Instant intelligent alarm system capable of identifying and responding to sudden heartbeat arrest event

Abstract

The invention relates to the technical field of medical monitoring alarm, and discloses an instant intelligent alarm system capable of identifying and responding to sudden heartbeat arrest events, which comprises a signal acquisition module, a signal processing module, an alarm level intelligent identification module and an alarm module. The alarm optical signal and the alarm sound signal of the monitor are monitored at the same time through the signal acquisition module, and whether an alarm event occurs or not is judged by combining the optical / sound signals, so that the judgment accuracy is improved, the false alarm rate is greatly reduced, and the waste of medical resources is avoided. In addition, the alarm light signals and the alarm sound signals are preprocessed through the signal processing module, the accuracy of the signals is guaranteed, and the judgment accuracy is further improved. And meanwhile, an alarm event is intelligently identified through an alarm grade intelligent identification module, and graded response is carried out at the first time, so that the timeliness and effectiveness of notification are ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical monitoring alarm, in particular to an instant intelligent alarm system capable of identifying and responding to sudden cardiac arrest events. BACKGROUND

[0002] Sudden cardiac arrest is a serious cardiovascular emergency, which has the characteristics of suddenness and high fatality. According to statistics, the number of deaths due to sudden cardiac arrest worldwide each year exceeds 10 million. The golden time for emergency treatment is within 4 minutes after the occurrence of sudden cardiac arrest. Within this time period, timely cardiopulmonary resuscitation (CPR) and the use of automatic external defibrillators (AED) can increase the survival rate of patients by 30%-50%. However, the existing intelligent identification and instant alarm mechanism for sudden cardiac arrest events still has many deficiencies, which is difficult to meet the needs of actual emergency scenes.

[0003] At present, hospitals and other medical institutions usually have professional vital sign monitoring equipment such as electrocardiogram monitors, which can monitor the heart rate, electrocardiogram waveform and other parameters of patients in real time, and issue an alarm when an abnormality occurs.

[0004] However, due to the random occurrence of sudden cardiac arrest and the short emergency time, the alarm sound of the monitor is only in the corresponding ward, and sometimes it cannot be timely delivered to medical staff, resulting in missed best emergency time.

[0005] Therefore, it is necessary to design an instant intelligent alarm system capable of identifying and responding to sudden cardiac arrest events, which has important practical significance. SUMMARY

[0006] In view of this, the present application provides an instant intelligent alarm system capable of identifying and responding to sudden cardiac arrest events, aiming to solve the problems in the background art.

[0007] In one aspect, the present application provides an instant intelligent alarm system capable of identifying and responding to sudden cardiac arrest events, comprising: A signal acquisition module for acquiring alarm sound signals and alarm light signals generated when a monitor alarm event occurs, and transmitting them to a signal processing module; A signal processing module for receiving the alarm sound signals and alarm light signals collected by the signal acquisition module, preprocessing the alarm sound signals and alarm light signals, and transmitting the preprocessed alarm sound signals and alarm light signals to an alarm level identification module; An alarm level identification module for receiving the preprocessed alarm sound signals and alarm light signals and performing classification identification to determine the alarm event level; The alarm module is configured to execute corresponding response operation according to the alarm event level judged by the alarm level identification module and the preset alarm information, and transmit the patient abnormal information to medical staff.

[0008] Further, the signal acquisition module is configured to: The signal acquisition module monitors the alarm indicator light of the monitor in real time. When the light intensity of the alarm indicator light is greater than or equal to the light intensity determination threshold, it is determined that the alarm indicator light flashes, and at the same time, all flashing light intensity data within a preset time are recorded, a light intensity change map data is generated, and the light intensity change map data is transmitted to the signal processing module. The signal acquisition module monitors the noise intensity information in the ward in real time. When the noise intensity information is greater than or equal to the noise intensity determination threshold, it is determined that there is an alarm sound, and at the same time, the noise intensity data of the alarm sound is transmitted to the signal processing module.

[0009] Further, the signal acquisition module is further configured to: The signal acquisition module is preset with a light intensity differentiation threshold and a noise differentiation threshold. The signal acquisition module collects ward environment light and environment sound data, generates environment light and environment sound baseline values, adds the environment light baseline value and the light intensity differentiation threshold to obtain the light intensity determination threshold, and adds the environment sound baseline value and the noise differentiation threshold to obtain the noise intensity determination threshold.

[0010] Further, the signal acquisition module is further configured to: The signal acquisition module is preset with a light intensity determination threshold and a noise differentiation threshold. During a non-alarm period, the signal acquisition module continuously collects environment light and environment sound data, generates real-time environment light and environment sound baseline values, and adjusts the light intensity determination threshold and the noise intensity determination threshold according to the real-time environment light and environment sound baseline values. When the difference between the real-time environment light baseline value and the environment light baseline value used in calculating the current noise intensity determination threshold exceeds the light intensity determination threshold, the real-time environment light baseline value is added to the light intensity differentiation threshold to regenerate the light intensity determination threshold. When the difference between the real-time environment sound baseline value and the environment sound baseline value used in calculating the current noise intensity determination threshold exceeds the noise differentiation threshold, the real-time environment sound baseline value is added to the noise differentiation threshold to regenerate the noise intensity determination threshold.

[0011] Further, the signal processing module is configured to: filtering the received light intensity variation data to filter out baseline variation less than or equal to 0.1 Hz, retain flicker signals of 1.4 Hz-2.8 Hz and 0.4 Hz-0.8 Hz, generate a flicker frequency, and transmit the flicker frequency to the alarm level identification module.

[0012] filtering the received noise intensity data to filter out noise intensity data with a frequency less than or equal to 50 Hz and greater than or equal to 2000 Hz, retain noise of 150 Hz-1000 Hz, generate a pulse width of the noise of 150 Hz-1000 Hz, and transmit the pulse width to the alarm level identification module.

[0013] Further, the alarm level identification module is preconfigured with a first flicker frequency threshold, a second flicker frequency threshold, a first pulse width range, and a second pulse width range, and the alarm level identification module is configured to: when the flicker frequency is the first flicker frequency threshold or the pulse width is in the first pulse width range, determine that the current alarm event is a first-level alarm event; when the flicker frequency is the second flicker frequency threshold or the pulse width is in the second pulse width range, determine that the current alarm event is a second-level alarm event; Further, the alarm module stores the alarm information, including room number, bed number, and medical staff phone information, and the alarm module is configured to: when the alarm level identification module determines that the current alarm event is a first-level alarm event, immediately dial the medical staff phone and inform the room number and bed number information; when the alarm level identification module determines that the current alarm event is a second-level alarm event, immediately send a short message containing the room number and bed number information to the medical staff phone.

[0014] Further, the alarm module also stores medical staff on-duty information and the information of the patient's attending physician and responsible nurse: when the alarm event occurs during hospital working hours, the alarm module preferentially notifies the corresponding attending physician and responsible nurse of the patient; when the alarm event occurs during non-working hours of the hospital, the alarm module preferentially notifies the on-duty doctor and the on-duty nurse.

[0015] Further, the identification of cardiac arrest event instant alarm system further comprises: a human-computer interaction module for human-computer exchange management and configuration, including entering or changing alarm information, medical staff on-duty information, and the information of the patient's attending physician and responsible nurse, and viewing alarm records.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) This invention simultaneously monitors the alarm light signal and alarm sound signal of the monitor through the signal acquisition module, and uses the combined light / sound signal to determine whether an alarm event has occurred, which improves the accuracy of judgment, greatly reduces the false alarm rate, and avoids the waste of medical resources. Moreover, this invention also preprocesses the alarm light signal and alarm sound signal through the signal processing module, ensuring the accuracy of the signal and further improving the accuracy of judgment.

[0017] (2) The present invention uses an alarm level identification module to intelligently identify alarm events and respond in a graded manner, thus ensuring the effectiveness of the notification.

[0018] (3) The present invention monitors and collects environmental noise and ambient light intensity in real time through the signal acquisition module and dynamically adjusts the judgment threshold, thereby further reducing the probability of false alarms.

[0019] On the other hand, the present invention also proposes a method for real-time alarm of cardiac arrest events applied to the intelligent cardiac arrest event real-time alarm system, comprising the following steps: S1. Real-time monitoring of the alarm indicator light of the monitor and the noise intensity information in the ward. When the light intensity of the alarm indicator light is greater than or equal to the light intensity judgment threshold, the alarm indicator light is determined to be flashing. At the same time, all flashing light intensity data within a preset time are recorded to generate light intensity change spectrum data. When the noise intensity information is greater than or equal to the noise intensity judgment threshold, the noise intensity information is recorded. S2. After filtering the light intensity change spectrum data and noise intensity data, the flashing frequency of the alarm indicator light and the pulse width of the alarm sound are generated. S3. Generate the alarm level of the alarm event based on the flashing frequency of the alarm indicator light and the pulse width of the alarm sound: When the flashing frequency is the first flashing frequency threshold or the pulse width is within the range of the first pulse width, the alarm event is determined to be a level one alarm event. When the flashing frequency is the second flashing frequency threshold or the pulse width is within the range of the second pulse width, the alarm event is determined to be a level two alarm event. S4. Execute the corresponding response operation according to the alarm level of the alarm event, and transmit the abnormal patient information to medical staff.

[0020] It is understandable that the aforementioned intelligent cardiac arrest event instant alarm system has the same beneficial effects, and will not be elaborated further here. Attached Figure Description

[0021] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 This is a functional block diagram of an instant intelligent alarm system that can identify and respond to cardiac arrest events, provided in an embodiment of the present invention.

[0022] Figure 2 A flowchart of an instant intelligent alarm method for recognizing and responding to cardiac arrest events provided in an embodiment of the present invention. Detailed Implementation

[0023] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] Cardiac arrest is a serious cardiovascular emergency characterized by its sudden onset and high mortality rate. Statistics show that over ten million people die from cardiac arrest globally each year. The first four minutes after cardiac arrest are the golden window for emergency treatment; timely cardiopulmonary resuscitation (CPR) and the use of an automated external defibrillator (AED) within this period can increase the patient's survival rate by 30%-50%. However, current technologies for intelligent recognition and immediate alarm mechanisms for cardiac arrest events still have many shortcomings, making it difficult to meet the needs of actual emergency situations.

[0025] Currently, hospitals and other medical institutions are typically equipped with professional vital sign monitoring equipment, such as electrocardiogram (ECG) monitors, which can monitor patients' heart rate, ECG waveforms, and other parameters in real time and issue alarms when abnormalities occur. However, due to the randomness of cardiac arrest and the short timeframe for emergency treatment, the alarm sound from the monitor may only be heard in the corresponding ward and cannot be promptly transmitted to medical staff, leading to missed opportunities for optimal emergency care. Therefore, it is necessary to design an instant intelligent alarm system that can identify and respond to cardiac arrest events, which has significant practical implications.

[0026] Reference Figure 1 In some embodiments of this application, an instant intelligent alarm system capable of recognizing and responding to cardiac arrest events includes: The signal acquisition module is used to acquire the alarm sound signal and alarm light signal generated when the alarm event occurs on the monitor, and transmit them to the signal processing module; The signal processing module is used to receive the alarm sound signal and alarm light signal collected by the signal acquisition module, preprocess the alarm sound signal and alarm light signal, and transmit the preprocessed alarm sound signal and alarm light signal to the alarm level identification module. The alarm level identification module is used to receive the preprocessed alarm sound signal and alarm light signal, and perform intelligent classification and identification to determine the alarm event level. The alarm module is used to perform corresponding response operations based on the alarm event level determined by the alarm level identification module and the preset alarm information, and to transmit the patient's abnormal information to medical staff.

[0027] Understandably, by simultaneously monitoring the alarm light and sound signals of the monitor through the signal acquisition module, and using a combined light / sound signal analysis to determine whether an alarm event has occurred, the accuracy of the judgment is improved, the false alarm rate is significantly reduced, and the waste of medical resources is avoided. Furthermore, this invention also preprocesses the alarm light and sound signals through a signal processing module, ensuring signal accuracy and further improving the accuracy of the judgment.

[0028] In some embodiments of this application, the signal acquisition module is configured as follows: The signal acquisition module monitors the alarm indicator light of the monitor in real time. When the light intensity of the alarm indicator light is greater than or equal to the light intensity judgment threshold, it determines that the alarm indicator light is flashing. At the same time, it records all the flashing light intensity data within a preset time, generates light intensity change spectrum data, and transmits the light intensity change spectrum data to the signal processing module. The signal acquisition module monitors the noise intensity information in the ward in real time. When the noise intensity information is greater than or equal to the noise intensity judgment threshold, it determines that there is an alarm sound and transmits the noise intensity data of the alarm sound to the signal processing module.

[0029] Specifically, the signal acquisition module monitors the light intensity of the alarm indicator area of ​​the monitor in real time using a photoresistor at a sampling rate of 1kHz. When an abnormal event of cardiac arrest occurs, the alarm indicator of the monitor will flash, causing the light intensity in its area to suddenly increase. When the signal acquisition module detects that the light intensity is greater than or equal to the preset light intensity judgment threshold, it determines that the alarm indicator is flashing. At this time, it records all the flashing light intensity data within 4 seconds and generates a light intensity curve within 4 seconds.

[0030] Specifically, the signal acquisition module monitors the noise intensity in the ward in real time through the microphone sensor. When an abnormal event of cardiac arrest occurs, the monitor will sound an alarm, causing the noise intensity to suddenly increase. When the signal acquisition module detects that the noise intensity is greater than or equal to the preset noise intensity judgment threshold, it will determine that the monitor will sound an alarm and record all noise intensity data within 4 seconds.

[0031] Specifically, the signal acquisition module uses the ADS1115IDGSR analog-to-digital converter chip to simultaneously acquire signals from the photoresistor (analog signal) and the microphone sensor (digital signal), thereby digitizing the light / sound signals.

[0032] Understandably, this invention significantly improves the accuracy of interpretation and reduces the false alarm rate of the system by using a combination of optical and acoustic signals to determine the time of cardiac arrest.

[0033] In some embodiments of this application, the signal acquisition module is further configured to: The signal acquisition module is preset with a light intensity discrimination threshold and a noise discrimination threshold. The signal acquisition module acquires ambient light and ambient sound data in the ward, generates ambient light and ambient sound baseline values, adds the ambient light baseline value to the light intensity discrimination threshold as the light intensity determination threshold, and adds the ambient sound baseline value to the noise discrimination threshold as the noise intensity determination threshold.

[0034] Specifically, the light intensity determination threshold = ambient light baseline value + light intensity differentiation threshold, where the ambient light baseline value is the average light intensity in the ward environment, and the light intensity differentiation threshold is the minimum difference between the alarm light intensity and the ambient light intensity (determined through clinical testing).

[0035] Specifically, the noise intensity judgment threshold = ambient sound baseline value + noise differentiation threshold, where the ambient noise baseline value is the average value of light noise intensity in the ward environment, and the noise differentiation threshold is the minimum difference between the alarm sound intensity and the ambient noise intensity (determined through clinical testing).

[0036] In some embodiments of this application, the signal acquisition module is further configured to: The signal acquisition module is preset with a light intensity judgment threshold and a noise discrimination threshold. During non-alarm periods, the signal acquisition module continuously acquires ambient light and ambient sound data, generates real-time ambient light and ambient sound baseline values, and adjusts the light intensity judgment threshold and noise intensity judgment threshold based on the real-time ambient light and ambient sound baseline values. When the difference between the real-time ambient light baseline value and the ambient light baseline value used in calculating the current noise intensity determination threshold exceeds the light intensity determination threshold, the real-time ambient light baseline value is added to the light intensity distinction threshold to regenerate the light intensity determination threshold. When the difference between the real-time ambient sound baseline value and the ambient sound baseline value used in calculating the current noise intensity determination threshold exceeds the noise discrimination threshold, the real-time ambient sound baseline value is added to the noise discrimination threshold to regenerate the noise intensity determination threshold.

[0037] Specifically, during non-alarm periods, the signal acquisition module continuously collects ambient light (such as the intensity of ward lights and changes in natural light outside the window) and ambient sound (such as conversations and equipment operating noise) data. It calculates real-time ambient baseline values ​​(average light intensity and average noise intensity) at preset intervals (1 minute). When the difference between the calculated real-time ambient light baseline value and the ambient light baseline value used to calculate the current light intensity judgment threshold exceeds the light intensity judgment threshold, the real-time ambient light baseline value is added to the light intensity distinction threshold to regenerate the light intensity judgment threshold. When the difference between the calculated real-time ambient sound baseline value and the ambient sound baseline value used to calculate the current noise intensity judgment threshold exceeds the noise distinction threshold, the real-time ambient sound baseline value is added to the light intensity distinction threshold to regenerate the light intensity judgment threshold.

[0038] Specifically, when the changes in the baseline values ​​of ambient light and sound exceed the discrimination threshold, there is a risk of misjudgment. Therefore, using the discrimination threshold as the standard for adjusting the judgment threshold can minimize misjudgment caused by changes in environmental factors.

[0039] It is understood that the present invention uses a signal acquisition module to monitor and collect environmental noise and ambient light intensity in real time, and dynamically adjusts the judgment threshold, thereby further reducing the probability of false alarms.

[0040] In some embodiments of this application, the signal processing module is configured to: The received light intensity change spectrum data is filtered to remove baseline changes less than or equal to 0.1Hz, retaining flicker signals in the range of 1.4Hz-2.8Hz and 0.4Hz-0.8Hz, generating flicker frequencies, and transmitting the flicker frequencies to the alarm level identification module.

[0041] The received noise intensity data is filtered to remove noise intensity data with frequencies less than or equal to 50Hz and greater than or equal to 2000Hz, retaining noise in the range of 150Hz-1000Hz, generating a pulse width for the noise in the range of 150Hz-1000Hz, and transmitting the pulse width to the alarm level identification module.

[0042] Specifically, based on the characteristic parameters of alarm signals in the YY 0709-2009 standard (such as the high-priority flashing frequency of light signals at 1.4Hz-2.8Hz and the medium-priority at 0.4Hz-0.8Hz; and the pulse frequency of sound signals at 150Hz-1000Hz), customized filtering rules are established to ensure that only signal frequency bands that meet the alarm characteristics are retained, while irrelevant drift interference is filtered out.

[0043] In some embodiments of this application, the alarm level identification module is preset with a first flashing frequency threshold, a second flashing frequency threshold, a first pulse width range, and a second pulse width range, and the alarm level identification module is configured as follows: When the flashing frequency is the first flashing frequency threshold or the pulse width is within the range of the first pulse width, the alarm event is determined to be a level one alarm event. When the flashing frequency is the second flashing frequency threshold or the pulse width is within the range of the second pulse width, the alarm event is determined to be a level two alarm event. Specifically, the first flicker frequency threshold, the second flicker frequency threshold, the first pulse width range, and the second pulse width range are set according to the YY 0709-2009 standard, which specifies: The flashing frequency of the high priority alarm is 2 times per second, and the flashing frequency of the medium priority alarm is 1 time per 2 seconds. Therefore, the flashing frequency of 2 times per second is used as the first flashing frequency threshold, and the flashing frequency of 1 time per 2 seconds is used as the second flashing frequency threshold. The pulse width of the alarm sound for the high priority alarm is 740±100ms, and the pulse width of the alarm sound for the medium priority alarm is 490±100ms. Therefore, 740±100ms is taken as the first pulse width range, and 490±100ms is taken as the second pulse width range.

[0044] In some embodiments of this application, the alarm module stores the alarm information, including: room number, bed number, and medical staff telephone information, and the alarm module is configured to: When the alarm level identification module determines that the alarm event is a level one alarm event, the alarm module immediately calls the medical staff and informs them of the room number and bed number. When the alarm level identification module determines that the alarm event is a level 2 alarm event, the alarm module immediately sends a text message containing the room number and bed number to the medical staff by phone.

[0045] In some embodiments of this application, the alarm module also stores medical staff on-duty information and information about the patient's attending physician and responsible nurse: When an alarm event occurs during hospital working hours, the alarm module will first notify the patient's attending physician and the nurse in charge. When an alarm event occurs outside of hospital working hours, the alarm module will prioritize notifying the on-duty doctor and on-duty nurse.

[0046] Specifically, when the alarm level identification module determines that the alarm event is a Level 1 alarm event, the alarm module immediately dials the medical staff's phone number with the voice message: "Attention! Room number, bed number, Level 1 alarm"; when the alarm level identification module determines that the alarm event is a Level 2 alarm event, the alarm module immediately sends a text message to the medical staff's phone number with the message: "Attention! Room number, bed number, Level 2 alarm".

[0047] Specifically, the alarm module can prioritize notification recipients based on room and bed numbers: when an alarm event occurs during hospital working hours, the attending physician and the nurse in charge of the patient with the corresponding room and bed number will be the optimal notification recipients, and the alarm event will be prioritized for notification to the attending physician and the nurse in charge of the patient; when an alarm event occurs outside of hospital working hours, the alarm module and duty information will automatically adjust the optimal notification recipients to the on-duty doctor and the on-duty nurse, and the alarm event will be prioritized for notification to the on-duty doctor and the on-duty nurse. Specifically, the alarm module has a maximum of three optimal notification targets. When a Level 1 alarm event occurs, the alarm module will poll the optimal notification targets by telephone.

[0048] In some embodiments of this application, the instant alarm system for recognizing cardiac arrest events further includes: The human-computer interaction module is used for human-computer exchange management and configuration, including entering or changing alarm information, medical staff on-duty information, and information on the patient's attending physician and responsible nurse, as well as viewing alarm records.

[0049] Specifically, medical staff can enter or modify alarm information, staff on-duty information, and information about the patient's attending physician and responsible nurse in the human-computer interaction module, as well as view alarm records. They can also adjust the optimal notification recipients based on actual circumstances.

[0050] In another preferred embodiment based on the above embodiments, see [reference] Figure 2 As shown, this embodiment provides an instant intelligent alarm method capable of recognizing and responding to cardiac arrest events, including: S1. Real-time monitoring of the alarm indicator light of the monitor and the noise intensity information in the ward. When the light intensity of the alarm indicator light is greater than or equal to the light intensity judgment threshold, the alarm indicator light is determined to be flashing. At the same time, all flashing light intensity data within a preset time are recorded to generate light intensity change spectrum data. When the noise intensity information is greater than or equal to the noise intensity judgment threshold, the noise intensity information is recorded. S2. After filtering the light intensity change spectrum data and noise intensity data, the flashing frequency of the alarm indicator light and the pulse width of the alarm sound are generated. S3. Generate the alarm level of the alarm event based on the flashing frequency of the alarm indicator light and the pulse width of the alarm sound: When the flashing frequency is the first flashing frequency threshold or the pulse width is within the range of the first pulse width, the alarm event is determined to be a level one alarm event. When the flashing frequency is the second flashing frequency threshold or the pulse width is within the range of the second pulse width, the alarm event is determined to be a level two alarm event. S4. Execute the corresponding response operation according to the alarm level of the alarm event, and transmit the abnormal patient information to medical staff.

[0051] Understandably, the aforementioned instant intelligent alarm method that can identify and respond to cardiac arrest events has the same beneficial effects, and will not be elaborated upon here.

[0052] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0053] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0054] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0055] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An instant intelligent alarm system capable of recognizing and responding to cardiac arrest events, characterized in that, include: The signal acquisition module is used to acquire the alarm sound signal and alarm light signal generated when the alarm event occurs on the monitor, and transmit them to the signal processing module; The signal processing module is used to receive the alarm sound signal and alarm light signal collected by the signal acquisition module, preprocess the alarm sound signal and alarm light signal, and transmit the preprocessed alarm sound signal and alarm light signal to the alarm level identification module. The alarm level identification module is used to receive the preprocessed alarm sound signal and alarm light signal, classify and identify them, and determine the alarm event level. The alarm module is used to perform corresponding response operations based on the alarm event level determined by the alarm level identification module and the preset alarm information, so as to transmit the abnormal information of the patient to medical staff as soon as possible.

2. The instant intelligent alarm system capable of recognizing and responding to cardiac arrest events according to claim 1, characterized in that, The signal acquisition module is configured as follows: The signal acquisition module monitors the alarm indicator light of the monitor in real time. When the light intensity of the alarm indicator light is greater than or equal to the light intensity judgment threshold, it determines that the alarm indicator light is flashing. At the same time, it records all the flashing light intensity data within a preset time, generates light intensity change spectrum data, and transmits the light intensity change spectrum data to the signal processing module. The signal acquisition module monitors the noise intensity information in the ward in real time. When the noise intensity information is greater than or equal to the noise intensity judgment threshold, it determines that there is an alarm sound and transmits the noise intensity data of the alarm sound to the signal processing module.

3. The instant intelligent alarm system capable of recognizing and responding to cardiac arrest events according to claim 2, characterized in that, The signal acquisition module is also configured to: The signal acquisition module is preset with a light intensity discrimination threshold and a noise discrimination threshold. The signal acquisition module acquires ambient light and ambient sound data in the ward, generates ambient light and ambient sound baseline values, adds the ambient light baseline value to the light intensity discrimination threshold as the light intensity determination threshold, and adds the ambient sound baseline value to the noise discrimination threshold as the noise intensity determination threshold.

4. The instant intelligent alarm system capable of recognizing and responding to cardiac arrest events according to claim 3, characterized in that, The signal acquisition module is also configured to: The signal acquisition module is preset with a light intensity judgment threshold and a noise discrimination threshold. During non-alarm periods, the signal acquisition module continuously acquires ambient light and ambient sound data, generates real-time ambient light and ambient sound baseline values, and adjusts the light intensity judgment threshold and noise intensity judgment threshold based on the real-time ambient light and ambient sound baseline values. When the difference between the real-time ambient light baseline value and the ambient light baseline value used in calculating the current noise intensity determination threshold exceeds the light intensity determination threshold, the real-time ambient light baseline value is added to the light intensity distinction threshold to regenerate the light intensity determination threshold. When the difference between the real-time ambient sound baseline value and the ambient sound baseline value used in calculating the current noise intensity determination threshold exceeds the noise discrimination threshold, the real-time ambient sound baseline value is added to the noise discrimination threshold to regenerate the noise intensity determination threshold.

5. The instant intelligent alarm system capable of recognizing and responding to cardiac arrest events according to claim 4, characterized in that, The signal processing module is configured as follows: The received light intensity change spectrum data is filtered to remove baseline changes less than or equal to 0.1Hz, retaining flicker signals in the range of 1.4Hz-2.8Hz and 0.4Hz-0.8Hz, generating flicker frequencies, and transmitting the flicker frequencies to the alarm level identification module. The received noise intensity data is filtered to remove noise intensity data with frequencies less than or equal to 50Hz and greater than or equal to 2000Hz, retaining noise in the range of 150Hz-1000Hz, generating a pulse width for the noise in the range of 150Hz-1000Hz, and transmitting the pulse width to the alarm level identification module.

6. The instant intelligent alarm system capable of recognizing and responding to cardiac arrest events according to claim 5, characterized in that, The alarm level identification module is preset with a first flashing frequency threshold, a second flashing frequency threshold, a first pulse width range, and a second pulse width range. The alarm level identification module is configured as follows: When the flashing frequency is the first flashing frequency threshold or the pulse width is within the range of the first pulse width, the alarm event is determined to be a level one alarm event. When the flashing frequency is the second flashing frequency threshold or the pulse width is within the range of the second pulse width, the alarm event is determined to be a level two alarm event.

7. The instant intelligent alarm system capable of recognizing and responding to cardiac arrest events according to claim 6, characterized in that, The alarm module stores the alarm information, including: room number, bed number, and medical staff telephone information. The alarm module is configured as follows: When the alarm level identification module determines that the alarm event is a level one alarm event, it immediately calls the medical staff and informs them of their room number and bed number. When the alarm level identification module determines that the alarm event is a level 2 alarm event, it immediately sends a text message containing the room number and bed number to the medical staff by phone.

8. The instant intelligent alarm system capable of recognizing and responding to cardiac arrest events according to claim 7, characterized in that, The alarm module also stores information on medical staff on duty, as well as information on the patient's attending physician and responsible nurse; When an alarm event occurs during hospital working hours, the alarm module will first notify the patient's attending physician and the nurse in charge. When an alarm event occurs outside of hospital working hours, the alarm module will prioritize notifying the on-duty doctor and on-duty nurse.

9. The instant intelligent alarm system capable of recognizing and responding to cardiac arrest events according to claim 8, characterized in that, Also includes: The human-computer interaction module is used for human-computer exchange management and configuration, including entering or changing alarm information, medical staff on-duty information, and information on the patient's attending physician and responsible nurse, as well as viewing alarm records.

10. A method for intelligently identifying and instantly alarming sudden cardiac arrest events, characterized in that, An intelligent instant alarm system for recognizing cardiac arrest events, as described in any one of claims 1 to 9, comprises the following steps: S1. Real-time monitoring of the alarm indicator light of the monitor and the noise intensity information in the ward. When the light intensity of the alarm indicator light is greater than or equal to the light intensity judgment threshold, the alarm indicator light is determined to be flashing. At the same time, all flashing light intensity data within a preset time are recorded to generate light intensity change spectrum data. When the noise intensity information is greater than or equal to the noise intensity judgment threshold, the noise intensity information is recorded. S2. After filtering the light intensity change spectrum data and noise intensity data, the flashing frequency of the alarm indicator light and the pulse width of the alarm sound are generated. S3. Generate the alarm level of the alarm event based on the flashing frequency of the alarm indicator light and the pulse width of the alarm sound: When the flashing frequency is the first flashing frequency threshold or the pulse width is within the range of the first pulse width, the alarm event is determined to be a level one alarm event. When the flashing frequency is the second flashing frequency threshold or the pulse width is within the range of the second pulse width, the alarm event is determined to be a level two alarm event. S4. Execute the corresponding response operation according to the alarm level of the alarm event, and transmit the abnormal patient information to medical staff.

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