[0022] Preferably, in S4, the processing module receives the infrared image captured by the infrared detection module, marks the initial posture of the patient in the infrared image, corrects the initial posture in combination with the data of the pressure detection matrix to obtain the final posture, compares the final posture with the first posture when the patient was initially placed on the hospital bed, calculates the movement amplitude. If the movement amplitude is less than or equal to the movement threshold, and both the heart rate data and blood pressure data are within the normal range, the processing module only records the data without giving a reminder; if the movement amplitude is less than or equal to the movement threshold, and either the heart rate data or blood pressure data exceeds the normal range, the processing module issues a secondary reminder to the medical staff. If the movement amplitude is greater than the movement threshold, and either the heart rate data or blood pressure data exceeds the normal range, the processing module issues a primary reminder to the medical staff.

[0023] Preferably, the calculation and judgment process of the movement amplitude is that the processing module identifies the upper arm, forearm, thigh and calf in the final posture, compares the identified upper arm, forearm, thigh and calf with the corresponding parts in the first posture, calculates the deviation distance of each based on the center point of the part. If any deviation distance is greater than the distance threshold, it is determined that the movement amplitude is greater than the movement threshold.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] By combining acceleration detection, infrared detection and pressure detection, it realizes the comprehensive and accurate monitoring of patient restlessness and reduces the workload of medical staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a schematic structural diagram of the restlessness monitoring system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0027] The technical solutions of the present invention will be described in detail below in conjunction with the drawings and specific embodiments.

[0028] As Figure 1 shown, the restlessness monitoring system proposed by the present invention includes a processing module, an infrared detection module, a radar detection module, a pressure detection matrix, an acceleration detection module and a consciousness verification module.

[0029] The infrared detection module is installed on the ceiling directly above the hospital bed. The infrared detection module includes an infrared imaging module. The infrared imaging module measures the infrared difference between the patient himself and the background to obtain different thermal infrared rays to form an infrared image. Specifically, the uncooled infrared thermal imaging micro-module Tiny-2 series launched by Raytron Microelectronics Co., Ltd. is selected. The infrared detection module acquires the infrared image of the patient, and the infrared image can reflect the posture of the patient on the hospital bed.

[0030] The radar detection module is installed on the bracket on the wall corresponding to the head of the hospital bed, facing the patient's chest. The radar detection module includes a millimeter-wave radar. The modulation wave of the millimeter-wave radar is a frequency-modulated continuous wave (FMCW) signal, which has a large bandwidth, almost no ranging blind area, high resolution, and obvious advantages in environmental robustness compared with other sensors, and can meet the requirements of indoor personnel detection in terms of accuracy, stability, etc. Specifically, the XENSIV millimeter-wave radar chipset of Infineon Technologies AG is selected. By processing the signal of the millimeter-wave radar through an algorithm, the blood pressure and heart rate of the patient can be obtained. The algorithm uses a conventional algorithm in the existing technology and will not be elaborated here.

[0031] The pressure detection matrix includes a plurality of pressure sensors arranged in an array, and the pressure sensors are arranged on the surface of the mattress of the hospital bed. The pressure detection matrix is used to detect the pressure distribution of the patient on the mattress, and the pressure distribution can reflect the occupied area of the patient on the hospital bed.

[0032] The acceleration detection module includes acceleration sensors arranged at the wrist and ankle. The acceleration sensors can detect the movement trends at the wrist and ankle. Considering that most human movements involve the wrist and ankle, the movement trends at the wrist and ankle can reflect the movement trend of the human body.

[0033] The consciousness verification module includes a consciousness verification unit, and the consciousness verification unit is arranged on one side of the hospital bed, corresponding to the patient's head. The consciousness verification unit includes a microphone, a camera and a speaker. The speaker is used to play the audio for interacting with the patient, the microphone is used to collect the patient's voice, and the camera is used to take pictures of the patient.

[0034] The processing module is arranged at the end of the hospital bed and is communicatively connected to the infrared detection module, the radar detection module, the pressure detection matrix, the acceleration detection module and the consciousness verification module, and controls the working process of the restlessness monitoring system.

[0035] The working process of the restlessness monitoring system specifically includes the following steps:

[0036] S1. Monitor whether the patient shows a movement trend through the acceleration detection module. The processing module collects data from each acceleration sensor, determines whether the data of the acceleration sensor exceeds the acceleration threshold. If the data of any acceleration sensor exceeds the acceleration threshold, it indicates that the patient shows a movement trend.

[0037] S2. Determine whether the patient has autonomous consciousness through the consciousness verification module. If there is autonomous consciousness, enter S3; otherwise, enter S4. The process of judging autonomous consciousness is that the processing module controls the speaker to emit sounds for interacting with the patient to attract the patient's attention, such as playing the patient's favorite music, asking the patient simple questions, etc. Subsequently, the processing module controls the microphone and camera to collect the patient's information, receives the video signal collected by the camera and the audio signal collected by the microphone, and analyzes whether there is a response from the patient in the video signal and audio signal. For example, whether the patient's head turns towards the position where the consciousness verification module is located, whether the lips open and close, and whether the eyes open and close in the video signal, and whether there is an answer from the patient to specific questions in the audio signal. If there is a response from the patient in the video signal and audio signal, it is judged that the patient has autonomous consciousness; otherwise, it is judged that the patient does not have autonomous consciousness.

[0038] S3. Determine the movement amplitude of the patient based on the data of the infrared detection module and the pressure detection matrix, and issue a reminder to the medical staff based on the movement amplitude, and end this judgment. The processing module receives the infrared image captured by the infrared imaging module, marks the initial posture of the patient in the infrared image, corrects the initial posture in combination with the data of the pressure detection matrix to obtain the final posture, compares the final posture with the first posture when the patient was initially placed on the hospital bed, calculates the movement amplitude. If the movement amplitude is greater than the movement threshold, the processing module issues a secondary reminder to the medical staff; otherwise, the processing module only records the data without giving a reminder.

[0039] S4. Determine the movement amplitude of the patient based on the data of the infrared detection module and the pressure detection matrix, obtain the patient's heart rate data and blood pressure data through the radar detection module, and issue a reminder to the medical staff based on the movement amplitude, heart rate data and blood pressure data, and end this judgment. The processing module receives the infrared image captured by the infrared imaging module, marks the initial posture of the patient in the infrared image, corrects the initial posture in combination with the data of the pressure detection matrix to obtain the final posture, compares the final posture with the first posture when the patient was initially placed on the hospital bed, calculates the movement amplitude. If the movement amplitude is less than or equal to the movement threshold, and both the heart rate data and blood pressure data are within the normal range, the processing module only records the data without giving a reminder; if the movement amplitude is less than or equal to the movement threshold, and either the heart rate data or blood pressure data exceeds the normal range, the processing module issues a secondary reminder to the medical staff; if the movement amplitude is greater than the movement threshold, and either the heart rate data or blood pressure data exceeds the normal range, the processing module issues a primary reminder to the medical staff.

[0040] The calculation and determination process of the movement amplitude is that the processing module identifies the upper arm, forearm, thigh, and calf in the final posture, compares the identified upper arm, forearm, thigh, and calf with the corresponding parts in the first posture, calculates their respective deviation distances based on the center points of the parts, and if any deviation distance is greater than the distance threshold, it is determined that the movement amplitude is greater than the movement threshold.

[0041] The above-disclosed are only the preferred embodiments of the present invention, and of course, the scope of the rights of the present invention cannot be limited thereby. It should be pointed out that for those skilled in the art of this technology, any equivalent changes made to the present invention without departing from the design structure and principle of the present invention are regarded as the protection scope of the present invention.

Claims

1. A restlessness monitoring system, characterized in that, The restlessness monitoring system includes a processing module, an infrared detection module, a radar detection module, a pressure detection matrix, an acceleration detection module, and a consciousness verification module; The infrared detection module is arranged on the ceiling directly above the hospital bed; The radar detection module is arranged on the bracket on the wall corresponding to the head of the hospital bed, facing the patient's chest; The pressure detection matrix includes a plurality of pressure sensors arranged in an array, and the pressure sensors are arranged on the surface of the mattress of the hospital bed; The acceleration detection module includes acceleration sensors arranged at the wrist and ankle; The consciousness verification module includes a consciousness verification unit, and the consciousness verification unit is arranged on one side of the hospital bed, corresponding to the patient's head; The processing module is arranged at the tail of the hospital bed and is communicatively connected to the infrared detection module, the radar detection module, the pressure detection matrix, the acceleration detection module, and the consciousness verification module.

2. The restlessness monitoring system according to claim 1, characterized in that, The infrared detection module includes an infrared imaging module.

3. The restlessness monitoring system according to claim 1, characterized in that The radar detection module includes a millimeter-wave radar.

4. The restlessness monitoring system according to claim 1, wherein The consciousness verification unit includes a microphone, a camera, and a speaker.

5. The restlessness monitoring system according to any one of claims 1-4, characterized in that, The working process of the restlessness monitoring system specifically includes the following steps: S1. Monitor whether the patient shows a movement trend through the acceleration detection module; S2. Judge whether the patient has autonomous consciousness through the consciousness verification module. If there is autonomous consciousness, enter S3; otherwise, enter S4; S3. Judge the movement amplitude of the patient according to the data of the infrared detection module and the pressure detection matrix, and send a reminder to the medical staff based on the movement amplitude, and end this judgment; S4. Judge the movement amplitude of the patient according to the data of the infrared detection module and the pressure detection matrix, obtain the patient's heart rate data and blood pressure data through the radar detection module, and send a reminder to the medical staff based on the movement amplitude, heart rate data, and blood pressure data, and end this judgment.

6. The restlessness monitoring system according to claim 5, characterized in that In S1, the processing module collects the data of each acceleration sensor, and judges whether the data of the acceleration sensor exceeds the acceleration threshold. If the data of any acceleration sensor exceeds the acceleration threshold, it means that the patient shows a movement trend.

7. The restlessness monitoring system according to claim 5, wherein In S2, the judgment process of autonomous consciousness is that the processing module controls the speaker to emit a sound to interact with the patient to attract the patient's attention. Subsequently, the processing module controls the microphone and the camera to collect the patient's information, receives the video signal collected by the camera and the audio signal collected by the microphone, and analyzes whether there is a response from the patient in the video signal and the audio signal. If there is a response from the patient in the video signal and the audio signal, it is judged that the patient has autonomous consciousness; otherwise, it is judged that the patient does not have autonomous consciousness.

8. The restlessness monitoring system according to claim 5, wherein In S3, the processing module receives the infrared image taken by the infrared detection module, marks the initial posture of the patient in the infrared image, corrects the initial posture in combination with the data of the pressure detection matrix to obtain the final posture, compares the final posture with the first posture when the patient was initially placed on the hospital bed, calculates the movement amplitude. If the movement amplitude is greater than the movement threshold, the processing module sends a secondary reminder to the medical staff; otherwise, the processing module only records the data and does not give a reminder.

9. The restlessness monitoring system according to claim 4, wherein, In S4, the processing module receives the infrared image captured by the infrared detection module, marks the initial posture of the patient in the infrared image, corrects the initial posture in combination with the data of the pressure detection matrix to obtain the final posture, compares the final posture with the first posture when the patient was initially placed on the hospital bed, calculates the movement amplitude. If the movement amplitude is less than or equal to the movement threshold, and both the heart rate data and blood pressure data are within the normal range, the processing module only records the data without giving a reminder; if the movement amplitude is less than or equal to the movement threshold, and either the heart rate data or the blood pressure data exceeds the normal range, the processing module sends a secondary reminder to the medical staff. If the movement amplitude is greater than the movement threshold, and either the heart rate data or the blood pressure data exceeds the normal range, the processing module sends a primary reminder to the medical staff.

10. The restlessness monitoring system according to any one of claims 8-9, characterized in that, The calculation and judgment process of the movement amplitude is that the processing module identifies the upper arm, forearm, thigh and calf in the final posture, compares the identified upper arm, forearm, thigh and calf with the corresponding parts in the first posture, calculates their respective deviation distances based on the center points of the parts. If any deviation distance is greater than the distance threshold, it is determined that the movement amplitude is greater than the movement threshold.

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