Information detection method and device, equipment, storage medium and program product

Abstract

The invention relates to an information detection method and device, equipment, a storage medium and a program product. According to one embodiment of the invention, the method comprises the following steps: transmitting a wireless sensing signal to a detected object based on a wireless sensing assembly, and receiving a reflected signal of the wireless sensing signal, the reflected signal comprising a signal transmitted after the wireless sensing signal is in contact with the detected object; determining a target electrocardiosignal waveform of the detected object based on the reflected signal and the wireless sensing signal; identifying a QRS wave group from the target electrocardiosignal waveform; and in response to the identified at least two QRS wave groups, determining RR interval information of the detected object based on the at least two QRS wave groups. According to the method, the RR interval information of the QRS wave group in the electrocardiosignal can be accurately detected, and the requirement for finer health information detection is met.

Description

Technical Field

[0001] This disclosure relates to the field of signal processing technology, and in particular to an information detection method, apparatus, device, storage medium, and program product. Background Technology

[0002] With the development of terminal technology, terminal devices are becoming increasingly functional. Among related technologies, some terminal devices can achieve functions such as heartbeat detection based on UWB (Ultra-Wideband) radar sensing technology.

[0003] However, the heartbeat detection schemes in related technologies have low detection accuracy and can only detect basic information such as the number of heartbeats, which cannot meet the needs of more refined information detection. Summary of the Invention

[0004] To overcome the problems existing in the related technologies, the present disclosure provides an information detection method, apparatus, device, storage medium, and program product to solve the defects in the related technologies.

[0005] According to a first aspect of the present disclosure, an information detection method is provided, the method comprising:

[0006] The wireless sensing component transmits a wireless sensing signal to the object being inspected and receives the reflected signal of the wireless sensing signal, wherein the reflected signal includes the signal emitted after the wireless sensing signal comes into contact with the object being inspected.

[0007] The target electrocardiogram waveform of the subject is determined based on the reflected signal and the wireless sensing signal.

[0008] Identify QRS complexes from the target electrocardiogram waveform;

[0009] In response to the identification of at least two QRS groups, the RR interval information of the examined object is determined based on the at least two QRS groups.

[0010] In some embodiments, determining the target electrocardiogram waveform of the subject based on the reflected signal and the wireless sensing signal includes:

[0011] Determine the time delay of the reflected signal relative to the wireless sensing signal;

[0012] Based on the time delay, determine the distance change information between the inspected object and the wireless sensing component;

[0013] The target electrocardiogram waveform of the subject is determined based on the distance change information.

[0014] In some embodiments, identifying the QRS complex from the target electrocardiogram waveform includes:

[0015] The R wave is identified from the target electrocardiogram (ECG) signal waveform, wherein the R wave is the steepest waveform in the ECG signal.

[0016] The downward deflected waveform adjacent to the R wave is defined as the Q wave;

[0017] The downward-deflected waveform adjacent to the R-wave is defined as the S-wave.

[0018] In some embodiments, the method further includes:

[0019] In response to determining the target electrocardiogram (ECG) signal waveform of the subject under examination, the target ECG signal waveform is subjected to noise reduction processing to obtain a noise-reduced ECG signal waveform. The noise reduction processing method includes filtering and / or smoothing.

[0020] The step of identifying QRS complexes from the target electrocardiogram waveform includes:

[0021] Identify QRS complexes from the ECG signal waveform after noise reduction.

[0022] In some embodiments, determining the RR interval information of the examined object based on the at least two QRS groups includes:

[0023] Determine the time interval between the initiation points of two adjacent QRS groups in the at least two QRS groups;

[0024] The RR interval information of the tested object is determined based on the time interval.

[0025] In some embodiments, the wireless sensing component includes a UWB chip or a WIFI chip.

[0026] In some embodiments, the wireless sensing component includes a UWB chip and a WIFI chip;

[0027] The method of transmitting wireless sensing signals to the object under inspection based on the wireless sensing component and receiving the reflected signals of the wireless sensing signals includes:

[0028] The UWB chip transmits pulse signals to the object under inspection and receives the pulse reflection signals of the pulse signals.

[0029] The WIFI chip transmits wireless signals to the object under inspection and receives the wireless reflected signals of the wireless signals.

[0030] Determining the target electrocardiogram waveform of the subject based on the reflected signal and the wireless sensing signal includes:

[0031] The first electrocardiogram waveform of the subject is determined based on the pulse reflection signal and the pulse signal;

[0032] The second electrocardiogram waveform of the subject is determined based on the wireless reflected signal and the wireless signal;

[0033] The target electrocardiogram (ECG) waveform of the subject is determined based on the first ECG waveform and the second ECG waveform.

[0034] In some embodiments, the method further includes:

[0035] The RR interval information is compared with a predetermined target threshold range to obtain the comparison result;

[0036] Based on the comparison results, the health evaluation information of the examined subject is determined.

[0037] In some embodiments, the method further includes:

[0038] In response to the health assessment information meeting the warning conditions, a warning message in a preset format is generated, the preset format including at least one of vibration, sound, text and telephone notification.

[0039] In some embodiments, the method further includes determining the target threshold range based on the following:

[0040] Obtain the target personalized information of the subject being examined, the target personalized information including physiological information and / or environmental information of the environment in which the subject is located;

[0041] Based on the pre-built correspondence between sample personalization information and sample threshold range, a sample threshold range that matches the target personalization information is found and used as the target threshold range.

[0042] According to a second aspect of the present disclosure, an information detection apparatus is provided, the apparatus comprising:

[0043] The signal transceiver module is used to transmit wireless sensing signals to the object under inspection based on the wireless sensing component, and to receive the reflected signals of the wireless sensing signals, wherein the reflected signals include the signals emitted after the wireless sensing signals come into contact with the object under inspection.

[0044] A waveform determination module is used to determine the target electrocardiogram signal waveform of the tested object based on the reflected signal and the wireless sensing signal.

[0045] A waveform recognition module is used to identify QRS complexes from the target electrocardiogram signal waveform;

[0046] An information determination module is used to determine the RR interval information of the examined object based on the identification of at least two QRS groups.

[0047] In some embodiments, the waveform determination module includes:

[0048] A delay determination unit is used to determine the time delay of the reflected signal relative to the wireless sensing signal;

[0049] A change determination unit is used to determine the distance change information between the detected object and the wireless sensing component based on the time delay;

[0050] A waveform determination unit is used to determine the target electrocardiogram signal waveform of the tested object based on the distance change information.

[0051] In some embodiments, the waveform recognition module includes:

[0052] R-wave recognition unit, used to identify R-wave from the target electrocardiogram signal waveform, wherein the R-wave is the steepest waveform in the electrocardiogram signal;

[0053] The Q-wave determination unit is used to determine the downward deflected waveform adjacent to the R-wave as the Q-wave;

[0054] The S-wave determination unit is used to determine the downward deflected waveform adjacent to the R-wave as the S-wave.

[0055] In some embodiments, the apparatus further includes:

[0056] A noise reduction processing module is used to perform noise reduction processing on the target electrocardiogram signal waveform in response to determining the target electrocardiogram signal waveform of the subject under examination, so as to obtain a noise-reduced electrocardiogram signal waveform. The noise reduction processing method includes filtering and / or smoothing.

[0057] The waveform recognition module is also used to identify QRS complexes from the noise-reduced electrocardiogram signal waveform.

[0058] In some embodiments, the information determining module includes:

[0059] An interval determination unit is used to determine the time interval between the starting points of two adjacent QRS groups in the at least two QRS groups;

[0060] An information determination unit is used to determine the RR interval information of the tested object based on the time interval.

[0061] In some embodiments, the wireless sensing component includes a UWB chip or a WIFI chip.

[0062] In some embodiments, the wireless sensing component includes a UWB chip and a WIFI chip;

[0063] The signal transceiver module is also used for:

[0064] The UWB chip transmits pulse signals to the object under inspection and receives the pulse reflection signals of the pulse signals.

[0065] The WIFI chip transmits wireless signals to the object under inspection and receives the wireless reflected signals of the wireless signals.

[0066] The waveform determination module is also used for:

[0067] The first electrocardiogram waveform of the subject is determined based on the pulse reflection signal and the pulse signal;

[0068] The second electrocardiogram waveform of the subject is determined based on the wireless reflected signal and the wireless signal;

[0069] The target electrocardiogram (ECG) waveform of the subject is determined based on the first ECG waveform and the second ECG waveform.

[0070] In some embodiments, the device further includes a health assessment module;

[0071] The health assessment module includes:

[0072] The result acquisition unit is used to compare the RR interval information with a predetermined target threshold range to obtain the comparison result;

[0073] An evaluation and determination unit is used to determine the health evaluation information of the subject based on the comparison results.

[0074] In some embodiments, the health assessment module further includes:

[0075] The early warning generation unit is used to generate early warning information in a preset form in response to the health evaluation information meeting the early warning conditions. The preset form includes at least one of vibration, sound, text, and telephone notification.

[0076] In some embodiments, the health assessment module further includes a range determination unit;

[0077] The range determination unit is used for:

[0078] Obtain the target personalized information of the subject being examined, the target personalized information including physiological information and / or environmental information of the environment in which the subject is located;

[0079] Based on the pre-built correspondence between sample personalization information and sample threshold range, a sample threshold range that matches the target personalization information is found and used as the target threshold range.

[0080] According to a third aspect of the present disclosure, an electronic device is provided, the device comprising:

[0081] Processor and memory used to store computer programs;

[0082] The processor is configured to implement the information detection method described above when executing the computer program.

[0083] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the information detection method described in any of the preceding claims.

[0084] According to a fifth aspect of the present disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the information detection method described in any of the preceding claims.

[0085] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects:

[0086] This disclosure involves transmitting a wireless sensing signal to a subject based on a wireless sensing component, receiving the reflected signal of the wireless sensing signal, determining the target electrocardiogram (ECG) waveform of the subject based on the reflected signal and the wireless sensing signal, identifying QRS complexes from the target ECG waveform, and then determining the RR interval information of the subject based on the identification of at least two QRS complexes. This method can accurately detect the RR interval information of QRS complexes in ECG signals, meeting the needs for more refined health information detection. It is beneficial for subsequent assessment of the subject's health status based on RR interval information and for providing corresponding health evaluation information.

[0087] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0088] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0089] Figure 1A This is a flowchart illustrating an information detection method according to an exemplary embodiment of the present disclosure;

[0090] Figure 1B This is a schematic diagram illustrating the effect of an information detection method according to an exemplary embodiment of the present disclosure;

[0091] Figure 1C This is a schematic diagram illustrating the effect of an information detection method according to yet another exemplary embodiment of this disclosure;

[0092] Figure 2 This is a flowchart illustrating, according to an exemplary embodiment of the present disclosure, how to determine the target electrocardiogram waveform of the subject based on the reflected signal and the wireless sensing signal;

[0093] Figure 3A This is a flowchart illustrating how to identify QRS complexes from the target electrocardiogram signal waveform according to an exemplary embodiment of the present disclosure;

[0094] Figure 3B This is a schematic diagram of the QRS complex in a target electrocardiogram signal waveform according to an exemplary embodiment of the present disclosure;

[0095] Figure 4 This is a flowchart illustrating, according to an exemplary embodiment of the present disclosure, how to determine the RR interval information of the examined object based on the at least two QRS groups;

[0096] Figure 5 This is a flowchart illustrating, according to yet another exemplary embodiment of the present disclosure, how to determine the target electrocardiogram waveform of the subject based on the reflected signal and the wireless sensing signal;

[0097] Figure 6 This is a flowchart illustrating how to determine the target threshold range according to an exemplary embodiment of the present disclosure;

[0098] Figure 7 This is a block diagram illustrating an information detection device according to an exemplary embodiment of the present disclosure;

[0099] Figure 8 This is a block diagram illustrating yet another information detection device according to an exemplary embodiment of the present disclosure;

[0100] Figure 9 This is a block diagram illustrating an electronic device according to an exemplary embodiment of the present disclosure. Detailed Implementation

[0101] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0102] With the development of terminal technology, terminal devices are becoming increasingly functional. Among related technologies, some terminal devices can achieve functions such as heartbeat detection based on UWB (Ultra-Wideband) radar sensing technology.

[0103] However, because heartbeat signals are relatively weak and easily interfered with by factors such as radar noise and body tremors, the accuracy of heartbeat detection schemes in related technologies is low. They can only detect basic information such as the number of heartbeats and cannot meet the needs for more refined information (such as QRS complex and RR interval information of electrocardiogram signals). Consequently, they cannot provide more valuable health evaluation information and affect the user experience.

[0104] In view of this, the present disclosure provides the following information detection methods, apparatus, equipment, storage media and program products to solve the above-mentioned drawbacks in the related technologies.

[0105] Figure 1A This is a flowchart illustrating an information detection method according to an exemplary embodiment. The method of this embodiment can be executed by an information detection device, which can be configured in an electronic device, such as a server, workstation, personal computer, mobile terminal (such as mobile phone, tablet computer, etc.), wearable device (such as glasses, watch, etc.).

[0106] like Figure 1A As shown, the method includes the following steps S101-S103:

[0107] In step S101, a wireless sensing signal is transmitted to the object under inspection based on the wireless sensing component, and the reflected signal of the wireless sensing signal is received.

[0108] In this embodiment, the electronic device can transmit wireless sensing signals to the object being inspected based on the wireless sensing component, and receive the reflected signals of the wireless sensing signals.

[0109] The reflected signal may include the signal emitted after the wireless sensing signal comes into contact with the object being inspected.

[0110] In some embodiments, the electronic device may transmit a wireless sensing signal to the object being inspected in response to detecting that a set condition is met, and thereby receive the reflected signal of the wireless sensing signal. The aforementioned set condition can be set based on actual needs, such as setting a set time, period, or frequency, or setting it to receive a user-triggered instruction, etc., and this embodiment does not limit it in this way.

[0111] For example, Figure 1B This is a schematic diagram illustrating the effect of an information detection method according to an exemplary embodiment of the present disclosure; Figure 1C This is a schematic diagram illustrating the effect of an information detection method according to yet another exemplary embodiment of this disclosure; as shown below. Figure 1B As shown, when a user uses an electronic device (such as a smartwatch) to detect information about a subject (such as the user themselves), the user can trigger the corresponding functions of the electronic device, such as ECG detection. The electronic device is then positioned directly in front of the subject's heart to transmit wireless sensing signals via its wireless sensing components. The corresponding detection interface can then be displayed on the screen of the electronic device. Figure 1C As shown. It is understood that the object being tested in this embodiment is the user himself, and is only used as an example for illustration. In other embodiments, the object being tested can also be an object other than the user, that is, the user can hold the electronic device directly in front of another user's heart to perform information detection.

[0112] The aforementioned wireless sensing components may also include UWB chips and / or WIFI chips. It is understood that, when the wireless sensing component is a UWB chip, the wireless sensing signal may refer to a pulse signal emitted by the UWB chip towards the object being detected, and the reflected signal may refer to the pulse reflection signal of that pulse signal.

[0113] When the wireless sensing component is a WIFI chip, the wireless sensing signal may refer to the wireless signal emitted by the WIFI chip to the object being inspected (e.g., beamforming feedback information wireless signal, etc.), and the reflected signal may refer to the wireless reflection signal of the wireless signal.

[0114] It is worth noting that, in addition to UWB chips and / or WIFI chips, the aforementioned wireless sensing components can also be configured based on actual business needs, such as Sub1G, star flash, or other components with precise ranging capabilities. This embodiment does not limit this.

[0115] In step S102, the target electrocardiogram waveform of the subject is determined based on the reflected signal and the wireless sensing signal.

[0116] In this embodiment, after transmitting a wireless sensing signal to the object under test based on the wireless sensing component and receiving the reflected signal of the wireless sensing signal, the target electrocardiogram waveform of the object under test can be determined based on the reflected signal and the wireless sensing signal.

[0117] It's worth noting that the transmitter of the wireless sensing component can emit a series of wireless sensing signals. When these signals encounter the chest of a subject (such as a human body), they are reflected. The subject's heartbeat and breathing cause subtle rises and falls in the chest, and the waveforms produced by these minute changes are similar to the PQRST waveform in an electrocardiogram (ECG). The receiver of the wireless sensing component can capture these minute displacement changes in the chest, and by analyzing the time series of these displacement changes, it can identify waveforms similar to the PQRST waveform, thereby obtaining the target ECG signal waveform.

[0118] In some embodiments, after receiving the reflected signal of the wireless sensing signal, the reflected signal can be first subjected to noise reduction processing to remove interference from environmental noise and other signals. Then, the target ECG signal waveform of the tested object can be determined using the noise-reduced reflected signal and the wireless sensing signal, thereby improving the accuracy of determining the target ECG signal waveform. The method for noise reduction of the reflected signal can be selected from relevant technologies based on actual needs; this embodiment does not limit this approach.

[0119] In other embodiments, the method of determining the target electrocardiogram waveform of the subject based on the reflected signal and the wireless sensing signal can also be found in the following: Figure 2 The embodiments shown will not be described in detail here.

[0120] In step S103, QRS complexes are identified from the target ECG signal waveform.

[0121] In this embodiment, after determining the target electrocardiogram (ECG) waveform of the tested object based on the reflected signal and the wireless sensing signal, the QRS complex can be identified from the target ECG waveform.

[0122] For example, QRS complexes can be identified from the target ECG waveform based on the characteristics of each waveform in the QRS complex.

[0123] In other embodiments, the method for identifying QRS complexes from the target ECG signal waveform described above can also be found in the following: Figure 3A The embodiments shown will not be described in detail here.

[0124] In step S104, in response to identifying at least two QRS groups, the RR interval information of the examined object is determined based on the at least two QRS groups.

[0125] In this embodiment, after identifying QRS complexes from the target electrocardiogram waveform, the RR interval information of the subject can be determined based on the identification of at least two QRS complexes.

[0126] As is understandable, the RR interval on an electrocardiogram (ECG or EKG) refers to the time interval between the onset of two adjacent QRS complexes, reflecting the heart's rhythm and conduction velocity. The RR interval is an important parameter for assessing heart rate and rhythm. In normal adults, the RR interval is typically between 0.6 and 1.0 seconds, corresponding to a heart rate of 60 to 100 beats per minute, which is the normal resting heart rate range for adults. For example, a shortened RR interval (e.g., less than 0.6 seconds) usually indicates a faster heart rate, which may occur during strenuous exercise, emotional excitement, certain medications, or hyperthyroidism. Conversely, a prolonged RR interval (e.g., greater than 1.0 second) usually indicates a slower heart rate, which may be seen in older adults, athletes, or under anesthesia.

[0127] Therefore, once the RR interval information of the subject is determined, the RR interval information can be compared with a predetermined target threshold range to obtain a comparison result. Then, based on the comparison result, the health evaluation information of the subject can be determined. In this way, the health status of the subject can be judged based on the RR interval information, and corresponding health evaluation information can be provided.

[0128] It is worth noting that the above-mentioned target threshold range can be set based on the content recorded in related technologies, and this embodiment does not limit it in this regard.

[0129] In other embodiments, the method for determining the above-mentioned target threshold range may also refer to the following: Figure 6 The embodiments shown will not be described in detail here.

[0130] In other embodiments, the methods for determining the RR interval information of the tested object may also be described below. Figure 4 The embodiments shown will not be described in detail here.

[0131] As described above, the method of this embodiment transmits a wireless sensing signal to the subject based on a wireless sensing component, receives the reflected signal of the wireless sensing signal, determines the target electrocardiogram (ECG) waveform of the subject based on the reflected signal and the wireless sensing signal, identifies QRS complexes from the target ECG waveform, and then determines the RR interval information of the subject based on the identification of at least two QRS complexes. This method can accurately detect the RR interval information of QRS complexes in ECG signals, meeting the needs for more refined health information detection. It is beneficial for subsequent judgment of the subject's health status based on RR interval information and for providing corresponding health evaluation information.

[0132] Figure 2 This is a flowchart illustrating how to determine the target electrocardiogram (ECG) waveform of the subject based on the reflected signal and the wireless sensing signal, according to an exemplary embodiment of this disclosure. This embodiment is based on the above embodiment and takes how to determine the target ECG waveform of the subject based on the reflected signal and the wireless sensing signal as an example for illustrative explanation.

[0133] like Figure 2 As shown, the determination of the target electrocardiogram waveform of the tested object based on the reflected signal and the wireless sensing signal in step S102 above may include the following steps S201-S203:

[0134] In step S201, the time delay of the reflected signal relative to the wireless sensing signal is determined.

[0135] In this embodiment, when the target electrocardiogram waveform of the tested object is determined based on the reflected signal and the wireless sensing signal, the time delay of the reflected signal relative to the wireless sensing signal can be determined.

[0136] For example, when the receiver of the electronic device based on the wireless sensing component receives the reflected signal, the time deviation (i.e., time of flight) between the reception time of the reflected signal and the transmission time of the wireless sensing signal can be measured, which is the aforementioned time delay. Exemplarily, the aforementioned time delay Δt can be determined based on the following equation (2-1):

[0137] △t=t2-t1; (2-1)

[0138] In the above formula: t2 is the reception time of the reflected signal, and t1 is the transmission time of the wireless sensing signal.

[0139] In step S202, distance change information between the inspected object and the wireless sensing component is determined based on the time delay.

[0140] In this embodiment, after determining the time delay of the reflected signal relative to the wireless sensing signal, the distance change information between the detected object and the wireless sensing component can be determined based on the time delay.

[0141] For example, once the aforementioned time delay Δt is determined, the distance change information Δd between the inspected object and the wireless sensing component can be determined based on the following formula (2-2):

[0142] △d=c*△t / 2; (2-1)

[0143] In the above formula: c is the speed of light, and Δt / 2 represents half of the round-trip time of the wireless sensing signal.

[0144] Understandably, the heartbeat and breathing of the subject cause subtle rises and falls in the chest, and the waveforms produced by these minute changes are similar to the PQRST waveform in an electrocardiogram (ECG). This embodiment captures these minute displacement changes.

[0145] In step S203, the target electrocardiogram waveform of the subject is determined based on the distance change information.

[0146] In this embodiment, after determining the distance change information between the tested object and the wireless sensing component based on the time delay, the target electrocardiogram signal waveform of the tested object can be determined based on the distance change information.

[0147] It is understandable that the waveform generated by the heartbeat is similar to the PQRST waveform in an electrocardiogram (ECG). When a series of wireless sensing signals are transmitted and received by the wireless sensing component and a series of tiny displacement changes in the chest are captured, the characteristics similar to the PQRST waveform can be identified by analyzing the time series of these displacement changes, thereby obtaining the target ECG signal waveform.

[0148] Furthermore, considering the relatively slow changes in chest rise and fall caused by breathing, high-frequency components can be filtered out to extract the respiratory signal. Then, by analyzing the periodicity and amplitude of the respiratory signal, indicators such as respiratory rate can be calculated. Once the respiratory rate and other indicator values ​​of the subject are determined, they can be compared with corresponding threshold ranges to obtain comparison results. Based on these comparison results, the health evaluation information of the subject can then be determined.

[0149] As described above, this embodiment determines the time delay of the reflected signal relative to the wireless sensing signal, and determines the distance change information between the tested object and the wireless sensing component based on the time delay. Then, based on the distance change information, it determines the target ECG signal waveform of the tested object. This allows for accurate determination of the target ECG signal waveform of the tested object based on the reflected signal and the wireless sensing signal. Furthermore, it enables the subsequent identification of QRS complexes and determination of the RR interval information of the tested object from the target ECG signal waveform. This meets the needs for more refined health information detection, facilitates subsequent judgment of the tested object's health status based on RR interval information, and provides corresponding health evaluation information.

[0150] Figure 3A This is a flowchart illustrating how to identify QRS complexes from a target electrocardiogram (ECG) signal waveform according to an exemplary embodiment of the present disclosure. This embodiment is based on the above embodiment and uses the method of identifying QRS complexes from a target ECG signal waveform as an example for illustrative explanation.

[0151] like Figure 3A As shown, the identification of QRS complexes from the target ECG signal waveform in step S103 above may include the following steps S301-S303:

[0152] In step S301, the R wave is identified from the target electrocardiogram signal waveform.

[0153] In this embodiment, when identifying the QRS complex from the target ECG signal waveform, the R wave can be identified first. The R wave is the steepest waveform in the ECG signal.

[0154] Understandably, identifying the QRS complex in an electrocardiogram (ECG) waveform is a crucial step in assessing cardiac electrophysiological activity. The QRS complex represents the ventricular depolarization process, i.e., the propagation of electrical excitation before ventricular contraction. Typically, the R wave is the steepest and most easily identifiable part of the QRS complex; therefore, when identifying the QRS complex from a target ECG waveform, the R wave can be identified first. For example, Figure 3B This is a schematic diagram of the QRS complex in a target electrocardiogram signal waveform according to an exemplary embodiment of the present disclosure; as shown below. Figure 3B As shown, the R wave is... Figure 3B The waveform shown is the steepest among the target electrocardiogram signal waveforms.

[0155] In step S302, the downward deflected waveform adjacent to the R wave is determined as the Q wave.

[0156] Understandably, the Q wave precedes the R wave and is deflected downwards. Normally, if a Q wave is present, it will be small and brief (typically less than 1 / 4 of the R wave amplitude and lasting less than 0.04 seconds); a deep and broad Q wave may indicate an abnormal heart problem. Therefore, after identifying the R wave from the target ECG waveform, the adjacent downward-deflected waveform preceding the R wave can be identified as the Q wave, such as... Figure 3B As shown.

[0157] In step S303, the downward deflection waveform adjacent to the R wave is determined as the S wave.

[0158] It is understandable that the S wave follows the R wave and deflects downwards. Therefore, once the R wave is identified from the target ECG signal waveform, the adjacent downward-deflected waveform following the R wave can be identified as the S wave, such as... Figure 3B As shown. Based on the determination of the QRS complex, the P wave and T wave can also be determined, such as... Figure 3B As shown.

[0159] In other embodiments, after determining the target ECG signal waveform of the subject, noise reduction processing can be performed on the target ECG signal waveform to improve data accuracy, resulting in a noise-reduced ECG signal waveform. For example, the noise reduction processing may include filtering and / or smoothing, etc., which are not limited in this embodiment. Based on this, the identification of QRS complexes from the target ECG signal waveform described in this embodiment may include identifying QRS complexes from the noise-reduced ECG signal waveform.

[0160] As described above, this embodiment identifies the R wave (the steepest waveform in the target ECG signal) from the target ECG signal waveform, determines the adjacent downward-deflected waveform before the R wave as the Q wave, and determines the adjacent downward-deflected waveform after the R wave as the S wave. This allows for accurate identification of the QRS complex from the target ECG signal waveform based on its characteristics. Furthermore, by performing noise reduction processing on the target ECG signal waveform and then identifying the QRS complex from the noise-reduced ECG signal waveform, the accuracy of QRS complex identification can be further improved, thereby enhancing the accuracy of subsequent determination of the RR interval information of the tested subject based on the QRS complex.

[0161] Figure 4 This is a flowchart illustrating how to determine the RR interval information of the tested object based on the at least two QRS groups, according to an exemplary embodiment of the present disclosure. This embodiment is based on the above embodiment and takes how to determine the RR interval information of the tested object based on the at least two QRS groups as an example for illustrative explanation.

[0162] like Figure 4 As shown, the determination of the RR interval information of the examined object based on the at least two QRS groups in step S104 above may include the following steps S301-S302:

[0163] In step S401, the time interval between the starting points of two adjacent QRS groups in the at least two QRS groups is determined;

[0164] In step S402, the RR interval information of the tested object is determined based on the time interval.

[0165] Understandably, RR interval information refers to the time interval between the start of one QRS complex (e.g., the top of the R wave) and the start of the next QRS complex. This time interval helps to understand the rate and regularity of the subject's heartbeat. The normal RR interval range is approximately 0.6 to 1.0 seconds.

[0166] Once the RR interval information is determined, the health status of the subject can be assessed based on this information. For example, by determining the RR interval information, the regularity of the heart rate can be evaluated. For instance, if all RR intervals are roughly the same, then the heart rhythm is regular; while if the RR intervals are significantly different, there may be arrhythmia. Thus, the health status of the subject can be determined based on the RR interval information. Furthermore, corresponding health assessment information can be provided to the user.

[0167] In some embodiments, after determining the RR interval information, the RR interval information can be compared with a predetermined target threshold range to obtain a comparison result, and then the health evaluation information of the tested object can be determined based on the comparison result. Furthermore, in response to the health evaluation information meeting the warning conditions, a preset form of warning information can be generated. Exemplarily, the preset form may include at least one of vibration, sound, text, and telephone notification; this embodiment does not limit this.

[0168] As described above, this embodiment can accurately determine the RR interval information of the subject by determining the time interval between the starting points of two adjacent QRS groups in the at least two QRS groups and determining the RR interval information of the subject based on the time interval. This can meet the needs for more refined health information detection, and is beneficial for subsequent judgment of the subject's health status based on the RR interval information, as well as providing corresponding health evaluation information.

[0169] Figure 5This is a flowchart illustrating how to determine the target electrocardiogram (ECG) waveform of the subject based on the reflected signal and the wireless sensing signal, according to yet another exemplary embodiment of this disclosure. This embodiment is based on the above embodiment and uses the example of how to determine the target ECG waveform of the subject based on the reflected signal and the wireless sensing signal for illustrative purposes.

[0170] In this embodiment, the wireless sensing component includes a UWB chip and a WIFI chip. Based on this, such as... Figure 5 As shown, the determination of the target electrocardiogram waveform of the tested object based on the reflected signal and the wireless sensing signal in step S102 above may include the following steps S501-S505:

[0171] In step S501, a pulse signal is transmitted to the object under test based on the UWB chip, and the pulse reflection signal of the pulse signal is received;

[0172] In step S502, a wireless signal is transmitted to the object under inspection based on the WIFI chip, and the wireless reflection signal of the wireless signal is received.

[0173] In step S503, the first electrocardiogram waveform of the subject is determined based on the pulse reflection signal and the pulse signal;

[0174] In step S504, the second electrocardiogram waveform of the subject is determined based on the wireless reflected signal and the wireless signal;

[0175] The explanations and descriptions of steps S501-S504 can be found above. Figures 1A to 4 The embodiments shown are not described in detail here.

[0176] In step S505, the target electrocardiogram waveform of the subject is determined based on the first electrocardiogram waveform and the second electrocardiogram waveform.

[0177] In this embodiment, after obtaining the first and second electrocardiogram (ECG) waveforms of the subject based on the UWB chip and the WIFI chip respectively, the target ECG waveform of the subject can be determined based on the first and second ECG waveforms.

[0178] For example, assuming the first ECG signal waveform is ECG signal data within time period x, and the second ECG signal waveform is ECG signal data within time period y, then ECG signal data within the same time period Z can be compared.

[0179] For example, the data from the two Z time periods mentioned above can be extracted and compared using a sliding window:

[0180] If the difference between the data in two sliding windows (e.g., the absolute value of the difference) is less than or equal to a set threshold, a weighted sum operation can be performed on the data in the two sliding windows to obtain the target ECG signal data in the current sliding window. This process can be repeated to obtain all ECG signal data of the subject within the Z time period, and thus the target ECG signal waveform. It is worth noting that the weights used in the above weighted sum operation can be set based on actual needs; this embodiment does not limit this.

[0181] However, if the difference between the data in the two sliding windows is greater than the set threshold, the abnormal ECG data in the current sliding window can be corrected based on pre-set information, such as whether the data from the WIFI chip or the UWB chip is more trusted, or based on historical measurement data. Then, a weighted sum operation is performed based on the corrected data to obtain the target ECG signal data, and thus the target ECG signal waveform of the subject is obtained.

[0182] As described above, this embodiment transmits a pulse signal to the subject based on the UWB chip and receives the pulse reflection signal of the pulse signal, and transmits a wireless signal to the subject based on the WIFI chip and receives the wireless reflection signal of the wireless signal. Based on the pulse reflection signal and the pulse signal, a first ECG waveform of the subject is determined, and a second ECG waveform of the subject is determined based on the wireless reflection signal and the wireless signal. Then, based on the first ECG waveform and the second ECG waveform, a target ECG waveform of the subject is determined. The accuracy of determining the target ECG waveform of the subject can be improved through mutual calibration and data fusion of the UWB chip and the WIFI chip.

[0183] Figure 6 This is a flowchart illustrating how to determine the target threshold range according to an exemplary embodiment of the present disclosure; this embodiment is an exemplary description based on the above embodiment, taking how to determine the target threshold range as an example.

[0184] like Figure 6 As shown, the information detection method of this embodiment may further include determining the target threshold range based on the following steps S601-S602:

[0185] In step S601, the target personalized information of the inspected object is obtained.

[0186] In this embodiment, when the target threshold range for comparing the RR interval information of the tested object is determined, the target personalized information of the tested object can be obtained.

[0187] The aforementioned personalized information may include the physiological information of the subject being examined and / or the environmental information of the environment in which the subject being examined is located.

[0188] For example, the aforementioned physiological information may include at least one of the following: age, gender, height, weight, etc.

[0189] The aforementioned environmental information may include at least one of the following: time, season, geographical location, etc.

[0190] In step S602, based on the pre-built correspondence between sample personalization information and sample threshold range, a sample threshold range that matches the target personalization information is found and used as the target threshold range.

[0191] In this embodiment, after obtaining the target personalized information of the tested object, the sample threshold range that matches the target personalized information can be found based on the pre-constructed correspondence between sample personalized information and sample threshold range, and used as the target threshold range.

[0192] Understandably, the correspondence between the aforementioned personalized information of samples and the sample threshold range can be pre-constructed based on a large amount of sample data. For example, multiple sample subjects can be selected, and for each sample subject, the personalized information can be... Figures 1A to 5 The method of the illustrated embodiment determines the sample RR interval information of each sample subject, and then the sample threshold range of the sample RR interval information can be determined by means of manual evaluation, etc. At the same time, the sample personalized information (physiological information and / or environmental information of the environment in which the sample is located) of each sample subject can be obtained, and then the correspondence between different sample personalized information and the corresponding sample threshold range can be constructed.

[0193] As described above, this embodiment obtains the target personalized information of the tested object and finds the sample threshold range that matches the target personalized information based on the pre-constructed correspondence between sample personalized information and sample threshold range, and uses it as the target threshold range. This can realize the determination of the target threshold range based on the target personalized information of the tested object, and can improve the rationality and accuracy of determining the target threshold range.

[0194] Figure 7 This is a block diagram illustrating an information detection device according to an exemplary embodiment of the present disclosure; the device of this embodiment can be configured in electronic devices, such as servers, workstations, personal computers, mobile terminals (such as mobile phones, tablets, etc.), wearable devices (such as glasses, watches, etc.). Figure 7As shown, the device may include: a signal transceiver module 110, a waveform determination module 120, a waveform recognition module 130, and an information determination module 140, wherein:

[0195] The signal transceiver module 110 is used to transmit a wireless sensing signal to the object under inspection based on the wireless sensing component, and to receive the reflected signal of the wireless sensing signal, wherein the reflected signal includes the signal emitted after the wireless sensing signal comes into contact with the object under inspection.

[0196] The waveform determination module 120 is used to determine the target electrocardiogram signal waveform of the tested object based on the reflected signal and the wireless sensing signal.

[0197] Waveform recognition module 130 is used to identify QRS complexes from the target electrocardiogram signal waveform;

[0198] Information determination module 140 is used to determine the RR interval information of the examined object based on the at least two QRS groups in response to the identification of at least two QRS groups.

[0199] As described above, the device in this embodiment transmits a wireless sensing signal to the subject based on a wireless sensing component, receives the reflected signal of the wireless sensing signal, determines the target electrocardiogram (ECG) waveform of the subject based on the reflected signal and the wireless sensing signal, identifies QRS complexes from the target ECG waveform, and then determines the RR interval information of the subject based on the identification of at least two QRS complexes. This allows for accurate detection of the RR interval information of QRS complexes in the ECG signal, meeting the need for more refined health information detection. It is beneficial for subsequent assessment of the subject's health status based on the RR interval information and for providing corresponding health evaluation information.

[0200] Figure 8 This is a block diagram illustrating another information detection device according to an exemplary embodiment of the present disclosure. The device of this embodiment can be configured in electronic devices, such as servers, workstations, personal computers, mobile terminals (e.g., mobile phones, tablets), wearable devices (e.g., glasses, watches), etc. The signal transceiver module 210, waveform determination module 220, waveform recognition module 230, and information determination module 240 are as described above. Figure 7 The signal transceiver module 110, waveform determination module 120, waveform recognition module 130, and information determination module 140 in the illustrated embodiment have the same functions, which will not be described in detail here. Figure 8 As shown, the waveform determination module 220 may include:

[0201] Delay determination unit 221 is used to determine the time delay of the reflected signal relative to the wireless sensing signal;

[0202] The change determination unit 222 is used to determine the distance change information between the detected object and the wireless sensing component based on the time delay;

[0203] The waveform determination unit 223 is used to determine the target electrocardiogram signal waveform of the subject based on the distance change information.

[0204] In some embodiments, the waveform recognition module 230 may include:

[0205] R-wave recognition unit 231 is used to identify R-waves from the target electrocardiogram signal waveform, wherein the R-wave is the steepest waveform in the electrocardiogram signal.

[0206] Q-wave determination unit 232 is used to determine the downward deflected waveform adjacent to the R-wave as a Q-wave;

[0207] S-wave determination unit 233 is used to determine the downward deflected waveform adjacent to the R-wave as an S-wave.

[0208] In some embodiments, the above-described apparatus may further include:

[0209] The noise reduction processing module 250 is used to perform noise reduction processing on the target electrocardiogram signal waveform in response to determining the target electrocardiogram signal waveform of the subject under examination, so as to obtain the noise-reduced electrocardiogram signal waveform. The noise reduction processing method includes filtering and / or smoothing.

[0210] Furthermore, the waveform recognition module 230 can also be used to identify QRS complexes from the noise-reduced ECG signal waveform.

[0211] In some embodiments, the information determination module 240 may include:

[0212] Interval determination unit 241 is used to determine the time interval between the starting points of two adjacent QRS groups in the at least two QRS groups;

[0213] Information determination unit 242 is used to determine the RR interval information of the tested object based on the time interval.

[0214] In some embodiments, the wireless sensing component may include a UWB chip or a WIFI chip.

[0215] In some embodiments, the wireless sensing component may include a UWB chip and a WIFI chip;

[0216] Furthermore, the signal transceiver module 210 can also be used for:

[0217] The UWB chip transmits pulse signals to the object under inspection and receives the pulse reflection signals of the pulse signals.

[0218] The WIFI chip transmits wireless signals to the object under inspection and receives the wireless reflected signals of the wireless signals.

[0219] Waveform determination module 220 can also be used for:

[0220] The first electrocardiogram waveform of the subject is determined based on the pulse reflection signal and the pulse signal;

[0221] The second electrocardiogram waveform of the subject is determined based on the wireless reflected signal and the wireless signal;

[0222] The target electrocardiogram (ECG) waveform of the subject is determined based on the first ECG waveform and the second ECG waveform.

[0223] In some embodiments, the above-described apparatus may further include a health assessment module 260;

[0224] The health assessment module 260 may include:

[0225] The result acquisition unit 261 is used to compare the RR interval information with a predetermined target threshold range to obtain a comparison result;

[0226] Evaluation and determination unit 262 is used to determine the health evaluation information of the subject based on the comparison results.

[0227] In some embodiments, the health assessment module 260 may further include:

[0228] The warning generation unit 263 is used to generate a preset form of warning information in response to the health evaluation information meeting the warning conditions. The preset form includes at least one of vibration, sound, text and telephone notification.

[0229] In some embodiments, the health assessment module 260 may further include a range determination unit 264;

[0230] Range determination unit 264, used for:

[0231] Obtain the target personalized information of the subject being examined, the target personalized information including physiological information and / or environmental information of the environment in which the subject is located;

[0232] Based on the pre-built correspondence between sample personalization information and sample threshold range, a sample threshold range that matches the target personalization information is found and used as the target threshold range.

[0233] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0234] Figure 9 This is a block diagram illustrating an electronic device according to an exemplary embodiment. For example, device 900 may be a mobile phone, computer, digital broadcasting terminal, messaging device, game console, tablet device, medical device, fitness device, personal digital assistant, etc.

[0235] Reference Figure 9 The device 900 may include one or more of the following components: a processing component 902, a memory 904, a power supply component 906, a multimedia component 908, an audio component 910, an input / output (I / O) interface 912, a sensor component 914, and a communication component 916.

[0236] Processing component 902 typically controls the overall operation of device 900, such as operations associated with display, telephone calls, data communication, camera operation, and recording. Processing component 902 may include one or more processors 920 to execute instructions to complete all or part of the steps of the information detection method described above. Furthermore, processing component 902 may include one or more modules to facilitate interaction between processing component 902 and other components. For example, processing component 902 may include a multimedia module to facilitate interaction between multimedia component 908 and processing component 902.

[0237] Memory 904 is configured to store various types of data to support the operation of device 900. Examples of this data include instructions for any application or method operating on device 900, contact data, phonebook data, messages, pictures, videos, etc. Memory 904 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0238] Power supply component 906 provides power to various components of device 900. Power supply component 906 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 900.

[0239] Multimedia component 908 includes a screen that provides an output interface between the device 900 and the user. In some embodiments, the screen may include a liquid crystal display panel and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe action but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 908 includes a front-facing camera and / or a rear-facing camera. When the device 900 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0240] Audio component 910 is configured to output and / or input audio signals. For example, audio component 910 includes a microphone (MIC) configured to receive external audio signals when device 900 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 904 or transmitted via communication component 916. In some embodiments, audio component 910 also includes a speaker for outputting audio signals.

[0241] I / O interface 912 provides an interface between processing component 902 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0242] Sensor assembly 914 includes one or more sensors for providing status assessments of various aspects of device 900. For example, sensor assembly 914 can detect the on / off state of device 900, the relative positioning of components such as the display panel and keypad of device 900, changes in the position of device 900 or a component of device 900, the presence or absence of user contact with device 900, the orientation or acceleration / deceleration of device 900, and temperature changes of device 900. Sensor assembly 914 may also include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 914 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 914 may also include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, or a temperature sensor.

[0243] Communication component 916 is configured to facilitate wired or wireless communication between device 900 and other devices. Device 900 can access wireless networks based on communication standards, such as WiFi, 2G or 3G, 4G or 5G, or combinations thereof. In one exemplary embodiment, communication component 916 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 916 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0244] In an exemplary embodiment, device 900 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the information detection method described above.

[0245] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 904 including instructions, which can be executed by a processor 920 of device 900 to complete the information detection method described above. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0246] In an exemplary embodiment, a computer program product including instructions is also provided, which can be executed by the processor 920 of the device 900 to complete the information detection method described above.

[0247] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the foregoing claims.

[0248] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. An information detection method, characterized in that, The method includes: The wireless sensing component transmits a wireless sensing signal to the object being inspected and receives the reflected signal of the wireless sensing signal, wherein the reflected signal includes the signal emitted after the wireless sensing signal comes into contact with the object being inspected. The target electrocardiogram waveform of the subject is determined based on the reflected signal and the wireless sensing signal. Identify QRS complexes from the target electrocardiogram waveform; In response to the identification of at least two QRS groups, the RR interval information of the examined object is determined based on the at least two QRS groups.

2. The method according to claim 1, characterized in that, Determining the target electrocardiogram waveform of the subject based on the reflected signal and the wireless sensing signal includes: Determine the time delay of the reflected signal relative to the wireless sensing signal; Based on the time delay, determine the distance change information between the inspected object and the wireless sensing component; The target electrocardiogram waveform of the subject is determined based on the distance change information.

3. The method according to claim 1, characterized in that, The step of identifying QRS complexes from the target electrocardiogram waveform includes: The R wave is identified from the target electrocardiogram (ECG) signal waveform, wherein the R wave is the steepest waveform in the ECG signal. The downward deflected waveform adjacent to the R wave is defined as the Q wave; The downward-deflected waveform adjacent to the R-wave is defined as the S-wave.

4. The method according to claim 1 or 3, characterized in that, The method further includes: In response to determining the target electrocardiogram (ECG) signal waveform of the subject under examination, the target ECG signal waveform is subjected to noise reduction processing to obtain a noise-reduced ECG signal waveform. The noise reduction processing method includes filtering and / or smoothing. The step of identifying QRS complexes from the target electrocardiogram waveform includes: Identify QRS complexes from the ECG signal waveform after noise reduction.

5. The method according to claim 1, characterized in that, Determining the RR interval information of the examined object based on the at least two QRS groups includes: Determine the time interval between the initiation points of two adjacent QRS groups in the at least two QRS groups; The RR interval information of the tested object is determined based on the time interval.

6. The method according to claim 1, characterized in that, The wireless sensing component includes a UWB chip or a WIFI chip.

7. The method according to claim 1, characterized in that, The wireless sensing components include a UWB chip and a WIFI chip; The method of transmitting wireless sensing signals to the object under inspection based on the wireless sensing component and receiving the reflected signals of the wireless sensing signals includes: The UWB chip transmits pulse signals to the object under inspection and receives the pulse reflection signals of the pulse signals. The WIFI chip transmits wireless signals to the object under inspection and receives the wireless reflected signals of the wireless signals. Determining the target electrocardiogram waveform of the subject based on the reflected signal and the wireless sensing signal includes: The first electrocardiogram waveform of the subject is determined based on the pulse reflection signal and the pulse signal; The second electrocardiogram waveform of the subject is determined based on the wireless reflected signal and the wireless signal; The target electrocardiogram (ECG) waveform of the subject is determined based on the first ECG waveform and the second ECG waveform.

8. The method according to claim 1, characterized in that, The method further includes: The RR interval information is compared with a predetermined target threshold range to obtain the comparison result; Based on the comparison results, the health evaluation information of the examined subject is determined.

9. The method according to claim 8, characterized in that, The method further includes: In response to the health assessment information meeting the warning conditions, a warning message in a preset format is generated, the preset format including at least one of vibration, sound, text and telephone notification.

10. The method according to claim 8, characterized in that, The method further includes determining the target threshold range based on the following: Obtain the target personalized information of the subject being examined, the target personalized information including physiological information and / or environmental information of the environment in which the subject is located; Based on the pre-built correspondence between sample personalization information and sample threshold range, a sample threshold range that matches the target personalization information is found and used as the target threshold range.

11. An information detection device, characterized in that, The device includes: The signal transceiver module is used to transmit wireless sensing signals to the object under inspection based on the wireless sensing component, and to receive the reflected signals of the wireless sensing signals, wherein the reflected signals include the signals emitted after the wireless sensing signals come into contact with the object under inspection. A waveform determination module is used to determine the target electrocardiogram signal waveform of the tested object based on the reflected signal and the wireless sensing signal. A waveform recognition module is used to identify QRS complexes from the target electrocardiogram signal waveform; An information determination module is used to determine the RR interval information of the examined object based on the identification of at least two QRS groups.

12. An electronic device, characterized in that, The device includes: Processor and memory used to store computer programs; The processor is configured to implement the information detection method according to any one of claims 1 to 10 when executing the computer program.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the information detection method according to any one of claims 1 to 10.

14. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the information detection method according to any one of claims 1 to 10.

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