An electrocardiogram monitoring system

Abstract

The embodiments of this specification mainly relate to the field of sleep monitoring technology, specifically an ECG monitoring system, including: a disposable ECG sensor, including a flexible ECG sensor body, the ECG sensor body is a double-sided adhesive structure of a thin film patch; the disposable ECG sensor also includes a first covering paper arranged on the first adhesive side of the ECG sensor body and a second covering paper arranged on the second adhesive side of the ECG sensor body, the first adhesive side of the ECG sensor body is used to be bonded and fixed to the ECG host after the first covering paper is torn off, and the second adhesive side of the ECG sensor body is used to be bonded and fixed to the human body after the second covering paper is torn off. The ECG monitoring system of the embodiment of this specification sets the ECG host and the ECG sensor body to an adhesive / detachable structure, which is very convenient to wear; it saves a large number of lead wires and will not cause restraint to the human body; and ensures the accuracy of ECG signal acquisition.

Description

Technical Field

[0001] The embodiments of this specification mainly relate to the field of sleep monitoring technology, specifically an electrocardiogram monitoring system. Background Art

[0002] Sleep quality is crucial to a person's physical health, psychological state, and daytime function. Currently, there are two methods for sleep assessment: psychological scale method and physiological parameter detection method. Among them, the physiological parameter method mainly objectively evaluates sleep quality by monitoring sleep electrocardiogram signals.

[0003] In the related art, the ECG monitoring device needs to connect a large number of lead wires and sensors to the human body during use, so as to obtain physiological parameters to judge sleep disorders. This monitoring method causes a great sense of restraint for patients who already have sleep disorders, and is very cumbersome to operate due to the large number of lead wires and sensors. In particular, the ECG signal is relatively weak. If the collection electrodes are not properly pasted, it is easy to cause high impedance, which affects the collection of the ECG signal, thereby affecting the accuracy of the judgment. Summary of the invention

[0004] The embodiments of this specification aim at solving the problems existing in the prior art and propose an electrocardiogram monitoring system.

[0005] The embodiment of this specification provides an electrocardiogram monitoring system, including:

[0006] A disposable ECG sensor comprises a flexible ECG sensor body, which is a double-sided adhesive structure of a thin film patch type; the disposable ECG sensor also comprises a first covering paper arranged on a first adhesive side surface of the ECG sensor body and a second covering paper arranged on a second adhesive side surface of the ECG sensor body, the first adhesive side surface of the ECG sensor body is used for adhesively fixing to an ECG host after the first covering paper is torn off, and the second adhesive side surface of the ECG sensor body is used for adhesively fixing to a human body after the second covering paper is torn off; at least one conductive connection contact is arranged on the ECG sensor body;

[0007] The ECG host comprises at least one silver chloride conductive sheet. When the ECG host and the ECG sensor body are bonded and fixed, the silver chloride conductive sheet of the ECG host is electrically connected to the connection contact of the ECG sensor body. The ECG host is a flexible conductive adhesive structure.

[0008] The charging box includes a receiving cavity for receiving the ECG host. When the ECG host is installed in the receiving cavity, the charging box charges the ECG host.

[0009] As a preferred embodiment, the ECG host is provided with:

[0010] A storage module, used to store the ECG signals collected by the ECG sensor body;

[0011] The main control module is electrically connected to the storage module and is used to analyze the electrocardiogram signal to obtain a sleep quality assessment value.

[0012] Preferably, the ECG monitoring system further comprises:

[0013] A switch button is arranged on the housing of the ECG host; when the switch button is in a first state, the ECG sensor body starts to collect ECG signals, and when the switch button is in a second state, the ECG sensor body stops collecting ECG signals;

[0014] The indicator light is arranged on the housing of the ECG main unit; when the switch button is in a first state, the indicator light displays a first color, and when the switch button is in a second state, the indicator light displays a second color.

[0015] Preferably, the main control module includes:

[0016] A heart rate value statistics unit is used to obtain the heart rate value of each minute according to the collected electrocardiogram signal statistics, and to sort the heart rate values ​​in chronological order to obtain a set of heart rate value data;

[0017] A heart rate value curve forming unit, used for forming a heart rate value curve according to the heart rate value data;

[0018] A sleep cycle identification unit, used for performing sleep cycle identification on the heart rate value curve to obtain a sleep cycle identification result;

[0019] The sleep quality evaluation value determining unit is used to determine the sleep quality evaluation value according to the sleep cycle recognition result.

[0020] Preferably, the heart rate value curve forming unit comprises:

[0021] a first heart rate value determining subunit, configured to subtract a first heart rate threshold from an upper heart rate value to obtain a first heart rate base value, and determine a heart rate value in the heart rate value data that is greater than or equal to the first heart rate base value as a first heart rate value;

[0022] a second heart rate value determining subunit, configured to add a second heart rate threshold to the lower heart rate value to obtain a second heart rate base value, and determine a heart rate value in the heart rate value data that is less than or equal to the second heart rate base value as a second heart rate value;

[0023] a third heart rate value determining subunit, configured to determine a heart rate value in the heart rate value data that is less than the first heart rate basic value and greater than the second heart rate basic value as a third heart rate value;

[0024] The heart rate value curve forming subunit is used to form a heart rate value curve based on the first heart rate value, the second heart rate value and the third heart rate value.

[0025] Preferably, the heart rate value curve forming unit further includes:

[0026] The upper limit heart rate value determination subunit is used to obtain the maximum heart rate value from the heart rate value data, and count the number of the maximum heart rate values. When the number of the maximum heart rate values ​​is greater than or equal to the first threshold value, the maximum heart rate value is determined as the upper limit heart rate value; otherwise, the second largest heart rate value is obtained from the heart rate value data, and the number of the second largest heart rate values ​​is counted. When the number of the second largest heart rate values ​​is greater than or equal to the first threshold value, the second largest heart rate value is determined as the upper limit heart rate value; otherwise, the third largest heart rate value is obtained from the heart rate value data, and the aforementioned steps are repeated until the upper limit heart rate value is determined;

[0027] The lower limit heart rate value determination subunit is used to obtain a minimum heart rate value from the heart rate value data, and count the number of minimum heart rate values. When the number of minimum heart rate values ​​is greater than or equal to a second numerical threshold, the minimum heart rate value is determined as the lower limit heart rate value; otherwise, a second small heart rate value is obtained from the heart rate value data, and the number of second small heart rate values ​​is counted. When the number of second small heart rate values ​​is greater than or equal to the first numerical threshold, the second small heart rate value is determined as the lower limit heart rate value; otherwise, a third small heart rate value is obtained from the heart rate value data, and the aforementioned steps are repeated until the lower limit heart rate value is determined;

[0028] A first heart rate threshold determination subunit is used to calculate the difference between the upper heart rate value and the lower heart rate value, and multiply the difference by a first percentage value to obtain a first heart rate threshold;

[0029] The second heart rate threshold determination subunit is used to calculate the difference between the upper heart rate value and the lower heart rate value, and multiply the difference by a second percentage value to obtain a second heart rate threshold.

[0030] Preferably, the sleep cycle identification unit comprises:

[0031] A sleep cycle recognition model training subunit, used for training a sleep cycle recognition model;

[0032] The sleep cycle recognition subunit is used to input the heart rate value curve into the sleep cycle recognition model, and the sleep cycle recognition model outputs the sleep cycle recognition result of the heart rate value curve.

[0033] Preferably, the sleep quality evaluation value determination unit includes:

[0034] An evaluation base value determination subunit is used to determine the number of sleep cycles and the duration of non-sleep cycles according to the sleep cycle recognition result, and to determine the sleep quality evaluation base value according to the number of sleep cycles and the duration of non-sleep cycles;

[0035] The first evaluation value determination subunit is used to compare the sleep quality evaluation base value with the evaluation threshold, and when the sleep quality evaluation base value is less than or equal to the evaluation threshold, directly use the sleep quality evaluation base value as the sleep quality evaluation value.

[0036] Preferably, the sleep quality evaluation value determination unit further includes:

[0037] The second evaluation value determination subunit is used to compare the sleep quality evaluation basic value with the evaluation threshold. When the sleep quality evaluation basic value is greater than the evaluation threshold, the total duration of the second heart rate values ​​in all sleep cycles is calculated and the first deduction value is determined according to the total duration of the second heart rate values. Then, the sleep quality evaluation value one is determined based on the sleep quality evaluation basic value and the first deduction value, and the sleep quality evaluation value one is used as the sleep quality evaluation value.

[0038] Preferably, the sleep quality evaluation value determination unit further includes:

[0039] The third evaluation value determination subunit is used to calculate the proportion of other heart rate values ​​appearing in the second heart rate value in the first sleep cycle when the sleep quality evaluation basic value is greater than the evaluation threshold, and determine the second deduction value based on the proportion, and then determine the final sleep quality evaluation value based on the sleep quality evaluation value one and the second deduction value.

[0040] The beneficial effects brought by the technical solutions provided by some embodiments of this specification include at least:

[0041] The ECG host and the ECG sensor body are set to be a bondable / separable structure. Firstly, the connection between the ECG host and the ECG sensor body and the human body can be achieved directly by bonding, and the wearing operation is very convenient; secondly, the ECG host is directly worn on the body through the ECG sensor body, which saves a lot of lead wires, does not cause restraint to the human body, and is highly comfortable to wear; finally, the ECG sensor body and the ECG host are both made of flexible materials, so that the ECG host and the ECG sensor body always maintain a good connection effect with the human body, thereby ensuring the accuracy of ECG signal acquisition. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of the structure of the ECG host provided in the embodiments of this specification;

[0043] Figure 2 A schematic diagram of the structure of the ECG sensor body and the ECG host after being bonded together according to the embodiment of this specification;

[0044] Figure 3 A schematic diagram of the modules inside the ECG host provided in the embodiments of this specification;

[0045] Figure 4A schematic diagram of some heart rate values ​​in the heart rate value data provided in the embodiments of this specification;

[0046] Figure 5 A schematic diagram of a heart rate value curve provided in an embodiment of this specification;

[0047] Figure 6 A schematic diagram of a complete heart rate value curve provided in an embodiment of this specification. DETAILED DESCRIPTION

[0048] Embodiments of the present specification will be described in more detail below with reference to the accompanying drawings.

[0049] Embodiment 1:

[0050] An electrocardiogram monitoring system includes: a disposable electrocardiogram sensor, an electrocardiogram host 2 and a charging box.

[0051] like Figure 2 As shown, the disposable ECG sensor includes a flexible ECG sensor body 1, which is a double-sided adhesive structure of a thin film patch type; the disposable ECG sensor also includes a first covering paper arranged on a first adhesive side of the ECG sensor body 1 and a second covering paper arranged on a second adhesive side of the ECG sensor body 1, the first adhesive side of the ECG sensor body 1 is used to be bonded and fixed to the ECG host 2 after the first covering paper is torn off, and the second adhesive side of the ECG sensor body 1 is used to be bonded and fixed to the human body after the second covering paper is torn off; at least one conductive connection contact (which may include a first connection contact and a second connection contact) is provided on the ECG sensor body 1.

[0052] like Figure 1 As shown, the ECG host 2 includes at least one silver chloride conductive sheet (which may include a first silver chloride conductive sheet corresponding to the first connection contact and a second silver chloride conductive sheet corresponding to the second connection contact). When the ECG host 2 is bonded and fixed to the ECG sensor body 1, the silver chloride conductive sheet of the ECG host 2 is electrically connected to the connection contact of the ECG sensor body 1; the ECG host 2 is a flexible conductive adhesive structure.

[0053] The charging box includes a receiving cavity for receiving the ECG host 2 . When the ECG host 2 is installed in the receiving cavity, the charging box charges the ECG host 2 .

[0054] When using it, first take out the ECG host 2 from the charging box (make sure the ECG host 2 is fully charged), then take a disposable ECG sensor, tear off the first covering paper of the disposable ECG sensor and glue it to the ECG sensor body 1, then apply alcohol to the human body near the heart, and finally tear off the second covering paper of the disposable ECG sensor and glue the ECG sensor body 1 (together with the ECG host 2) to the human body.

[0055] After use, first separate the ECG sensor body 1 (together with the ECG host 2) from the human body, then tear off the ECG sensor body 1 from the ECG host 2, and finally put the ECG host 2 back into the charging box. After the ECG host 2 is put back into the charging box, the user can export the data in the ECG host 2 through the charging box.

[0056] In this embodiment, the ECG host 2 and the ECG sensor body 1 are configured as an adhesive / separable structure. Firstly, the ECG host 2 and the ECG sensor body 1 can be directly connected to the human body by bonding, and the wearing operation is very convenient; secondly, the ECG host 2 is directly worn on the body through the ECG sensor body 1, which saves a large number of lead wires, does not cause restraint to the human body, and has high wearing comfort; finally, the ECG sensor body 1 and the ECG host 2 are both made of flexible materials, so that the ECG host 2 and the ECG sensor body 1 always maintain a good connection effect with the human body, thereby ensuring the accuracy of ECG signal acquisition.

[0057] Further, such as Figure 3 As shown, the ECG host 2 is internally provided with: a storage module and a main control module.

[0058] The storage module is used to store the ECG signals collected by the ECG sensor body 1;

[0059] The main control module is electrically connected to the storage module and is used to analyze the electrocardiogram signal to obtain a sleep quality assessment value.

[0060] like Figure 3 As shown, the ECG host 2 is further provided with: a signal amplifying module, a filtering module electrically connected to the signal amplifying module, and a collection module electrically connected to the filtering module, wherein the storage module is electrically connected to the collection module.

[0061] The ECG host 2 is also provided with: a battery, a battery protection module electrically connected to the battery, a DC-DC step-down module electrically connected to the battery protection module, a wake-up module electrically connected to the DC-DC step-down module, an electronic switch module electrically connected to the DC-DC step-down module and the storage module, an LDO module electrically connected to the electronic switch module and the signal amplification module, a six-axis module electrically connected to the electronic switch module, a data export module, and an indicator light module, wherein the main control module is also electrically connected to the data export module, the battery, the DC-DC step-down module, the wake-up module, the electronic switch module, the acquisition module, and the six-axis module.

[0062] In addition to storing the collected ECG signals, the ECG host 2 of this embodiment can also analyze the ECG signals to obtain a sleep quality assessment value. When the user exports the ECG signals, the sleep quality assessment value and related sleep analysis data can be directly obtained.

[0063] Further, such as Figure 1 As shown, the ECG monitoring system of this embodiment further includes: a switch button 3 and an indicator light 4.

[0064] The switch button 3 is arranged on the housing of the ECG host 2; when the switch button 3 is in a first state, the ECG sensor body 1 starts to collect ECG signals, and when the switch button 3 is in a second state, the ECG sensor body 1 stops collecting ECG signals.

[0065] The indicator light 4 is arranged on the housing of the ECG host 2; when the switch button 3 is in a first state, the indicator light 4 displays a first color, and when the switch button 3 is in a second state, the indicator light 4 displays a second color.

[0066] When the user has just put on the ECG sensor body 1 and the ECG host 2, the ECG sensor body 1 does not collect ECG signals first. At this time, the switch button 3 is in the second state (for example, the off state), and the indicator light 4 displays the second color (for example, orange). When the indicator light 4 displays the second color, it means that the ECG host 2 is normal, but it is not collecting ECG signals. When the user is ready to go to bed, first press the switch button 3. At this time, the switch button 3 is in the first state (for example, the on state), and the indicator light 4 displays the first color (for example, green). When the indicator light 4 displays the first color, it means that the ECG host 2 and the ECG sensor body 1 are normal and are collecting signals at this time. When the user finishes sleeping and is ready to get up, first press the switch button 3. At this time, the switch button 3 returns to the second state, and the indicator light 4 displays the second color again, and the ECG signal collection stops at this time.

[0067] This setting ensures that the ECG signals stored in the storage module are sleep-related ECG signals, and the control module obtains the sleep quality evaluation value based on the sleep-related ECG signals, so that the sleep quality evaluation value is more accurate.

[0068] Furthermore, the main control module of this embodiment includes: a heart rate value statistics unit, a heart rate value curve forming unit, a sleep cycle identification unit and a sleep quality assessment value determination unit.

[0069] The heart rate value statistics unit is used to obtain the heart rate value of each minute according to the collected electrocardiogram signals, and to sort the heart rate values ​​in chronological order to obtain a set of heart rate value data.

[0070] The ECG monitoring system of this embodiment is mainly used to evaluate sleep quality, not to diagnose diseases, and it does not mean that a low sleep quality evaluation value must be a sign of a certain disease. Of course, these sleep quality evaluation values ​​can also be used to assist in determining whether a user has a disease such as sleep disorder.

[0071] In order to facilitate the evaluation of sleep quality, this embodiment converts the electrocardiogram signal into a set of heart rate value data.

[0072] Assume that the user presses the switch button 3 at 22:36:12 on 6th of XX year, and the ECG sensor body 1 starts to collect ECG signals. Then the heart rate value statistics unit will start to count the heart rate values ​​of each minute from 22:37:00 on the 6th, and will get the first heart rate value at 22:38:00 on the 6th (how many ECG signals are collected in this minute, and the heart rate value is how many), and will get the second heart rate value at 22:39:00 on the 6th... until the user presses the switch button 3 again. Assume that the user presses the switch button 3 at 6:45:22 on the 7th, and the ECG sensor body 1 stops collecting ECG signals. Then the heart rate value statistics unit will end the heart rate value statistics, that is, no heart rate value will be obtained at 6:46:00 on the 7th, and the last heart rate value will be obtained at 6:45:00 on the 7th.

[0073] When the ECG sensor body 1 finishes collecting ECG signals, the heart rate value statistics unit has obtained a set of heart rate value data.

[0074] The heart rate value curve forming unit is used to form a heart rate value curve according to the heart rate value data.

[0075] In this embodiment, the heart rate value curve forming unit includes: a first heart rate value determining subunit, a second heart rate value determining subunit, a third heart rate value determining subunit and a heart rate value curve forming subunit.

[0076] The normal sleeping process is: first not falling asleep (i.e. being awake), then falling asleep and entering the first sleep cycle, then entering the second sleep cycle while falling asleep, then entering the third sleep cycle while falling asleep... and finally waking up.

[0077] A sleep cycle usually includes the falling asleep stage, light sleep stage, deep sleep stage, extended deep sleep stage and rapid eye movement stage. Usually, the heart rate value is higher during the waking stage, while the heart rate value gradually decreases during the falling asleep stage, light sleep stage, deep sleep stage and extended deep sleep stage, and the heart rate value during the rapid eye movement stage returns to the same level as the heart rate value during the waking stage.

[0078] In this embodiment, all heart rate values ​​in the waking stage and the rapid eye movement stage are classified as the first heart rate, all heart rate values ​​in the deep sleep stage and the extended deep sleep stage are classified as the second heart rate, and all heart rate values ​​in the falling asleep stage and the light sleep stage are classified as the third heart rate.

[0079] Specifically, the first heart rate is determined by a first heart rate value determining subunit. The first heart rate value determining subunit is used to subtract the first heart rate threshold from the upper heart rate value to obtain a first heart rate base value, and determine a heart rate value in the heart rate value data that is greater than or equal to the first heart rate base value as the first heart rate value.

[0080] The second heart rate is determined by a second heart rate value determination subunit which is used to add a second heart rate threshold to the lower heart rate value to obtain a second heart rate base value, and determine a heart rate value in the heart rate value data that is less than or equal to the second heart rate base value as the second heart rate value.

[0081] The third heart rate is determined by a third heart rate value determination subunit. The third heart rate value determination subunit is used to determine a heart rate value in the heart rate value data that is less than the first heart rate basic value and greater than the second heart rate basic value as the third heart rate value.

[0082] The heart rate value curve forming subunit is used to form a heart rate value curve based on the first heart rate value, the second heart rate value and the third heart rate value.

[0083] In addition, the heart rate value curve forming unit further includes: an upper heart rate value determining subunit, a lower heart rate value determining subunit, a first heart rate threshold determining subunit and a second heart rate threshold determining subunit.

[0084] The upper limit heart rate value determination subunit is used to obtain the maximum heart rate value from the heart rate value data, and count the number of maximum heart rate values. When the number of maximum heart rate values ​​is greater than or equal to a first numerical threshold, the maximum heart rate value is determined as the upper limit heart rate value; otherwise, the second largest heart rate value is obtained from the heart rate value data, and the number of the second largest heart rate values ​​is counted. When the number of the second largest heart rate values ​​is greater than or equal to the first numerical threshold, the second largest heart rate value is determined as the upper limit heart rate value; otherwise, the third largest heart rate value is obtained from the heart rate value data, and the aforementioned steps are repeated until the upper limit heart rate value is determined.

[0085] Under normal circumstances, the upper limit heart rate value is the maximum heart rate value in the heart rate value data. For example, in a set of heart rate value data, the maximum heart rate value is 100 and the total number of the maximum heart rate values ​​is 33; the second largest heart rate value is 99 and the total number of the second largest heart rate values ​​is 76; the third largest heart rate value is 98 and the total number of the third largest heart rate values ​​is 8; ... Then, the upper limit heart rate value is the maximum heart rate value (i.e. 100).

[0086] In special cases, for example, in a set of heart rate data, the maximum heart rate value is 108 and the total number of the maximum heart rate values ​​is 1; the second largest heart rate value is 100 and the total number of the second largest heart rate values ​​is 8; the third largest heart rate value is 99 and the total number of the third largest heart rate values ​​is 33; ... If the maximum heart rate value (i.e. 108) is directly determined as the upper limit heart rate value, then the calculated first heart rate basic value is definitely inaccurate, which in turn causes the final first heart rate to be inaccurate.

[0087] In order to prevent individual larger heart rate values ​​from affecting the accuracy of the first heart rate, this embodiment first compares the number of maximum heart rate values ​​with the first threshold value (the first threshold value can be determined based on a large amount of historical data analysis, for example, the first threshold value is 5). Only when the number of maximum heart rate values ​​is greater than or equal to the first threshold value, the maximum heart rate value is determined as the upper limit heart rate value. Otherwise, the appropriate upper limit heart rate value is found from the second largest heart rate value, the third largest heart rate value, etc. This embodiment excludes all larger individual heart rate values ​​to ensure the accuracy of the first heart rate value as much as possible.

[0088] The lower limit heart rate value determination subunit is used to obtain the minimum heart rate value from the heart rate value data, and count the number of minimum heart rate values. When the number of minimum heart rate values ​​is greater than or equal to a second numerical threshold, the minimum heart rate value is determined as the lower limit heart rate value; otherwise, a second small heart rate value is obtained from the heart rate value data, and the number of second small heart rate values ​​is counted. When the number of second small heart rate values ​​is greater than or equal to the first numerical threshold, the second small heart rate value is determined as the lower limit heart rate value; otherwise, a third small heart rate value is obtained from the heart rate value data, and the aforementioned steps are repeated until the lower limit heart rate value is determined.

[0089] Under normal circumstances, the lower limit heart rate value is the minimum heart rate value in the heart rate value data. For example, in a set of heart rate value data, the minimum heart rate value is 60 and the total number of the minimum heart rate values ​​is 22; the second small heart rate value is 59 and the total number of the second small heart rate values ​​is 43; the third small heart rate value is 58 and the total number of the third small heart rate values ​​is 11; ... Then, at this time, the lower limit heart rate value is the minimum heart rate value (i.e. 60).

[0090] In special cases, for example, in a set of heart rate data, the minimum heart rate value is 52 and the total number of minimum heart rate values ​​is 2; the second small heart rate value is 60 and the total number of second small heart rate values ​​is 27; the third small heart rate value is 59 and the total number of third small heart rate values ​​is 18; ... If the minimum heart rate value (i.e. 52) is directly determined as the lower limit heart rate value at this time, then the calculated second heart rate basic value is definitely inaccurate, which in turn leads to the inaccuracy of the final second heart rate.

[0091] In order to prevent individual smaller heart rate values ​​from affecting the accuracy of the second heart rate, this embodiment first compares the number of minimum heart rate values ​​with the second threshold value (the second threshold value can be determined based on a large amount of historical data analysis, for example, the second threshold value is 4). Only when the number of minimum heart rate values ​​is greater than or equal to the second threshold value, the minimum heart rate value is determined as the lower limit heart rate value. Otherwise, the appropriate lower limit heart rate value is found from the second small heart rate value, the third small heart rate value, etc. This embodiment excludes all smaller individual heart rate values ​​to ensure the accuracy of the second heart rate value as much as possible.

[0092] The first heart rate threshold determination subunit is used to calculate the difference between the upper heart rate value and the lower heart rate value, and multiply the difference by a first percentage value to obtain the first heart rate threshold.

[0093] In this embodiment, the first percentage value can be determined based on an analysis of a large amount of historical data (for example, the first percentage value is 20%). If the difference between the upper limit heart rate value and the lower limit heart rate value is large (assuming it is 20), then the obtained first heart rate threshold is also large (the first heart rate threshold is 4); if the difference between the upper limit heart rate value and the lower limit heart rate value is small (assuming it is 10), then the obtained first heart rate threshold is also small (the first heart rate threshold is 2).

[0094] The second heart rate threshold determination subunit is used to calculate the difference between the upper heart rate value and the lower heart rate value, and multiply the difference by the second percentage value to obtain the second heart rate threshold.

[0095] In this embodiment, the second percentage value can be determined based on a large amount of historical data analysis (for example, the second percentage value is 30%). If the difference between the upper limit heart rate value and the lower limit heart rate value is large (assuming it is 20), then the obtained second heart rate threshold is also large (the second heart rate threshold is 6); if the difference between the upper limit heart rate value and the lower limit heart rate value is small (assuming it is 10), then the obtained second heart rate threshold is also small (the second heart rate threshold is 3).

[0096] After the upper heart rate value, the lower heart rate value, the first heart rate threshold and the second heart rate threshold are all determined, it is possible to determine which of the heart rate value data belong to the first heart rate value (first determine the first heart rate basic value through the upper heart rate value and the first heart rate threshold, and then determine the heart rate values ​​in the heart rate value data that are greater than or equal to the first heart rate basic value as the first heart rate value), which belong to the second heart rate value (first determine the second heart rate basic value through the lower heart rate value and the second heart rate threshold, and then determine the heart rate values ​​in the heart rate value data that are less than or equal to the second heart rate basic value as the second heart rate value), and which belong to the third heart rate value (determine the heart rate values ​​in the heart rate value data that are less than the first heart rate basic value and greater than the second heart rate basic value as the third heart rate value).

[0097] This embodiment does not limit the specific values ​​of the first heart rate value, the second heart rate value, and the third heart rate value, and only requires that the first heart rate value is greater than the third heart rate value and the third heart rate value is greater than the second heart rate value. For example, the first heart rate value is 30, the third heart rate value is 20, and the second heart rate value is 10.

[0098] Finally, the heart rate value curve forming subunit is used to form a heart rate value curve based on the first heart rate value, the second heart rate value and the third heart rate value.

[0099] Figure 4It is a schematic diagram of some heart rate values ​​in a certain period of time in a set of heart rate value data. Through this figure, it can be determined that the upper limit heart rate value is 80, the lower limit heart rate value is 65, and the difference between the upper limit heart rate value and the lower limit heart rate value is 15. When the first percentage value and the second percentage value are both 20%, the calculated first heart rate threshold value and the second heart rate threshold value are both 3. Then, the first heart rate basic value of 77 and the second heart rate basic value are obtained. At this time, the heart rate values ​​with the center heart rate value of the heart rate value being greater than or equal to 77 are determined as the first heart rate value, the heart rate values ​​with the center heart rate value of the heart rate value being less than or equal to 68 are determined as the second heart rate value, and the heart rate values ​​with the center heart rate value being less than 77 and greater than 68 are determined as the third heart rate value. Finally, the following can be obtained: Figure 5 The heart rate curve is shown.

[0100] Furthermore, the sleep cycle identification unit in this embodiment is used to perform sleep cycle identification on the heart rate value curve to obtain a sleep cycle identification result.

[0101] The sleep cycle recognition unit includes: a sleep cycle recognition model training subunit and a sleep cycle recognition subunit.

[0102] The sleep cycle recognition model training subunit is used to train the sleep cycle recognition model.

[0103] The sleep cycle recognition subunit is used to input the heart rate value curve into the sleep cycle recognition model, and the sleep cycle recognition model outputs the sleep cycle recognition result of the heart rate value curve.

[0104] Usually a good sleep process includes 5 sleep cycles: first not falling asleep (ie awake), then falling asleep and entering the first sleep cycle, then entering the second sleep cycle while falling asleep, then entering the third sleep cycle while falling asleep, then entering the fourth sleep cycle while falling asleep, then entering the fifth sleep cycle while falling asleep, and finally waking up. And usually the deep sleep stage of the first sleep cycle is longer, and the rapid eye movement stage is shorter. The deep sleep stage of subsequent sleep cycles becomes shorter and shorter (even absent), and the rapid eye movement stage becomes longer and longer. Figure 6 It is a schematic diagram of a complete heart rate value curve, and the sleep cycle is marked on the heart rate value curve.

[0105] In this embodiment, a large number of heart rate curves with marked sleep cycles are obtained in advance. The sleep cycles of these heart rate curves are manually marked, and a heart rate curve is marked with as many sleep cycles as there are actual sleep cycles. Then, the sleep cycle recognition model is trained through these heart rate curves with marked sleep cycles, until when a heart rate curve is input into the sleep cycle recognition model, the sleep cycle recognition model can output an accurate sleep cycle recognition result.

[0106] The sleep cycle recognition result may specifically include: how many sleep cycles are recognized in total; which sleep cycle is from minute XX to minute XX. Figure 6 The heart rate value curve in is input into the sleep cycle recognition model, then the sleep cycle recognition result output by the sleep cycle recognition model is: a total of 5 sleep cycles are recognized; the 50th minute to the 130th minute is the first sleep cycle; the 130th minute to the 200th minute is the second sleep cycle; the 200th minute to the 280th minute is the third sleep cycle; the 280th minute to the 360th minute is the fourth sleep cycle; the 360th minute to the 460th minute is the fifth sleep cycle.

[0107] Furthermore, the sleep quality evaluation value determination unit in this embodiment is used to determine the sleep quality evaluation value according to the sleep cycle recognition result.

[0108] Specifically, the sleep quality evaluation value determination unit includes: an evaluation base value determination subunit and a first evaluation value determination subunit.

[0109] The evaluation basic value determination subunit is used to determine the number of sleep cycles and the duration of non-sleep cycles according to the sleep cycle identification result, and to determine the sleep quality evaluation basic value according to the number of sleep cycles and the duration of non-sleep cycles.

[0110] The number of sleep cycles can be directly obtained from the sleep cycle identification results. The duration of the non-sleep cycle can be obtained by subtracting the duration of each sleep cycle from the total duration of the heart rate value curve. Figure 6 Taking the heart rate curve in as an example, we can get that the number of sleep cycles is 5 and the duration of the non-sleep cycle is 60 minutes.

[0111] In this embodiment, when the number of sleep cycles is 5, the basic score is 100. When the duration of the non-sleep cycle is less than or equal to 10 minutes, the basic score is deducted by 0 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 10 minutes and less than or equal to 20 minutes, the basic score is deducted by 3 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 20 minutes and less than or equal to 30 minutes, the basic score is deducted by 6 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 30 minutes and less than or equal to 40 minutes, the basic score is deducted by 9 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 40 minutes and less than or equal to 50 minutes, the basic score is deducted by 12 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 50 minutes and less than or equal to 60 minutes, the basic score is deducted by 15 points to obtain the basic value of sleep quality assessment...

[0112] When the number of sleep cycles is 4 or 6, the basic score is 80. When the duration of the non-sleep cycle is less than or equal to 30 minutes, the basic score is deducted by 0 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 30 minutes and less than or equal to 40 minutes, the basic score is deducted by 2 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 40 minutes and less than or equal to 50 minutes, the basic score is deducted by 4 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 50 minutes and less than or equal to 60 minutes, the basic score is deducted by 6 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 60 minutes and less than or equal to 70 minutes, the basic score is deducted by 8 points to obtain the basic value of sleep quality assessment...

[0113] When the number of sleep cycles is 3 or 7, the basic score is 60. When the duration of the non-sleep cycle is less than or equal to 50 minutes, the basic score is deducted by 0 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 50 minutes and less than or equal to 60 minutes, the basic score is deducted by 2 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 60 minutes and less than or equal to 70 minutes, the basic score is deducted by 4 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 70 minutes and less than or equal to 80 minutes, the basic score is deducted by 6 points to obtain the basic value of sleep quality assessment...

[0114] When the number of sleep cycles is 2 or 8, the basic score is 40. When the duration of the non-sleep cycle is less than or equal to 70 minutes, the basic score is deducted by 0 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 70 minutes and less than or equal to 80 minutes, the basic score is deducted by 1 point to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 80 minutes and less than or equal to 90 minutes, the basic score is deducted by 2 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 90 minutes and less than or equal to 100 minutes, the basic score is deducted by 3 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 100 minutes and less than or equal to 110 minutes, the basic score is deducted by 4 points to obtain the basic value of sleep quality assessment...

[0115] When the number of sleep cycles is 1 or 9, the basic score is 20. When the duration of the non-sleep cycle is less than or equal to 90 minutes, the basic score is deducted by 0 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 90 minutes and less than or equal to 100 minutes, the basic score is deducted by 1 point to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 100 minutes and less than or equal to 110 minutes, the basic score is deducted by 2 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 110 minutes and less than or equal to 120 minutes, the basic score is deducted by 3 points to obtain the basic value of sleep quality assessment; when the duration of the non-sleep cycle is greater than 120 minutes and less than or equal to 130 minutes, the basic score is deducted by 4 points to obtain the basic value of sleep quality assessment...

[0116] Assuming that the number of sleep cycles of heart rate value curve A1 is 5, and the duration of the non-sleep cycle is 5 minutes, the basic value of sleep quality assessment is 100. This means that the number of sleep cycles is very appropriate, and the user falls asleep soon after going to bed, and does not wake up during the entire sleep process.

[0117] Assuming that the number of sleep cycles of heart rate value curve A2 is 5 and the duration of the non-sleep cycle is 56 minutes, the basic value of sleep quality assessment is 85. This means that the number of sleep cycles is very appropriate, but the user takes a certain amount of time to fall asleep or wakes up during the whole sleep process.

[0118] Assuming that the number of sleep cycles of heart rate value curve A3 is 4 and the duration of the non-sleep cycle is 28 minutes, the basic value of sleep quality assessment is 80. This means that the number of sleep cycles is appropriate and the user does not take a long time to fall asleep or does not wake up during the entire sleep process.

[0119] Assuming that the number of sleep cycles of heart rate value curve A4 is 4 and the duration of the non-sleep cycle is 56 minutes, the basic value of sleep quality assessment is 74. This means that the number of sleep cycles is appropriate, but the user takes a certain amount of time to fall asleep or wakes up during the entire sleep process.

[0120] Assuming that the number of sleep cycles of heart rate value curve A5 is 3 and the duration of the non-sleep cycle is 28 minutes, the basic value of sleep quality assessment is 60. This means that the number of sleep cycles is not sufficient, but the user does not take a long time to fall asleep or does not wake up during the entire sleep process.

[0121] Assuming that the number of sleep cycles of heart rate value curve A6 is 3 and the duration of the non-sleep cycle is 188 minutes, the basic value of sleep quality assessment is 32. This means that the number of sleep cycles is not sufficient, and the user spends a lot of time to fall asleep or wakes up during the whole sleep process.

[0122] Assuming that the number of sleep cycles of heart rate value curve A7 is 2 and the duration of the non-sleep cycle is 28 minutes, the basic value of sleep quality assessment is 40. This means that the number of sleep cycles is small, but the user does not take a long time to fall asleep or does not wake up during the entire sleep process.

[0123] Assuming that the number of sleep cycles of heart rate value curve A8 is 2, and the duration of the non-sleep cycle is 188 minutes, the basic value of sleep quality assessment is 28. This means that the number of sleep cycles is too small, and the user spends a lot of time to fall asleep or wakes up during the whole sleep process.

[0124] Assuming that the number of sleep cycles of heart rate value curve A9 is 1, and the duration of the non-sleep cycle is 28 minutes, the basic value of sleep quality assessment is 20, which means that the sleep cycle is seriously insufficient, but the user does not take a long time to fall asleep or does not wake up during the entire sleep process.

[0125] Assuming that the number of sleep cycles of heart rate value curve A10 is 1, and the duration of the non-sleep cycle is 188 minutes, the basic value of sleep quality assessment is 10. This means that the sleep cycle is seriously insufficient, and the user spends a lot of time to fall asleep or wakes up during the entire sleep process.

[0126] In short, the basic value of sleep quality assessment can be determined based on the number of sleep cycles and the length of non-sleep cycles.

[0127] The first evaluation value determination subunit is used to compare the sleep quality evaluation base value with the evaluation threshold, and when the sleep quality evaluation base value is less than or equal to the evaluation threshold, directly use the sleep quality evaluation base value as the sleep quality evaluation value.

[0128] In this embodiment, the evaluation threshold may be 50. When the sleep quality evaluation base value is less than or equal to the evaluation threshold, it indicates that the sleep quality is not very good. In this case, the sleep quality evaluation base value may be directly used as the sleep quality evaluation value. For example, when the sleep quality evaluation base value is 28, the sleep quality evaluation value may be directly determined to be 28.

[0129] Furthermore, the sleep quality evaluation value determination unit in this embodiment further includes: a second evaluation value determination subunit.

[0130] The second evaluation value determination subunit is used to compare the sleep quality evaluation basic value with the evaluation threshold. When the sleep quality evaluation basic value is greater than the evaluation threshold, the total duration of the second heart rate values ​​in all sleep cycles is calculated and the first deduction value is determined according to the total duration of the second heart rate values. Then, the sleep quality evaluation value one is determined based on the sleep quality evaluation basic value and the first deduction value, and the sleep quality evaluation value one is used as the sleep quality evaluation value.

[0131] Assuming that the sleep quality assessment base value is 88, the sleep quality assessment base value (i.e., 88) is greater than the assessment threshold (i.e., 50), so it is necessary to calculate the total duration of the second heart rate value in all sleep cycles. The total duration of the second heart rate value represents the total duration of deep sleep. Figure 6 Taking the heart rate curve in as an example, we can get the total duration of the second heart rate value as 100 minutes. Deep sleep is very important to the human body. If the duration of deep sleep is insufficient, it means that the sleep quality is poor.

[0132] If the total duration of the second heart rate value is greater than or equal to 70 minutes, the first deduction value is 0; if the total duration of the second heart rate value is greater than or equal to 60 minutes and less than 70 minutes, the first deduction value is 5; if the total duration of the second heart rate value is greater than or equal to 50 minutes and less than 60 minutes, the first deduction value is 10; if the total duration of the second heart rate value is greater than or equal to 40 minutes and less than 50 minutes, the first deduction value is 15....

[0133] Assuming that the number of sleep cycles of the heart rate value curve A1 is 5, and the duration of the non-sleep cycle is 5 minutes, the basic value of the sleep quality assessment is 100. At this time, since the basic value of the sleep quality assessment (i.e., 100) is greater than the assessment threshold (i.e., 50), it is necessary to calculate the total duration of the second heart rate value in all sleep cycles in the heart rate value curve A1. Assuming that the total duration of the second heart rate value is 100 minutes, the first deduction value is 0, and the sleep quality assessment value is still 100. Assuming that the total duration of the second heart rate value is 65 minutes, the first deduction value is 5, and the sleep quality assessment value becomes 95.

[0134] At this time, the sleep quality evaluation value 1 can be directly used as the sleep quality evaluation value.

[0135] Furthermore, the sleep quality evaluation value determination unit of this embodiment further includes: a third evaluation value determination subunit.

[0136] The third evaluation value determination subunit is used to calculate the proportion of other heart rate values ​​appearing in the second heart rate value in the first sleep cycle when the sleep quality evaluation basic value is greater than the evaluation threshold, and determine the second deduction value based on the proportion, and then determine the final sleep quality evaluation value based on the sleep quality evaluation value one and the second deduction value.

[0137] In the first sleep cycle, under normal circumstances, the second heart rate value is a horizontal straight line, but if you wake up suddenly in the deep sleep stage, the first heart rate value and / or the third heart rate value will appear on the horizontal straight line of the second heart rate value. If this phenomenon occurs frequently, it means that the sleep quality is poor.

[0138] To this end, this embodiment needs to calculate the proportion of the first heart rate value and / or the third heart rate value in the second heart rate value in the first sleep cycle. In this embodiment, it is assumed that when the proportion is greater than 1 / 20, the second deduction value is 5; when the proportion is greater than 1 / 10, the second deduction value is 10; when the proportion is greater than or equal to 1 / 5, the second deduction value is 15...

[0139] Assume that in the first sleep cycle of the heart rate value curve A1, the proportion of the first heart rate value and / or the third heart rate value in the second heart rate value is 3 / 40. Since the proportion is greater than 1 / 20, the second deduction value is 5. Assume that the sleep quality evaluation value 1 is originally 100, then the final sleep quality evaluation value is 95; Assume that the sleep quality evaluation value 1 is originally 95, then the final sleep quality evaluation value is 90.

[0140] In this embodiment, if the basic value of sleep quality assessment is greater than the assessment threshold, the basic value of sleep quality assessment will also be adjusted based on the total duration of the second heart rate value and the proportion of the first heart rate value and / or the third heart rate value in the second heart rate value in the first sleep cycle, so that the final sleep quality assessment value is more accurate.

[0141] When exporting data, the ECG monitoring system of this embodiment may export the ECG signal, the heart rate value curve, the sleep cycle recognition result, and the sleep quality assessment value together.

[0142] Although some embodiments of the present specification are shown in the drawings, it should be understood that the present specification can be implemented in various forms and should not be interpreted as being limited to the embodiments described herein. Instead, these embodiments are provided for a more thorough and complete understanding of the present specification. It should be understood that the drawings and embodiments of the present specification are only for exemplary purposes and are not intended to limit the scope of protection of the present specification.

Claims

1. An electrocardiogram monitoring system, characterized in that: include: A disposable ECG sensor comprises a flexible ECG sensor body (1), wherein the ECG sensor body (1) is a double-sided adhesive structure of a thin film patch type; the disposable ECG sensor further comprises a first covering paper arranged on a first adhesive side surface of the ECG sensor body (1) and a second covering paper arranged on a second adhesive side surface of the ECG sensor body (1); the first adhesive side surface of the ECG sensor body (1) is used for bonding and fixing to an ECG host (2) after the first covering paper is torn off, and the second adhesive side surface of the ECG sensor body (1) is used for bonding and fixing to a human body after the second covering paper is torn off; and at least one conductive connection contact is provided on the ECG sensor body (1); The ECG host (2) comprises at least one silver chloride conductive sheet. When the ECG host (2) and the ECG sensor body (1) are bonded and fixed, the silver chloride conductive sheet of the ECG host (2) is electrically connected to the connection contact of the ECG sensor body (1); the ECG host (2) is a flexible conductive adhesive structure; A charging box, comprising a housing cavity for housing the ECG main unit (2); when the ECG main unit (2) is installed in the housing cavity, the charging box charges the ECG main unit (2); The ECG host (2) is internally provided with: A storage module, used for storing the electrocardiogram signals collected by the electrocardiogram sensor body (1); A main control module, electrically connected to the storage module, and configured to analyze the electrocardiogram signal to obtain a sleep quality assessment value; The electrocardiogram monitoring system further comprises: a switch button (3) arranged on the housing of the electrocardiograph host (2); when the switch button (3) is in a first state, the electrocardiograph sensor body (1) starts collecting the electrocardiograph signal; and when the switch button (3) is in a second state, the electrocardiograph sensor body (1) stops collecting the electrocardiograph signal; an indicator light (4) disposed on the housing of the electrocardiograph host (2); when the switch button (3) is in a first state, the indicator light (4) displays a first color, and when the switch button (3) is in a second state, the indicator light (4) displays a second color; The main control module comprises: A heart rate value statistics unit, used to obtain the heart rate value of each minute according to the collected electrocardiogram signal statistics, and to sort the heart rate values ​​in chronological order to obtain a set of heart rate value data; A heart rate value curve forming unit, used for forming a heart rate value curve according to the heart rate value data; A sleep cycle identification unit, used for performing sleep cycle identification on the heart rate value curve to obtain a sleep cycle identification result; a sleep quality evaluation value determining unit, configured to determine a sleep quality evaluation value according to the sleep cycle identification result; The heart rate value curve forming unit comprises: a first heart rate value determining subunit, configured to subtract a first heart rate threshold from an upper heart rate value to obtain a first heart rate base value, and determine a heart rate value in the heart rate value data that is greater than or equal to the first heart rate base value as a first heart rate value; a second heart rate value determining subunit, configured to add a second heart rate threshold to the lower heart rate value to obtain a second heart rate base value, and determine a heart rate value in the heart rate value data that is less than or equal to the second heart rate base value as a second heart rate value; a third heart rate value determining subunit, configured to determine a heart rate value in the heart rate value data that is less than the first heart rate basic value and greater than the second heart rate basic value as a third heart rate value; a heart rate value curve forming subunit, configured to form a heart rate value curve based on the first heart rate value, the second heart rate value, and the third heart rate value; The heart rate value curve forming unit also includes: an upper limit heart rate value determination subunit, configured to obtain a maximum heart rate value from the heart rate value data, and count the number of maximum heart rate values, and when the number of the maximum heart rate values ​​is greater than or equal to a first threshold value, determine the maximum heart rate value as the upper limit heart rate value; otherwise, obtain a second maximum heart rate value from the heart rate value data, and count the number of the second maximum heart rate values, and when the number of the second maximum heart rate values ​​is greater than or equal to the first threshold value, determine the second maximum heart rate value as the upper limit heart rate value; otherwise, obtain a third maximum heart rate value from the heart rate value data, and repeat the aforementioned steps until the upper limit heart rate value is determined; a lower limit heart rate value determination subunit, configured to obtain a minimum heart rate value from the heart rate value data, and count the number of minimum heart rate values; when the number of the minimum heart rate values ​​is greater than or equal to a second numerical threshold, determine the minimum heart rate value as the lower limit heart rate value; otherwise, obtain a second small heart rate value from the heart rate value data, and count the number of the second small heart rate values; when the number of the second small heart rate values ​​is greater than or equal to the first numerical threshold, determine the second small heart rate value as the lower limit heart rate value; otherwise, obtain a third small heart rate value from the heart rate value data, and repeat the aforementioned steps until the lower limit heart rate value is determined; a first heart rate threshold determination subunit, configured to calculate a difference between the upper heart rate value and the lower heart rate value, and multiply the difference by a first percentage value to obtain a first heart rate threshold; a second heart rate threshold determination subunit, configured to calculate a difference between the upper heart rate value and the lower heart rate value, and multiply the difference by a second percentage value to obtain a second heart rate threshold; The sleep cycle recognition unit comprises: A sleep cycle recognition model training subunit, used for training a sleep cycle recognition model; A sleep cycle identification subunit, configured to input the heart rate value curve into a sleep cycle identification model, and the sleep cycle identification model outputs a sleep cycle identification result of the heart rate value curve; The sleep quality evaluation value determination unit comprises: An evaluation base value determination subunit, used to determine the number of sleep cycles and the duration of non-sleep cycles according to the sleep cycle identification result, and to determine a sleep quality evaluation base value according to the number of sleep cycles and the duration of non-sleep cycles; The first evaluation value determination subunit is used to compare the sleep quality evaluation base value with an evaluation threshold, and when the sleep quality evaluation base value is less than or equal to the evaluation threshold, directly use the sleep quality evaluation base value as the sleep quality evaluation value.

2. The electrocardiogram monitoring system according to claim 1, characterized in that: The sleep quality evaluation value determination unit further includes: The second evaluation value determination subunit is used to compare the sleep quality evaluation basic value with the evaluation threshold. When the sleep quality evaluation basic value is greater than the evaluation threshold, the total duration of the second heart rate values ​​in all sleep cycles is calculated and a first deduction value is determined according to the total duration of the second heart rate values. Then, a sleep quality evaluation value one is determined based on the sleep quality evaluation basic value and the first deduction value, and the sleep quality evaluation value one is used as the sleep quality evaluation value.

3. The electrocardiogram monitoring system according to claim 2, characterized in that: The sleep quality evaluation value determination unit further includes: The third evaluation value determination subunit is used to calculate the proportion of other heart rate values ​​appearing in the second heart rate value in the first sleep cycle when the sleep quality evaluation basic value is greater than the evaluation threshold, and determine the second deduction value based on the proportion, and then determine the final sleep quality evaluation value based on the sleep quality evaluation value one and the second deduction value.

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