CN111904399A

CN111904399A - Breathing monitoring sickbed for old people

Info

Publication number: CN111904399A
Application number: CN201910374453.3A
Authority: CN
Inventors: 不公告发明人
Original assignee: Chongqing Haode Translation Information Technology Co ltd
Current assignee: Chongqing Haode Translation Information Technology Co ltd
Priority date: 2019-05-07
Filing date: 2019-05-07
Publication date: 2020-11-10

Abstract

The utility model provides a respiratory monitoring sick bed to old person, respiratory monitoring sick bed includes the bed body at least and sets up in intelligent mattress on the bed body, intelligent mattress includes at least breathing monitoring module and at least one health gesture evaluation module all is connected with data analysis module, wherein, data analysis module is based on the state mode information that health gesture evaluation module generated draws the old person's profile under corresponding state mode thereby confirms first respiratory frequency threshold value, and pass through breathing monitoring module gathers old person's respiratory frequency and confirms second respiratory frequency threshold value first respiratory frequency threshold value with under the different circumstances of second respiratory frequency threshold value, data analysis module is according to increasing the occupation ratio of second respiratory frequency threshold value and reducing the mode of the occupation ratio of first respiratory frequency threshold value generates the third respiratory frequency threshold value under this state mode and accomplishes from this the old person's profile corresponds state mode threshold value And updating the lower respiratory rate threshold.

Description

Breathing monitoring sickbed for old people

Technical Field

The invention relates to the technical field of intelligent monitoring of old people, in particular to a respiratory monitoring sickbed for the old people.

Background

A guardian such as a family member, a nurse, etc. who cares for an elderly patient generally needs to periodically check whether the elderly patient is breathing normally. The guardian can observe obvious breathing change and facial expression change through visual inspection, but slight sign change cannot be observed and is easy to be ignored, so that the safety hazard problem of the old people is caused. Since the respiratory mucosa function of the old is reduced, the respiratory mucosa and the lymphatic tissue are degenerated, the movement of ciliated epithelial cells and cilia is reduced, and the function of mononuclear macrophages is degenerated, a guardian can generally know whether the old breathes or not by simply observing the movement frequency of the chest and the abdomen of the old. But for the old person who breathes shallowly, it is difficult to accurately observe the motion condition of the chest and abdomen of the old person through visual inspection, and the difficulty of visual inspection can be increased at insufficient light or night, and the guardian is easy to be confused when the old person is in a relatively urgent situation, and cannot take effective measures to increase the burden of the guardian in the first time.

The elderly are prone to tachypnea, abnormal breathing and even apnea. Sometimes, the phenomenon of irregular breathing frequency and heavy breathing sound and shortness of breath of old people occurs because the breathing rate is increased to make up for the deficiency of the breathing rate each time because the breathing rate is less and the oxygen amount required by the body is not less. Clinical observation alone is often inadequate for such elderly people with an predisposition to apnea. In the prior art, a wired respiration monitoring device usually needs a bandage to bind a respiration sensor on the chest and abdomen of an old person or place the respiration sensor in the nasal cavity, so that obstructive apnea is diagnosed, but long-time monitoring by using the wired respiration monitoring device can generate great constraint on the old person, and a respiration channel of the old person is easily blocked.

In the face of such a respiratory situation that the respiratory conditions are too numerous and the judgment process is complex, the guardian cannot stay around the old all the time and can make accurate judgment only by means of personal experience. The respiratory monitoring illness device on the market at present only reports to the police through monitoring old person's physiological information under the sleep state and to its abnormal state, but pay close attention to the breathing condition of the old person's of difference under the various complicated multiple physiological states and probably cause the reason of breathing unusually, prior art does not carry out detailed differentiation and leads to the frequent or can not accurate warning of warning number of times to old person's physiological state, easily frighten old person and influence its normal sleep, the care process that more gives guardians has increased the work degree of difficulty.

Currently, there are several ways to monitor vital signs, such as: intelligent bracelet and intelligent mattress etc.. The intelligent mattress is a restraint-free vital sign monitoring device, is widely applied to the old people care auxiliary market, and provides more intelligent and safe auxiliary service for guardians to monitor the old people. When the old person was on intelligent mattress, some vital sign parameters that the intelligent mattress can detect the old person can judge whether unusual according to the vital sign parameter that detects. The working principle of the common intelligent mattress is as follows: the mattress device collects weak vibration of a user and calculates a corresponding heart rate/respiration value, and then uploads data to the cloud platform once every 3 seconds, wherein parameters comprise heart rate, respiration, body movement, a state of leaving a bed and the like. The heart rate reference value range of normal people is 50-100 times/min, and the respiration reference value range is 10-30 times/min. The cloud platform monitors vital signs of an intelligent mattress user in real time, generates an alarm signal when the vital sign parameters deviate from corresponding reference value ranges, and pushes the alarm signal to a terminal operated by a guardian. Current systems define the following anomaly warning algorithms: (1) and (3) abnormal heart rate alarming: the heart rate value continuously deviates from the normal range for more than 3 minutes, and 1 time of abnormal heart rate alarm is generated; (2) and (4) abnormal breathing alarming: the respiration value continuously deviates from the normal range for more than 3 minutes, and 1 abnormal respiration alarm is generated. However, since different elderly people have different living habits, the detected vital signs are different whether they sleep, play, calm, cry or eat. For example, the respiration value in a resting state is generally continuously lower than 10 times/minute, and if a conventional warning algorithm is used, 10 false alarms are triggered every half hour, obviously causing a problem of high false alarm rate.

Chinese patent (publication number is CN109106349A) discloses a family user sleep monitoring system, including detection module, signal processing unit, wireless communication module, controller, adjusting module, output module and power module, detection module includes carbon dioxide sensor, temperature sensor, brain wave sensor, pulse sensor, respiratory sensor, pressure sensor and carbon monoxide sensor, adjusting module includes temperature regulator and oxygenation appearance, output module includes printer and display, signal processing unit still is connected with clock module and player, the controller still is connected with audible-visual annunciator, includes the power module who is connected with the controller, power module is used for supplying power for the controller. The family user sleep monitoring system can monitor the old people in the sleep state, and is beneficial to improving the sleep quality.

The sleep monitoring system for the old people disclosed by the patent can monitor the sleep condition of the old people in real time and prevent the emergency of the old people in the sleep process. However, the single object monitored by the patent is set to be monitored respectively, so that the alarm is frequently generated, and the individual difference more suitable for different old people can not be achieved based on the judgment of whether effective early warning is met or not when the alarm is given each time.

Chinese patent (publication number is CN205994100U) discloses a sign monitoring circuit and a sign monitoring mattress, belonging to the field of daily necessities, and comprising a sign detection chip, a signal processing module, a microprocessor, a data storage module, a communication module and a key display module; the physical sign detection chip is in communication connection with the signal processing module; the signal processing module is in communication connection with the microprocessor; the data storage module, the communication module and the key display module are respectively in communication connection with the microprocessor; the physical sign detection chip comprises a respiratory rate detection chip, a heart rate detection chip and a blood pressure detection chip; the communication module is a SIM communication module. The utility model discloses can realize the middle-aged and old people in the condition of normal rest and sleep in bed, timely effectual control with detect health and send physical sign data to the relative cell-phone, when detecting that physical sign data surpasss normal water, can dial 120 automatically, realize in time seeking medical advice.

Although this patent can obtain and monitor important sign information such as old person's breathing and heartbeat in real time through setting up the sign and detecting the chip. However, the application range of the patent is only limited to the situation that the elderly can only acquire the information when lying on their backs, the dependence degree on the individual posture is large, the practical application of the patent to the information monitoring of the elderly is limited, and the patent cannot provide an effective monitoring auxiliary effect. Therefore, the technical problem to be solved by the invention is to overcome the defects of the prior art and provide an improved respiratory monitoring sickbed for the elderly, which can intelligently monitor physical sign information such as respiration and the like according to the physical state of the elderly and has an effective monitoring auxiliary effect.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a respiration monitoring sickbed for the elderly, which at least comprises a bed body and an intelligent mattress arranged on the bed body, wherein the intelligent mattress at least comprises a respiration monitoring module and at least one body posture evaluation module which are both connected with a data analysis module, the data analysis module extracts an elderly configuration file in a corresponding state mode based on state mode information generated by the body posture evaluation module so as to determine a first respiration frequency threshold, the respiration monitoring module acquires elderly respiration information so as to determine a second respiration frequency threshold, and the data analysis module generates a third respiration frequency threshold in the state mode according to a mode of increasing the proportion of the second respiration frequency threshold and decreasing the proportion of the first respiration frequency threshold under the condition that the first respiration frequency threshold is different from the second respiration frequency threshold, so as to finish the respiration monitoring sickbed for the elderly The old people configuration file corresponds to the updating process of the breathing frequency threshold value in the state mode.

According to a preferred embodiment, the respiration monitoring module is configured for performing the steps of: acquiring respiratory condition information for analyzing the respiratory condition of the old, analyzing the respiratory condition of the old according to the respiratory condition information, and obtaining the respiratory condition analysis result of the old, wherein: the respiratory condition information at least comprises respiratory frequency information and state mode information, and the step of analyzing the respiratory condition at least comprises the following steps: and obtaining a breathing condition analysis parameter corresponding to the state mode according to the state mode information, and carrying out breathing condition analysis on the breathing frequency information and the breathing condition analysis parameter to obtain a breathing condition analysis result.

According to a preferred embodiment, the respiration monitoring module comprises at least a respiration determination unit, a respiration recording unit and a respiration rate calculation unit, wherein: the respiratory condition information acquisition device comprises a respiratory condition acquisition unit, a respiratory determining unit, a respiratory recording unit and a data analysis module, wherein the respiratory condition acquisition unit is used for acquiring respiratory condition information of the elderly, the respiratory determining unit is used for periodically detecting specific frequency sound and transmitting the specific frequency sound to the respiratory recording unit, and the respiratory frequency calculation unit is used for calculating the respiratory frequency of the elderly according to the number of times of complete respiration detected in unit time and outputting the respiratory frequency information to the data analysis module under the condition that the respiratory recording unit receives the specific frequency sound and detects and records single complete respiration.

According to a preferred embodiment, the respiratory monitoring hospital bed further comprises a physical condition acquisition module for detecting physiological information of the elderly and a mobile terminal for operation of a guardian, wherein: the body acquisition module can detect action condition information of the old people and transmit the action condition information to the data analysis module, the data analysis module can generate state mode information corresponding to the action condition information through the body posture evaluation module, and the mobile terminal can interact with the state information and perform body condition analysis to determine a second respiratory anomaly threshold value.

According to a preferred embodiment, the step of analyzing the physical condition comprises at least: acquiring a first input image containing a target object through at least one first direction motion acquisition unit arranged on the respiratory monitoring hospital bed, and searching and determining at least one first reference image similar to the first input image and a first similarity corresponding to the first reference image based on a local feature matching result between the first input image and a plurality of pre-stored reference images containing the target object; acquiring a second input image containing a target object through at least one second direction motion acquisition unit arranged on the respiration monitoring hospital bed, and retrieving and determining at least one second reference image similar to the second input image and a second similarity corresponding to the second reference image based on a local feature matching result between the second input image and a plurality of pre-stored reference images containing the target object; analyzing the correlation between the physiological information of the old person collected by at least one body condition collecting module arranged on the respiration monitoring sickbed and the preset physiological information in the old person configuration file at a first moment when the collected respiratory condition information of the old person corresponds to the first respiration abnormity threshold value, and determining a second moment when the abnormal physiological information corresponding to the correlation is generated; and under the condition that the higher one of the first similarity and the second similarity is higher than a preset similarity threshold, generating state mode information corresponding to the higher one of the first similarity and the second similarity, and indicating a respiration monitoring module to acquire and output a second respiration abnormity threshold corresponding to the second moment.

According to a preferred embodiment, the body posture assessment module is configured for performing the following steps: the body condition acquisition module is used for acquiring action condition information for detecting action conditions of the old, analyzing the action conditions of the old according to the action condition information, and analyzing to obtain state mode information corresponding to the action condition information.

According to a preferred embodiment, the update process of the elderly profile is configured to store the elderly breathing situation in the elderly profile and/or in the mobile terminal in a time information dependent manner, including in a different shape of curve and/or graphical presentation depending on the elderly breathing situation for the same time period on different dates.

According to a preferred embodiment, the step of analyzing the physical condition comprises at least: and analyzing the correlation between the physiological information of the old person acquired by the physical condition acquisition module and the preset physiological information in the old person configuration file, and indicating the data analysis module to send an abnormal physiological information prompt and/or an early warning prompt to the mobile terminal based on the abnormal physiological information corresponding to the correlation.

According to a preferred embodiment, the data analysis module is further provided with a nursing suggestion module which is associated with medical information of a third-party medical institution and interacts with the physical condition acquisition module, the diagnosis suggestion module performs diagnosis analysis based on the abnormal physiological information of the elderly to obtain corresponding nursing suggestions and instructs the data analysis module to send nursing suggestion prompt information to the mobile terminal, and/or the nursing suggestion module matches the third-party medical institution of the area where the elderly is located based on the geographical position information determined by the respiratory monitoring hospital bed, and instructs the data analysis module to send disease suggestion information to the mobile terminal according to the disease alert information of the nearby area and/or the specific time period acquired from the third-party medical institution.

According to a preferred embodiment, the respiration monitoring device at least comprises a bed body and an intelligent mattress arranged on the bed body, the intelligent mattress at least comprises a respiration monitoring module and at least one body posture evaluation module which are both connected with a data analysis module, and the respiration monitoring method at least comprises the following steps: the method comprises the steps that action condition information of the old people is collected through a body condition collection module and transmitted to a data analysis module, the data analysis module generates state mode information corresponding to the action condition information through a body posture assessment module, a mobile terminal and the data analysis module carry out state information interaction and body condition analysis to determine a second breathing abnormal threshold value, an old person configuration file in a corresponding state mode is extracted based on the state mode information generated by the body posture assessment module to determine a first breathing frequency threshold value, a third breathing frequency threshold value is generated in a mode of being compared with the second breathing abnormal threshold value to finish the updating process of the breathing frequency threshold value in the corresponding state mode of the old person configuration file, and the updating process is based on the phase between the physiological information of the old people collected by the body condition collection module and preset physiological information in the old person configuration file And analyzing the relevance, and indicating the data analysis module to send an abnormal physiological information prompt and/or an early warning prompt to the mobile terminal based on the abnormal physiological information corresponding to the relevance.

According to a preferred embodiment, the body posture assessment module comprises one or more of an infrared sensor, a vibration sensor and a camera, the respiration monitoring module comprises a microwave sensor, the body condition acquisition module comprises one or more of a body temperature sensor, a heart rate sensor or a piezoelectric sensor, and the mobile terminal comprises one or more of a computer, a mobile phone or a tablet computer.

The invention has the beneficial technical effects that:

(1) the invention can accurately judge different breathing conditions of the old through monitoring the action condition of the old to obtain the detailed and differentiated current state information of the old and analyzing the breathing heartbeat information and the current state information obtained through microwave signal detection, avoids the problem that the alarm frequency is frequent or the alarm cannot be accurately alarmed, has lower false alarm rate compared with the traditional alarm method of a simple fixed threshold value, and provides scientific and effective monitoring auxiliary effect for a guardian to reduce the nursing difficulty of the guardian. Particularly for the elderly who are more likely to have respiratory problems, the method can more effectively prompt the guardian to raise vigilance, so that the guardian can take action in a short time, and the method is favorable for improving the risk of the respiratory problems for a long time.

(2) The invention gradually corrects the first respiratory frequency threshold value determined by adopting a larger range to perform information interaction with a plurality of other respiratory monitoring sickbeds at the initial use stage of the respiratory monitoring sickbed by combining the second respiratory frequency threshold value detected in a single time with a smaller range, the correction process can not only ensure the monitoring reliability in an effective range and ensure that the abnormal breathing condition of the old people can be detected every time, but also avoid the problem that the monitoring function can be started only by collecting a large amount of data of the current user for a long time in the prior art, meanwhile, the third respiratory frequency threshold obtained after continuous correction can gradually approach to the accurate range with individual difference which is most suitable for the current user, so that the monitoring accuracy is improved, and the problem of high difficulty in determining the threshold in the respiratory monitoring process of the old in the prior art is solved.

(3) In the respiratory monitoring sickbed based on microwave signal monitoring, provided by the invention, the respiratory condition of the monitored old people is monitored, and professional and effective nursing suggestion information is provided based on the old people configuration file independently configured for each old person, so that not only is a prompt or an early warning sent to the guardian according to the current acquisition information, but also more comprehensive and accurate long-term care assistance is provided for the guardian.

Drawings

Fig. 1 is a schematic diagram of the module connection relationship of the respiration monitoring hospital bed of the present invention.

List of reference numerals

1: the data analysis module 2: the physical condition acquisition module 3: mobile terminal

501: the respiration determination unit 502: the respiration recording unit 503: respiratory rate calculation unit

601: the respiration monitoring module 602: body posture evaluation module

603: nursing advice module

Detailed Description

The following detailed description is made with reference to the accompanying drawings.

The invention provides a respiration monitoring sickbed for old people, which at least comprises a bed body and an intelligent mattress arranged on the bed body, wherein the intelligent mattress at least comprises a respiration monitoring module 601 and at least one body posture evaluation module 602 which are both connected with a data analysis module 1, the data analysis module 1 extracts an old people configuration file in a corresponding state mode based on state mode information generated by the body posture evaluation module 602 so as to determine a first respiration frequency threshold, and acquires the respiration information of the old people through the respiration monitoring module 601 so as to determine a second respiration frequency threshold, and under the condition that the first respiration frequency threshold is different from the second respiration frequency threshold, the data analysis module 1 generates a third respiration frequency threshold in the state mode in a manner of increasing the proportion of the second respiration frequency threshold and reducing the proportion of the first respiration frequency threshold, so as to finish the respiration frequency threshold in the corresponding state mode of the old people configuration file The update process of (1).

According to the respiratory monitoring sickbed for the old, the microwave is used as a detection medium, so that no device or wire is needed to contact the body of the old, and the detection can be performed when the old is in any physical state, the limitation that the detection can be performed only in the supine state in the prior art is solved, and meanwhile, stronger resolution and higher detection accuracy are achieved. The invention can accurately judge different breathing conditions of the old through monitoring the action condition of the old to obtain the detailed and differentiated current state information of the old and analyzing the breathing heartbeat information and the current state information obtained through microwave signal detection, avoids the problem that the alarm frequency is frequent or the alarm cannot be accurately alarmed, has lower false alarm rate compared with the traditional alarm method of a simple fixed threshold value, and provides scientific and effective monitoring auxiliary effect for a guardian to reduce the nursing difficulty of the guardian.

In the prior art, the monitoring range of the next time is directly determined according to single monitoring data, the monitoring range obtained by the method cannot be representative due to too few parallel monitoring times and large accidental errors, and the monitoring effect on the breathing abnormity of the old cannot be achieved effectively and reliably. The respiration monitoring sickbed provided by the invention gradually corrects the first respiration frequency threshold value by arranging the first respiration frequency threshold value which is determined by the information interaction between the first respiration frequency threshold value and a plurality of other respiration monitoring sickbeds and is used in the initial use stage of the respiration monitoring sickbed, combining the second respiration frequency threshold value which is detected in a single time and has a smaller range, the correction process can not only ensure the monitoring reliability in an effective range and ensure that the abnormal breathing condition of the old people can be detected every time, but also avoid the problem that the monitoring function can be started only by collecting a large amount of data of the current user for a long time in the prior art, meanwhile, the third respiratory frequency threshold obtained after continuous correction can gradually approach to the accurate range with individual difference which is most suitable for the current user, so that the monitoring accuracy is improved, and the problem of high difficulty in determining the threshold in the respiratory monitoring process of the old in the prior art is solved.

The prior art detection is impractical to maintain high vigilance and attention at all times, especially for the elderly who are more likely to have respiratory problems, the present invention can more effectively prompt their guardians to raise vigilance so that they can take action in the short term, and more importantly, help to improve the risk of respiratory problems over the long term. When the respiratory condition of the monitored old people is monitored, professional and effective nursing advice information is provided based on the old people configuration file configured for each old person independently, the monitoring person is not only prompted or early warned according to the current acquisition information, but also more comprehensive and accurate long-term care assistance is provided for the monitoring person.

Preferably, the action condition information at least comprises action information of the elderly, such as action amplitude information, limb action information, facial action information and the like, which is acquired according to a wearable device of the elderly and a camera device installed on a mattress, the state mode information at least comprises a quiet state, a sleep-in state, an awake state, a sleep state and the like, and the data analysis module 1 is converted into a corresponding state mode according to the stored state mode information corresponding to the action condition information, so that the data analysis module has a second respiratory frequency threshold with stronger pertinence in different state modes.

Preferably, under the condition that the collected respiratory condition information of the old people corresponds to the first respiratory frequency threshold, the first respiratory frequency threshold is triggered for the respiratory condition of the current old people, the guardian is early warned, meanwhile, the second respiratory frequency threshold is obtained after the physical condition is analyzed, and whether the current first respiratory frequency threshold accords with effective early warning is judged based on the action state information of the current old people during each early warning. Under the condition that the current first respiratory frequency threshold value is invalid and early-warning, a more accurate second respiratory frequency threshold value is obtained, according to the mode of increasing the proportion of the second respiratory frequency threshold value and reducing the proportion of the first respiratory frequency threshold value, a third respiratory frequency threshold value in the state mode is generated, the updating process of the configuration file of the old people is completed, the initial first respiratory frequency threshold value is updated to the current third respiratory frequency threshold value, the respiratory monitoring sickbed can be more suitable for different actual conditions of the old people under continuous use for a longer time, and meanwhile, the detection accuracy of the respiratory monitoring sickbed is improved. Preferably, the breathing rate threshold may be a threshold of a change rate of the breathing rate, that is, the change rate is large when the breathing rate changes suddenly, so that abnormal breathing behaviors such as tachypnea or apnea of the elderly can be timely and accurately determined.

Preferably, the elderly profile at least includes age, weight, past medical history, average activity, ambient temperature, and other basic information of the elderly, which is collected by the wearable device of the elderly and the camera device mounted on the mattress. At this old person uses the initial stage of respiratory monitoring sick bed, though not reach sufficient relevant this old person's health information and respiratory condition information, carry out information interaction through data analysis module 1 and a plurality of other respiratory monitoring sick beds to the old person's of other respiratory monitoring sick beds configuration file is saved with the corresponding mode of the third respiratory frequency threshold value of other respiratory monitoring sick beds, data analysis module 1 can compare the information that other respiratory monitoring sick beds were gathered based on this old person's configuration file from this, and the first respiratory frequency threshold value that provides to this old person is generated in the initial stage of using this respiratory monitoring sick bed. For example, a plurality of elderly basic information in the elderly profile are sorted according to a certain proportion and a basic threshold range, for example, other respiratory monitoring bed information with the same age and the same past medical history is preferentially sorted, for example, other respiratory monitoring bed information with the same difference exceeding or falling below the basic threshold range of the weight at the same age is preferentially sorted, so that the first respiratory frequency threshold which best meets the special individual condition of the elderly is provided for the elderly at the initial stage of the respiratory monitoring bed, and the elderly can be guaranteed to have effective detection capability even at the initial stage of use.

According to a preferred embodiment, the respiration monitoring module 601 is configured for performing the following steps: acquiring respiratory condition information for analyzing the respiratory condition of the old, analyzing the respiratory condition of the old according to the respiratory condition information, and obtaining the respiratory condition analysis result of the old, wherein: the respiratory condition information at least comprises respiratory frequency information and state mode information, and the step of analyzing the respiratory condition at least comprises the following steps: and obtaining a respiratory condition analysis parameter corresponding to the state mode according to the state mode information, and analyzing the respiratory condition by using the respiratory frequency information and the respiratory condition analysis parameter to obtain a respiratory condition analysis result.

Preferably, the respiratory condition information composed of the obtained respiratory frequency information and the state pattern information is input to the respiratory monitoring module 601 to analyze the respiratory condition of the elderly. Firstly, a preset respiratory condition analysis parameter corresponding to the state mode is obtained according to the state mode information, and then the respiratory condition analysis is carried out on the respiratory frequency information and the respiratory condition analysis parameter, so that the respiratory condition analysis result of the old is obtained. For example, a waveform diagram corresponding to time is obtained according to the breathing frequency information, whether the elderly are in a stable range can be estimated through the distance between peaks, and if the distance between two peaks is 4 seconds, the estimated breathing value is 15 times/minute. Here, the stable range can be defined as 12 to 18 times/min. Preferably, in an early-stage use system of the respiration monitoring hospital bed, the collected respiration conditions of the elderly in different states in daily life need to be pre-stored, so that the time period between wave peaks and the respiration value can be set through the elderly configuration file. And all need instruct data analysis module 1 to send this old person prompt information that falls asleep and this old person awakens prompt information from the sleep state to mobile terminal 3 under the mode of falling asleep and awakening the mode to this provides better guardianship effect for the guardian, and need not the time current state of looking over the old person occasionally, can receive the suggestion so that the guardian in time looks after the very first time that the old person awakened from the sleep state in order to make the guardian look after in time

According to a preferred embodiment, the respiration monitoring module 601 comprises at least a respiration determination unit 501, a respiration recording unit 502 and a respiration rate calculation unit 503, wherein: the respiration determining unit 501 can periodically detect sounds with a specific frequency in the collected respiration condition information and transmit the sounds with the specific frequency to the respiration recording unit 502, and in the case that the respiration recording unit 502 receives the sounds with the specific frequency and detects and records a single complete respiration, the respiration frequency calculating unit 503 can calculate the respiration frequency of the elderly person according to the number of detected complete breaths in unit time and output the respiration frequency information to the data analyzing module 1. In the early-stage use system of the respiration monitoring hospital bed, collected sound frequency characteristics of the elderly in different states in daily life need to be stored, so that the specific frequency can be set through the elderly configuration file. The breath recording unit 502 is used to detect and record a single complete breath in the received sound with specific frequency components. Preferably, the detection of a complete breath comprises two parts: a breath start state and a breath end state are detected. Checking the energy values of the frequency points in the target frequency domain data, if the respiration is not started and the energy values of the frequency points in the target frequency domain are greater than a set upper limit threshold, judging that the respiration is started, and setting the state as a respiration starting state; and if the respiration is started and all the frequency point energy values in the target frequency domain are smaller than the set lower limit threshold, judging that the respiration is finished and setting the state as the respiration finished state. If the breath start and breath end states are continuously experienced, a complete breath is recorded. The respiratory frequency calculation unit 503 is configured to calculate the respiratory frequency of the elderly according to the number of detected complete breaths within a certain time, and output the calculated respiratory frequency information to the data analysis module 1. Preferably, the respiration rate calculating unit 503 first performs an accumulation count on the respiration information output by the audio data processing module as the current respiration rate. A sliding window of length L, L-5 in the example, is then used to keep the number of breaths in real time for L consecutive time points. When the initialization of the sliding window is finished and the length of the sliding window is equal to L, the sliding window continuously moves forwards. Each time the window is advanced, the data at the head of the window, which is the number of breaths before L time, slides out of the window. By using the number of breaths before the L time and the current number of breaths, the number of breaths in the L time can be obtained, and further the average breathing frequency information number/minute in the L time can be obtained. Therefore, the breathing frequency of the old people is obtained by the sound signals collected by the breathing monitoring module 601. Preferably, under the conditions of quiet environment and relatively gentle breathing of the user, the breathing monitoring module 601 does not collect any sound, so that in the whole frequency domain range, the energy of all frequency points is almost 0, and only white noise distributed in the whole frequency band range exists.

According to a preferred embodiment, the respiration monitoring hospital bed further comprises a physical condition acquisition module 2 for detecting physiological information of the elderly and a mobile terminal 3 for operation by a guardian, wherein: the body acquisition module 2 can detect action condition information of the elderly and transmit the action condition information to the data analysis module 1, the data analysis module 1 can generate state mode information corresponding to the action condition information through the body posture evaluation module 602, and the mobile terminal 3 can interact with the data analysis module 1 in the state information and perform body condition analysis to determine a second respiratory abnormality threshold.

According to a preferred embodiment, the step of analyzing the physical condition comprises at least:

s1: the method comprises the steps of obtaining a first input image containing a target object through at least one first direction motion acquisition unit arranged on a respiration monitoring sickbed, and searching and determining at least one first reference image similar to the first input image and a first similarity corresponding to the first reference image based on a local feature matching result between the first input image and a plurality of pre-stored reference images containing the target object.

S2: the method comprises the steps of obtaining a second input image containing a target object through at least one second direction motion acquisition unit arranged on a respiration monitoring sickbed, and searching and determining at least one second reference image similar to the second input image and second similarity corresponding to the second reference image based on a local feature matching result between the second input image and a plurality of pre-stored reference images containing the target object. The first direction action acquisition unit and the second direction action acquisition unit can be respectively for locating the image collector of the position department that can gather old person's facial image on the mattress or the top, can set up respectively in front and back position or about the position, avoid single image acquisition device can not gather the problem of effective image when the old person backs on, the facial image of containing the old person can be gathered to at least one of them in the relative first direction action acquisition unit and the second direction action acquisition unit that set up, guarantee the accurate judgement of health gesture evaluation module to current user's state mode information from this.

S3: at a first moment when the collected respiratory condition information of the old people corresponds to the first respiratory frequency threshold value, the correlation between the physiological information of the old people collected by at least one body condition collecting module 2 arranged on the respiratory monitoring sickbed and the preset physiological information in the configuration file of the old people is analyzed, and a second moment is determined when abnormal physiological information corresponding to the correlation is generated. Preferably, the correlation is a one-to-one correspondence relationship, and the physiological information preset by the guardian and collected along with time can be updated in advance, so that the mattress can be suitable for long-term use.

S4: and under the condition that the higher one of the first similarity and the second similarity is higher than a preset similarity threshold, generating state mode information corresponding to the higher one of the first similarity and the second similarity, and indicating the respiration monitoring module 601 to acquire and output a second respiration frequency threshold corresponding to the second moment. And obtaining the first similarity or the second similarity with a higher numerical value from the first similarity and the second similarity, comparing the first similarity or the second similarity with a preset similarity threshold, and indicating that the current old people are the state mode corresponding to the reference image under the condition that the input image and the reference image meet the similarity threshold. The reference image is pre-stored after being collected and edited by a guardian and the like according to a mode corresponding to the state mode information, and the corresponding state mode information can comprise a plurality of pieces of information with different recognizable facial features, such as a sleeping state of the old, a eating state of the old, a crying and screaming state of the old or a playing and screaming state of the old, so that the current state mode information of the old can be accurately determined through local facial feature comparison. Because the normal heart rate range threshold of the old is changed under different state mode information, the traditional single threshold form is changed, and the judgment of whether the first respiratory rate threshold accords with the effective early warning can be carried out based on the corresponding different heart rate range thresholds, so that the individual differences of different old under different states can be better met. Preferably, the first breathing rate threshold is also stored separately according to different status pattern information.

According to a preferred embodiment, the body posture assessment module 602 is configured for performing the following steps: the action condition information for detecting the action condition of the old is acquired through the physical condition acquisition module 2, the action condition of the old is analyzed according to the action condition information, and the state mode information corresponding to the action condition information is obtained through analysis.

Preferably, the body posture evaluation module 602 detects the body movement condition of the elderly, detects the collected body movement according to a certain periodicity, obtains a movement with a movement amplitude in a specific amplitude range, records the movement in the specific amplitude range as movement amplitude information, compares the number of times of the movement amplitude information detected in one period with a preset number threshold, and analyzes to obtain state mode information corresponding to the number of times of the movement amplitude information. Preferably, the motion amplitude information detected by the body posture assessment module 602 includes a large motion amplitude and a small motion amplitude, and if the detected motion amplitude is greater than a preset motion amplitude threshold, the motion amplitude is recorded as a large motion amplitude. And if the detected action amplitude is smaller than a preset action amplitude threshold value, recording the action amplitude as a small action amplitude at one time. Preferably, the state mode of the elderly is determined according to the number of times of the motion amplitude information detected within 3 minutes of one cycle and a preset number threshold of 4 times: and if the old person respectively detects more than 4 times of small motion amplitudes in two continuous periods, judging that the old person is in a quiet mode. And if the old person successively and respectively detects the small action amplitude for more than 4 times and the small action amplitude for less than 2 times in two continuous periods, judging that the old person is in the sleep mode. And if the old person successively and respectively detects the small action amplitude less than 2 times and the small action amplitude/large action amplitude more than 4 times in two continuous periods, judging that the old person is in the awakening mode. And if the old person detects small motion amplitude less than 2 times in two continuous periods, judging that the old person is in the sleep mode. Preferably, the guardian can adjust the periodic time period and the preset time threshold value through the mobile terminal 3, so that the respiration monitoring sickbed can be suitable for different conditions of different old people, and the state mode of the old people can be accurately judged.

According to a preferred embodiment, the updating process of the adult profile is configured to store the adult respiration status in the adult profile and/or in the mobile terminal (3) in a time information-dependent manner, including in a manner that the adult respiration status of the same time period on different dates is presented in different shaped curves and/or graphs.

According to a preferred embodiment, the step of physical condition analysis comprises at least:

s1: the analysis is performed based on the correlation between the physiological information of the elderly collected by the physical condition collection module 2 and the preset physiological information in the elderly profile.

S2: and indicating the data analysis module 1 to send abnormal physiological information prompt and/or early warning prompt to the mobile terminal 3 based on the abnormal physiological information corresponding to the correlation.

According to a preferred embodiment, the data analysis module 1 is further provided with a nursing suggestion module 603 which is associated with medical information of a third-party medical institution and interacts with the physical condition acquisition module, the diagnosis suggestion module performs diagnosis analysis based on abnormal physiological information of the elderly to obtain corresponding nursing suggestions and instructs the data analysis module 1 to send nursing suggestion prompt information to the mobile terminal 3, and/or the nursing suggestion module 603 matches the third-party medical institution of the area where the elderly is located based on geographical position information determined by the respiratory monitoring hospital bed, and instructs the data analysis module 1 to send disease alert prompt information to the mobile terminal 3 about disease alert information of nearby areas and/or specific time periods obtained from the third-party medical institution.

For example, when the nursing advising module 603 sends out nursing advising information, such as more sun exposure, to the mobile terminal 3 operated by the guardian, based on the information about the diseases and infectious diseases that are likely to occur and are provided by the third-party medical institution in the community area of the elderly, the nursing advising module enhances the physical fitness of the patient, usually takes care of preventing the patient from catching cold and getting surprised, or reduces the frequency of going out to avoid the nursing advices such as uncontrollable environmental factors, and reduces the probability of the patient being likely to suffer from the elderly with weak physical fitness due to lack of professional knowledge, so that the guardian can systematically and scientifically care the elderly according to the nursing advices. For example, the sound collection device in the body condition collection module 2 can collect the sound characteristics of the elderly for a long time, and analyze and diagnose the body condition of the elderly by combining the respiratory condition information collected based on the microwave signal. Generally, if the old people have edema in throat and trachea, the old people can hear a throat wheezing close to the oral cavity of the old people, which is completely different from the snoring sound, and the condition belongs to abnormal breathing phenomenon. The nursing advising module 603 instructs the data analyzing module 1 to send out, to the mobile terminal 3, prompt information that the guardian should send the elderly to the hospital for diagnosis and treatment in time, or advise to take care of preventing cold and convulsion at ordinary times so as to avoid respiratory tract infection and throat spasm.

According to a preferred embodiment, the body posture evaluation module 602 includes one or more of an infrared sensor, a vibration sensor and a camera, the respiration monitoring module 601 includes a microwave sensor, the body condition acquisition module 2 includes one or more of a body temperature sensor, a heart rate sensor or a piezoelectric sensor, and the mobile terminal 3 includes one or more of a computer, a mobile phone or a tablet computer.

According to a preferred embodiment, the respiration monitoring device at least comprises a bed body and an intelligent mattress arranged on the bed body, the intelligent mattress at least comprises a respiration monitoring module 601 and at least one body posture evaluation module 602 which are both connected with the data analysis module 1, and the steps of the respiration monitoring method at least comprise:

s1: the action condition information of the old people is collected through the physical condition collecting module 2 and is transmitted to the data analysis module 1.

S2: by generating state pattern information corresponding to the action condition information by the body posture evaluating module 602, the mobile terminal 3 interacts with the data analyzing module 1 for state information and performs body condition analysis to determine a second respiratory abnormality threshold.

S3: based on the state mode information generated by the body posture evaluation module 602, the elderly people profile in the corresponding state mode is extracted to determine the first respiratory frequency threshold, and a third respiratory frequency threshold is generated by comparing the first respiratory frequency threshold with the second respiratory anomaly threshold, so that the update process of the respiratory frequency threshold in the state mode corresponding to the elderly people profile is completed.

S4: the correlation between the physiological information of the old person collected by the physical condition collection module 2 and the preset physiological information in the old person configuration file is analyzed, and the abnormal physiological information indication data analysis module 1 corresponding to the correlation sends an abnormal physiological information prompt and/or an early warning prompt to the mobile terminal 3.

It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.

Claims

1. A respiration monitoring hospital bed for the elderly, characterized in that the respiration monitoring hospital bed comprises at least a bed body and an intelligent mattress arranged on the bed body, the intelligent mattress comprises at least a respiration monitoring module (601) and at least one body posture evaluation module (602) both connected with a data analysis module (1), wherein,

the data analysis module (1) extracts an elderly configuration file in a corresponding state mode based on the state mode information generated by the body posture evaluation module (602) so as to determine a first respiratory rate threshold value, and acquires elderly respiratory information through the respiratory monitoring module (601) so as to determine a second respiratory rate threshold value,

under the condition that the first respiratory frequency threshold value is different from the second respiratory frequency threshold value, the data analysis module (1) generates a third respiratory frequency threshold value in the state mode according to the mode of increasing the proportion of the second respiratory frequency threshold value and decreasing the proportion of the first respiratory frequency threshold value, and accordingly the updating process of the respiratory frequency threshold value in the state mode corresponding to the elderly people profile is completed.

2. The respiration monitoring hospital bed according to claim 1, wherein the respiration monitoring module (601) is configured for performing the steps of:

acquiring respiratory condition information for analyzing the respiratory condition of the old, analyzing the respiratory condition of the old according to the respiratory condition information, and obtaining the respiratory condition analysis result of the old, wherein:

the respiratory condition information at least comprises respiratory frequency information and state mode information, and the step of analyzing the respiratory condition at least comprises the following steps: and obtaining a breathing condition analysis parameter corresponding to the state mode according to the state mode information, and carrying out breathing condition analysis on the breathing frequency information and the breathing condition analysis parameter to obtain a breathing condition analysis result.

3. The respiratory monitoring hospital bed according to one of the preceding claims, characterized in that the respiratory monitoring module (601) comprises at least a respiratory determination unit (501), a respiratory recording unit (502) and a respiratory frequency calculation unit (503), wherein:

the respiration determination unit (501) is capable of periodically detecting a specific frequency sound in the acquired respiration condition information and transmitting the specific frequency sound to the respiration recording unit (502),

under the condition that the respiration recording unit (502) receives the specific frequency sound and detects and records single complete respiration, the respiration frequency calculating unit (503) can calculate the respiration frequency of the elderly according to the number of detected complete respiration in unit time and output the respiration frequency information to the data analysis module (1).

4. The respiratory monitoring hospital bed according to one of the preceding claims, further comprising a physical condition acquisition module (2) for detecting physiological information of elderly people and a mobile terminal (3) for operation by a guardian, wherein:

the body acquisition module (2) can detect the action condition information of the old and transmit the action condition information to the data analysis module (1),

the data analysis module (1) is capable of generating state pattern information corresponding to the motion status information through the body posture evaluation module (602),

the mobile terminal (3) is capable of interacting with the data analysis module (1) for the status information and performing a physical condition analysis to determine a second breathing anomaly threshold.

5. The respiratory monitoring hospital bed according to one of the preceding claims, characterized in that the step of physical condition analysis comprises at least:

acquiring a first input image containing a target object through at least one first direction motion acquisition unit arranged on the respiratory monitoring hospital bed, and searching and determining at least one first reference image similar to the first input image and a first similarity corresponding to the first reference image based on a local feature matching result between the first input image and a plurality of pre-stored reference images containing the target object;

acquiring a second input image containing a target object through at least one second direction motion acquisition unit arranged on the respiration monitoring hospital bed, and retrieving and determining at least one second reference image similar to the second input image and a second similarity corresponding to the second reference image based on a local feature matching result between the second input image and a plurality of pre-stored reference images containing the target object;

analyzing the correlation between the physiological information of the old person acquired by at least one body condition acquisition module (2) arranged on the respiration monitoring sickbed and the preset physiological information in the old person configuration file at a first moment when the acquired respiratory condition information of the old person corresponds to the first respiration abnormal threshold value, and determining a second moment when generating abnormal physiological information corresponding to the correlation;

and under the condition that the higher one of the first similarity and the second similarity is higher than a preset similarity threshold, generating state mode information corresponding to the higher one of the first similarity and the second similarity, and indicating a respiration monitoring module (601) to collect and output a second abnormal respiration threshold corresponding to the second moment.

6. The respiratory monitoring hospital bed according to one of the preceding claims, characterized in that the body posture assessment module (602) is configured for performing the following steps: action condition information used for detecting action conditions of the old is obtained through the physical condition acquisition module (2), action condition analysis is carried out on the old according to the action condition information, and state mode information corresponding to the action condition information is obtained through analysis.

7. The respiratory monitoring hospital bed according to one of the preceding claims, wherein the update process of the elderly profile is configured to:

and storing the breathing condition of the old people in the old people configuration file and/or the mobile terminal (3) in a time information related mode, wherein the mode comprises a mode of displaying the breathing condition of the old people in curves and/or graphs of different shapes according to the same time period on different dates.

8. The respiratory monitoring hospital bed according to one of the preceding claims, characterized in that the step of physical condition analysis comprises at least:

analyzing the correlation between the physiological information of the old person acquired by the physical condition acquisition module (2) and the preset physiological information in the old person configuration file, and indicating the data analysis module (1) to send an abnormal physiological information prompt and/or an early warning prompt to the mobile terminal (3) based on the abnormal physiological information corresponding to the correlation.

9. Breathing monitoring hospital bed according to one of the preceding claims, wherein the data analysis module (1) is further provided with a care advice module (603) associated with medical information of a third-party medical institution and interacting with the physical condition acquisition module, the diagnosis advice module performs a diagnosis analysis based on the abnormal physiological information of the elderly person to obtain a corresponding care advice and instructs the data analysis module (1) to issue a care advice prompt message to the mobile terminal (3), and/or

The nursing suggestion module (603) matches the third-party medical institution of the region where the old people are located based on the geographical position information determined by the respiratory monitoring hospital bed, and indicates the disease warning information of the nearby region and/or the specific time period acquired from the third-party medical institution to the data analysis module (1) to send out the disease warning prompt information to the mobile terminal (3).

10. The utility model provides a breathe monitoring method to old person, its characterized in that, breathe monitoring devices include the bed body at least and set up in intelligent mattress on the bed body, intelligent mattress includes at least breathing monitoring module (601) and at least one health gesture evaluation module (602) all be connected with data analysis module (1), the step of breathing monitoring method includes at least:

the action condition information of the old people is collected through a body condition collecting module (2) and transmitted to a data analysis module (1), the data analysis module (1) generates state mode information corresponding to the action condition information through a body posture evaluating module (602), a mobile terminal (3) interacts with the data analysis module (1) through the state information and executes body condition analysis to determine a second respiratory abnormity threshold value,

based on the state mode information generated by the body posture evaluation module (602), an elderly person configuration file in a corresponding state mode is extracted so as to determine a first respiratory frequency threshold value, and a third respiratory frequency threshold value is generated in a mode of comparing with a second respiratory abnormity threshold value so as to complete the updating process of the respiratory frequency threshold value in the state mode corresponding to the elderly person configuration file,