Heart health monitoring method and device and mattress

Abstract

The invention discloses a heart health monitoring method and device and a mattress, and the method comprises the steps: obtaining a heartbeat impact signal of a human body through a first type pressure sensor when determining that the human body lies on the mattress; the first type pressure sensor is arranged in the mattress; acquiring a heart rate variability index according to the heartbeat impact signal; the myocardial infarction risk condition of the human body is determined according to the heart rate variability index, so that when the user sleeps at night, the heartbeat condition can be monitored for a long time without wearing additional medical equipment, the myocardial infarction condition of the human body can be detected, sleep of the user is not affected, and the user experience is improved. And the comfort can be considered on the basis of heart monitoring.

Description

Technical Field

[0001] The present invention relates to the field of physiological monitoring technology, and in particular to a heart health monitoring method, device and mattress. Background Art

[0002] Acute myocardial infarction is caused by myocardial ischemia and necrosis, increased cardiac sympathetic nerve activity, decreased cardiac vagal nerve tension, and decreased heart rate variability (HRV). That is, acute myocardial infarction has a considerable correlation with HRV. The traditional way to detect myocardial infarction is generally to measure HRV by wearing medical equipment for a long time, and then judge the user's myocardial infarction risk through HRV evaluation indicators.

[0003] Wearing medical devices for a long time will cause discomfort to the human body, affect sleep, and make it impossible to balance health risk detection and life comfort. Summary of the invention

[0004] The present invention provides a heart health monitoring method, device and mattress, which can monitor the heart condition of a human body for a long time without reducing comfort and affecting sleep.

[0005] According to one aspect of the present invention, there is provided a heart health monitoring method, comprising:

[0006] When it is determined that a human body is lying on the mattress, a heartbeat impact signal of the human body is obtained through a first type of pressure sensor; the first type of pressure sensor is arranged in the mattress;

[0007] Acquire a heart rate variability index according to the heartbeat impulse signal;

[0008] The risk of myocardial infarction in a human body is determined according to the heart rate variability index.

[0009] Optionally, obtaining a heart rate variability index according to the heartbeat impulse signal includes:

[0010] Dividing the heartbeat impulse signal into equal time intervals;

[0011] According to the heartbeat impulse signal in each time interval, an average heartbeat interval value corresponding to each time interval is obtained;

[0012] The heart rate variability index is determined based on the average of the heart beat intervals for each of the time intervals.

[0013] Optionally, obtaining the average heartbeat interval corresponding to each time interval according to the heartbeat impulse signal in each time interval includes:

[0014] Acquire the signal frequency of the heartbeat impulse signal within each time interval;

[0015] Acquire a heartbeat impulse signal whose signal frequency is within a preset frequency range within each of the time intervals;

[0016] Determine the heartbeat impulse signal whose signal frequency is within the preset frequency range in each of the time intervals as a valid heartbeat impulse signal;

[0017] According to the effective heartbeat impulse signal in each of the time intervals, an average heartbeat interval value corresponding to each of the time intervals is obtained.

[0018] Optionally, obtaining the heartbeat impulse signal whose signal frequency is within the preset frequency range in each of the time intervals includes:

[0019] Based on the Butterworth filter, a heartbeat impulse signal whose signal frequency is within the preset frequency range in each time interval is obtained.

[0020] Optionally, the preset frequency range is: 0.8Hz~20Hz.

[0021] Optionally, determining the heart rate variability index according to the average value of the heartbeat intervals of each time interval includes:

[0022] Determine the total heartbeat interval average value of the detection process according to the heartbeat interval average value of the time intervals of each segment;

[0023] Based on the first formula, the heart rate variability index is determined according to the total heartbeat interval average value and the heartbeat interval average value of each time interval;

[0024] The first formula is:

[0025] Wherein, xi is the average heartbeat interval of the time interval of the i-th segment, is the total heartbeat interval average value of the detection process, n is the total number of the time intervals, i and n are both natural numbers greater than zero, and i≤n.

[0026] Optionally, determining the risk of myocardial infarction of a human body according to the heart rate variability index includes:

[0027] Determining whether the heart rate variability index is lower than a preset index value;

[0028] If so, it is determined that the human body has a risk of myocardial infarction.

[0029] According to another aspect of the present invention, there is provided a heart health monitoring device, comprising:

[0030] A signal acquisition module, used to acquire a heartbeat signal of a human body through a first type of pressure sensor when it is determined that the human body is lying on the mattress; the first type of pressure sensor is arranged in the mattress;

[0031] An index acquisition module, used for acquiring a heart rate variability index according to the heartbeat impulse signal;

[0032] The detection module is used to determine the risk of myocardial infarction in a human body according to the heart rate variability.

[0033] According to another aspect of the present invention, there is provided a mattress, comprising: a mattress body, a first type of pressure sensor and a controller;

[0034] The first type of pressure sensor and the controller are both arranged on the mattress body;

[0035] The first type of pressure sensor is used to collect a heartbeat impact signal of a human body and send the heartbeat impact signal to the controller;

[0036] The controller is used to execute the above-mentioned heart health monitoring method.

[0037] The myocardial infarction detection method provided by the present invention, by setting a first type of pressure sensor capable of detecting heartbeat impact signals in a mattress, can obtain the heartbeat impact signal of the human body through the first type of pressure sensor when it is determined that the human body is lying on the mattress, and then obtain the heart rate variability index for detecting the risk of myocardial infarction according to the heartbeat impact signal, so that the myocardial infarction risk of the human body can be detected according to the heart rate variability index. In this way, when the user sleeps at night, the heartbeat condition can be monitored for a long time without wearing additional medical equipment, thereby realizing the detection of myocardial infarction of the human body, will not affect the user's sleep, and can take into account comfort while realizing heart monitoring.

[0038] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0040] Figure 1 is a flow chart of a heart health monitoring method provided by an embodiment of the present invention;

[0041] Figure 2 is a flow chart of another heart health monitoring method provided by an embodiment of the present invention;

[0042] Figure 3 is a flow chart of another heart health monitoring method provided by an embodiment of the present invention;

[0043] Figure 4 This is a schematic diagram of a heartbeat impulse signal provided by an embodiment of the present invention;

[0044] Figure 5 is a schematic diagram of an effective heartbeat impulse signal provided by an embodiment of the present invention;

[0045] Figure 6 It is a structural schematic diagram of a heart health monitoring device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0047] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0048] An embodiment of the present invention provides a heart health monitoring method that can monitor the heart condition of a human body for a long time without reducing comfort or affecting sleep. The heart health monitoring method can be performed by a heart health monitoring device provided by an embodiment of the present invention. The heart health monitoring device can be implemented in the form of software and / or hardware, and the heart health monitoring device can be configured in a controller of a mattress.

[0049] Figure 1The present invention provides a flowchart of a heart health monitoring method. Figure 1 As shown, the heart health monitoring method includes:

[0050] S110. When it is determined that a human body is lying on the mattress, a heartbeat signal of the human body is obtained through a first type of pressure sensor.

[0051] Among them, the first type of pressure sensor is arranged on the mattress.

[0052] Specifically, the first type of pressure sensor for monitoring the heartbeat impact signal can be arranged on the mattress body near the pillow, can be arranged inside the mattress body, or can be laid on the surface or below the mattress body. In a preferred embodiment, the first type of pressure sensor can be laid on the surface of the mattress body near the pillow, so that when a person lies on the mattress, the first type of pressure sensor can be as close to the human heart as possible, and can more accurately obtain the impact pressure signal BCG (i.e., heartbeat impact signal) generated by the human heartbeat. Among them, the first type of pressure sensor can be a high-precision piezoelectric ceramic sensor, which can detect the impact pressure with a smaller pressure value generated by the heartbeat.

[0053] It is understandable that a second type of pressure sensor can also be set in the mattress body. The second type of pressure sensor can detect pressure signals with larger pressure values ​​on the mattress. In this way, the pressure signal can be obtained through the second type of pressure sensor to detect whether there is someone on the mattress, and the sleeping position of the human body on the mattress can be detected.

[0054] S120: Obtain a heart rate variability index according to the heartbeat impulse signal.

[0055] Specifically, heart rate variability can reflect the changes in the differences between successive heartbeat cycles. It contains information about the regulation of the cardiovascular system by neurohumoral factors and is a valuable indicator for predicting sudden cardiac death and arrhythmia events. Therefore, it is possible to predict the condition of cardiovascular diseases based on heart rate variability, so that they can be prevented. The heart rate variability index is an index used to evaluate heart rate variability, and the acquired heartbeat impulse signal can be processed and calculated, so that the heart rate variability index can be determined based on the heartbeat impulse signal.

[0056] S130. Determine the risk of myocardial infarction in a human body based on the heart rate variability index.

[0057] Specifically, after obtaining the heart rate variability index, the heart rate variability index can be analyzed to determine whether the user on the mattress has a risk of myocardial infarction. In a feasible embodiment, when it is determined that the user on the mattress has a risk of myocardial infarction, the relevant alarm device can be controlled to give an alarm prompt so as to intervene in time. In this way, when the user sleeps at night, the heartbeat can be monitored for a long time without wearing additional medical equipment, thereby realizing the detection of myocardial infarction in the human body, which will not affect the user's sleep and can take into account comfort while realizing heart monitoring.

[0058] The heart health monitoring method provided by the embodiment of the present invention, by setting a first type of pressure sensor capable of detecting heartbeat impact signals in a mattress, can obtain the heartbeat impact signal of the human body through the first type of pressure sensor when it is determined that the human body is lying on the mattress, and then obtain the heart rate variability index for detecting the risk of myocardial infarction based on the heartbeat impact signal, so that the myocardial infarction risk of the human body can be detected according to the heart rate variability index. In this way, the user does not need to wear additional medical equipment when sleeping at night to monitor the heartbeat condition for a long time, thereby realizing the detection of myocardial infarction in the human body, will not affect the user's sleep, and can take into account comfort while realizing heart monitoring.

[0059] Optional, Figure 2 is a flow chart of another heart health monitoring method provided by an embodiment of the present invention. Figure 2 As shown, the heart health monitoring method includes:

[0060] S210: When it is determined that the human body is lying on the mattress, a heartbeat impact signal of the human body is obtained through a first type of pressure sensor.

[0061] Among them, the first type of pressure sensor is arranged on the mattress.

[0062] S220, dividing the heartbeat impulse signal into equal time intervals.

[0063] Specifically, the time interval can be determined based on the total time that the human body lies on the mattress. For example, if the human body lies on the bed for a short time, the time interval can be set to be shorter, and if the human body lies on the bed for a long time, the time interval can be set to be longer. In one embodiment, after the human body leaves the mattress, the total duration of the human body lying on the mattress can be obtained, and the time interval can be determined based on the total duration. In another embodiment, in the process of obtaining the heartbeat impulse signal while the human body lies on the mattress, the duration of the human body lying on the mattress can be obtained in real time, and the time interval can be updated based on the duration, thereby achieving real-time monitoring of the human heart condition.

[0064] Exemplarily, after determining the length of the time interval, the heartbeat signal is divided into equal time intervals. During the division process, if the final remaining time length is less than the length of a time interval, the heartbeat signal obtained in this part of the time period can be discarded as invalid data.

[0065] S230. Obtain an average value of the heartbeat intervals corresponding to each time interval according to the heartbeat impulse signal in each time interval.

[0066] Specifically, the average heartbeat interval value is the average value of the time intervals between two adjacent heartbeats. The heartbeat impulse signal can be regarded as a heartbeat, and the time interval between two adjacent heartbeat impulse signals can be obtained as the heartbeat interval in each time interval, so that the sum of each heartbeat interval can be divided by the number of heartbeat intervals as the average heartbeat interval value.

[0067] S240: Determine a heart rate variability index according to the average heart rate interval of each time interval.

[0068] Specifically, an evaluation index for evaluating heart rate variability, ie, a heart rate variability index SDANN, may be calculated according to the average value of the heartbeat intervals of each time interval.

[0069] For example, when determining the heart rate variability index according to the average heart rate interval of each time interval, the total heart rate interval average value of the detection process can be determined according to the average heart rate interval of each time interval, and then the heart rate variability index can be determined based on the total heart rate interval average value and the average heart rate interval of each time interval based on the first formula; wherein the first formula is: SDANN= x i is the average heartbeat interval of the i-th time interval, is the average value of the total heartbeat interval of the detection process, n is the total number of time intervals, i and n are both natural numbers greater than zero, and i≤n.

[0070] Understandably, Through the first formula, the heart rate variability index can be calculated, which is equivalent to the standard deviation of the time interval between heart beats.

[0071] For example, taking the time a person lies in bed for 8 hours, the time interval can be set to 5 minutes, that is, the acquired heartbeat impulse signal is divided into 96 segments with equal time intervals of 5 minutes each. The NN interval within each 5-minute segment is calculated as the average heartbeat interval value, and the average value of the 96 NN intervals is the heart rate variability indicator SDANN.

[0072] S250, determining whether the heart rate variability index is lower than a preset index value; if so, executing step S260; if not, executing step S270.

[0073] S260. Determine whether a person is at risk of myocardial infarction.

[0074] S270. Determine that the human body is not at risk of myocardial infarction.

[0075] Specifically, the smaller the heart rate variability index is, the smaller the change in the heartbeat interval during the detection time is, and the greater the risk of myocardial infarction of the user. The preset index value can be a risk threshold of myocardial infarction, for example, it can be 20ms. When the obtained heart rate variability index is lower than the preset index value, it can be determined that the human body has a risk of myocardial infarction, and an alarm can be issued at this time. If the heart rate variability index is greater than or equal to the preset index value, it is determined that the human body has no risk of myocardial infarction.

[0076] Optional, Figure 3 is a flow chart of another heart health monitoring method provided by an embodiment of the present invention. Figure 3 As shown, the heart health monitoring method includes:

[0077] S310: When it is determined that a human body is lying on the mattress, a heartbeat signal of the human body is obtained through a first type of pressure sensor.

[0078] Among them, the first type of pressure sensor is arranged in the mattress.

[0079] S320, dividing the heartbeat impulse signal into equal time intervals.

[0080] S330, obtaining the signal frequency of the heartbeat impulse signal in each time interval.

[0081] S340, obtaining a heartbeat impulse signal whose signal frequency is within a preset frequency range in each time interval.

[0082] S350: Determine the heartbeat impulse signal whose signal frequency is within a preset frequency range in each time interval as a valid heartbeat impulse signal.

[0083] S360: Obtain the average heartbeat interval value corresponding to each time interval according to the effective heartbeat impulse signal in each time interval.

[0084] Specifically, after obtaining the heartbeat impulse signal provided by the first type of pressure sensor, the obtained raw data can be first filtered, that is, the signal frequency of the obtained heartbeat impulse signal can be obtained, and the heartbeat impulse signal whose signal frequency is within the preset frequency range can be obtained by filtering. The heartbeat signal whose signal frequency is within the preset frequency range in each time interval can be retained and used as a valid heartbeat impulse signal. Then, in each time interval, the time interval between two adjacent valid heartbeat impulse signals is used as the heartbeat interval, so that the average heartbeat interval corresponding to each time interval can be obtained, the interference signal in the raw data can be removed, the risk detection procedure of myocardial infarction can be simplified, and the accuracy of risk detection of myocardial infarction can be improved.

[0085] The preset frequency range may be a frequency range corresponding to the pressure generated by the heartbeat, for example, 0.8 Hz to 20 Hz.

[0086] In one embodiment, the frequency of each raw data can be matched with a preset frequency range to obtain a valid heartbeat impulse signal. Alternatively, for example, a heartbeat impulse signal whose signal frequency is within a preset frequency range in each time interval can be obtained based on a Butterworth filter. The parameters of the Butterworth filter can be calibrated experimentally, and then the Butterworth filter can be directly used for filtering to obtain a valid heartbeat impulse signal, which can improve the efficiency of obtaining a valid heartbeat impulse signal, thereby improving the efficiency of risk detection of myocardial infarction.

[0087] Figure 4 is a schematic diagram of a heartbeat impulse signal provided by an embodiment of the present invention. Figure 5 FIG. 1 is a schematic diagram of an effective heartbeat impulse signal provided by an embodiment of the present invention. In the figure, the horizontal axis is time (unit: ms) and the vertical axis is signal strength. Figure 4 The original data signal before filtering has more burrs, and it is not easy to obtain the heartbeat interval between two adjacent heartbeat impulse signals (that is, the time interval between two adjacent peaks). After filtering with the Butterworth filter, the effective heartbeat impulse signal is more obvious, which makes it easy to obtain the heartbeat interval between two adjacent effective heartbeat impulse signals.

[0088] S370, determining a heart rate variability index according to the average heart rate interval of each time interval.

[0089] S380. Determine the risk of myocardial infarction in a human body based on the heart rate variability index.

[0090] Based on the same inventive concept, an embodiment of the present invention further provides a heart health monitoring device, which is used to execute the heart health monitoring detection method provided by any embodiment of the present invention. The heart health monitoring device can be implemented by software and / or hardware. Therefore, the heart health monitoring device provided by an embodiment of the present invention includes the technical features of the heart health monitoring detection method provided by any embodiment of the present invention, and can achieve the beneficial effects of the heart health monitoring method provided by any embodiment of the present invention. The similarities can be referred to the above description of the heart health monitoring method provided by the embodiment of the present invention, and will not be repeated here.

[0091] Optional, Figure 6 is a schematic diagram of the structure of a heart health monitoring device provided by an embodiment of the present invention. Figure 6 As shown, the heart health monitoring device includes a signal acquisition module 100, which is used to obtain a heartbeat impact signal of a human body through a first type of pressure sensor when it is determined that the human body is lying on a mattress; the first type of pressure sensor is arranged on the mattress; an index acquisition module 200, which is used to obtain a heart rate variability index according to the heartbeat impact signal; and a detection module 300, which is used to determine the risk of myocardial infarction of the human body according to the heart rate variability.

[0092] The heart health monitoring device provided by the embodiment of the present invention, by setting a first type of pressure sensor capable of detecting heartbeat impact signals in the mattress, can obtain the heartbeat impact signal of the human body provided by the first type of pressure sensor through the signal acquisition module when it is determined that the human body is lying on the mattress, and then obtain the heart rate variability index for detecting the risk of myocardial infarction according to the heartbeat impact signal through the index acquisition module, so that the myocardial infarction risk of the human body can be detected according to the heart rate variability index through the detection module. In this way, the user does not need to wear additional medical equipment to monitor the heartbeat for a long time when sleeping at night, thereby realizing the detection of myocardial infarction in the human body, which will not affect the user's sleep and can take into account comfort while realizing heart monitoring.

[0093] Optionally, the indicator acquisition module includes a signal division submodule, which is used to divide the heartbeat impulse signal into equal time intervals; a heartbeat interval average value acquisition submodule, which is used to obtain the heartbeat interval average value corresponding to each time interval based on the heartbeat impulse signal in each time interval; and a heart rate variability indicator acquisition submodule, which is used to determine the heart rate variability indicator based on the heartbeat interval average value of each time interval.

[0094] Optionally, the heartbeat interval average value acquisition submodule includes a signal frequency acquisition unit, which is used to acquire the signal frequency of the heartbeat impact signal within each time interval; a filtering unit, which is used to acquire the heartbeat impact signal within each time interval, whose signal frequency is within a preset frequency range; an effective heartbeat impact signal acquisition unit, which is used to determine the heartbeat impact signal within each time interval, whose signal frequency is within the preset frequency range, as a valid heartbeat impact signal; and a heartbeat interval average value acquisition unit, which is used to acquire the heartbeat interval average value corresponding to each time interval based on the effective heartbeat impact signal within each time interval.

[0095] Optionally, the filtering unit includes a filtering subunit, which is used to obtain a heartbeat impulse signal whose signal frequency is within a preset frequency range in each time interval based on a Butterworth filter.

[0096] Optionally, the preset frequency range is: 0.8Hz~20Hz.

[0097] Optionally, the heart rate variability index acquisition submodule includes a total heartbeat interval average value acquisition unit, which is used to determine the total heartbeat interval average value of the detection process according to the heartbeat interval average value of each time interval; a heart rate variability index determination unit, which is used to determine the heart rate variability index according to the total heartbeat interval average value and the heartbeat interval average value of each time interval based on a first formula; the first formula is: Among them, x i is the average heartbeat interval of the i-th time interval, is the average value of the total heartbeat interval of the detection process, n is the total number of time intervals, i and n are both natural numbers greater than zero, and i≤n.

[0098] Optionally, the detection module includes a judgment submodule, used to judge whether the heart rate variability index is lower than a preset index value; a first detection submodule, used to determine that the human body has a risk of myocardial infarction when the judgment submodule determines that the heart rate variability index is lower than a preset index value.

[0099] Based on the same inventive concept, an embodiment of the present invention further provides a mattress, which includes: a mattress body, a pressure sensor and a controller, wherein the controller is used to execute the heart health monitoring method provided by any embodiment of the present invention. Therefore, the mattress provided by the embodiment of the present invention includes the technical features of the heart health monitoring method provided by any embodiment of the present invention, and can achieve the beneficial effects of the heart health monitoring method provided by any embodiment of the present invention. The similarities can be referred to the above description of the heart health monitoring method provided by the embodiment of the present invention, and will not be repeated here.

[0100] Exemplarily, the first type of pressure sensor and the controller are both arranged on the mattress body, and the first type of pressure sensor and the controller can be communicatively connected and / or electrically connected. The first type of pressure sensor is used to collect the heartbeat impact signal of the human body and send the heartbeat impact signal to the controller.

[0101] Specifically, the first type of pressure sensor can be arranged in a position close to the pillow in the mattress, can be arranged inside the mattress body, or can be laid on the surface or below the mattress body. In a preferred embodiment, the first type of pressure sensor can be laid on the surface of the mattress body close to the pillow, so that when a person lies on the mattress, the first type of pressure sensor can be as close to the heart of the person as possible, and can more accurately obtain the impact pressure signal BCG (i.e., heartbeat impact signal) generated by the heartbeat of the person.

[0102] A second type of pressure sensor can also be set in the mattress body. The second type of pressure sensor can be evenly laid in the mattress body. The second type of pressure sensor can obtain a pressure signal with a larger pressure value on the mattress. In this way, the pressure signal can be obtained through the second type of pressure sensor to detect whether there is someone on the mattress, and the sleeping position of the human body on the mattress can be detected.

[0103] The first type of pressure sensor and the second type of pressure sensor may both be piezoelectric ceramic sensors, and the detection accuracy of the first type of pressure sensor is higher than that of the second type of pressure sensor.

[0104] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0105] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A heart health monitoring method, characterized in that: include: When it is determined that a human body is lying on the mattress, a heartbeat impact signal of the human body is obtained through a first type of pressure sensor; the first type of pressure sensor is arranged on the mattress; Acquire a heart rate variability index according to the heartbeat impulse signal; The risk of myocardial infarction in a human body is determined according to the heart rate variability index.

2. The heart health monitoring method according to claim 1, characterized in that: Acquiring a heart rate variability index according to the heartbeat impulse signal includes: Dividing the heartbeat impulse signal into equal time intervals; According to the heartbeat impulse signal in each time interval, an average heartbeat interval value corresponding to each time interval is obtained; The heart rate variability index is determined based on the average of the heart beat intervals for each of the time intervals.

3. The heart health monitoring method according to claim 2, characterized in that: According to the heartbeat impulse signal in each time interval, obtaining the heartbeat interval average value corresponding to each time interval includes: Acquire the signal frequency of the heartbeat impulse signal within each time interval; Acquire a heartbeat impulse signal whose signal frequency is within a preset frequency range within each of the time intervals; Determine the heartbeat impulse signal whose signal frequency is within the preset frequency range in each of the time intervals as a valid heartbeat impulse signal; According to the effective heartbeat impulse signal in each of the time intervals, an average heartbeat interval value corresponding to each of the time intervals is obtained.

4. The heart health monitoring method according to claim 3, characterized in that: Acquiring a heartbeat impulse signal whose signal frequency is within the preset frequency range in each of the time intervals, comprising: Based on the Butterworth filter, a heartbeat impulse signal whose signal frequency is within the preset frequency range in each time interval is obtained.

5. The heart health monitoring method according to claim 3, characterized in that: The preset frequency range is: 0.8Hz~20Hz.

6. The heart health monitoring method according to claim 2, characterized in that: The heart rate variability index is determined based on the average of the heart beat intervals in each time interval, including: Determine the total heartbeat interval average value of the detection process according to the heartbeat interval average value of the time intervals of each segment; Based on the first formula, the heart rate variability index is determined according to the total heartbeat interval average value and the heartbeat interval average value of each time interval; The first formula is: Among them, x i is the average heartbeat interval of the time interval of the i-th segment, is the total heartbeat interval average value of the detection process, n is the total number of the time intervals, i and n are both natural numbers greater than zero, and i≤n.

7. The heart health monitoring method according to claim 1, characterized in that: Determining the risk of myocardial infarction in a human body according to the heart rate variability index includes: Determining whether the heart rate variability index is lower than a preset index value; If so, it is determined that the human body has a risk of myocardial infarction.

8. A heart health monitoring device, characterized in that: include: A signal acquisition module, used to acquire a heartbeat signal of a human body through a first type of pressure sensor when it is determined that the human body is lying on the mattress; the first type of pressure sensor is arranged on the mattress; An index acquisition module, used for acquiring a heart rate variability index according to the heartbeat impulse signal; The detection module is used to determine the risk of myocardial infarction in a human body according to the heart rate variability.

9. A mattress, characterized in that: include: Mattress body, first type pressure sensor and controller; The first type of pressure sensor and the controller are both arranged on the mattress body; The first type of pressure sensor is used to collect a heartbeat impact signal of a human body and send the heartbeat impact signal to the controller; The controller is used to execute the heart health monitoring method according to any one of claims 1 to 7.

10. The mattress according to claim 9, characterized in that The first type of pressure sensor is a piezoelectric ceramic sensor.

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