Alarm control procedure and device for patient monitor and adaptive alarm procedure for a patient monitor

Abstract

Alarm control procedures for a patient monitor, comprehensive: Acquiring (S11) false alarm probabilities of several current alarms, wherein acquiring (S11) false alarm probabilities includes determining a ratio of false alarm times to alarm times of each current alarm in historical alarm data in order to obtain a false alarm probability of each current alarm; Acquiring (S15) a corresponding alarm credibility according to the false alarm probability of each current alarm; Determine (S19) the priority of the current alarm at least depending on the alarm credibility of the current alarm; Determine (S21) a display ranking of the current alarm according to the priority of the current alarm; and Display (S23) of the current alarm in the determined display ranking; the alarm control procedure further includes: Accumulating (S32) the current alarm into the alarm markers in the historical alarm data and accumulating a current false alarm into the false alarm markers in the historical alarm data if the current alarm is a false alarm, in order to obtain updated historical alarm data; and For current alarm markers, calculate (S33) a ratio of false alarm markers to alarm markers in the updated historical alarm data to update the false alarm probability of the current alarm.

Description

AREA

[0001] The present invention relates to the field of medical monitoring and specifically to a method and a device for alarm control for a patient monitor and an adaptive alarming method for a patient monitor. BACKGROUND

[0002] It is generally known that a patient monitor can record various physiological parameters of a patient and send out a corresponding alarm if a measured parameter is abnormal, thus enabling real-time monitoring of the patient and emergency treatment by medical personnel. However, the patient monitor may also issue a false alarm. The presence of a false alarm can lead medical personnel to make an incorrect assessment of the patient's monitoring, potentially endangering the patient.

[0003] The patient monitor typically displays alarm information within a fixed display area, depending on the alarm level. For example, if an alarm level is "high," it is displayed with high priority. If a high-alarm message is displayed with high priority within the limited display area, when in reality it is a false alarm, a response by medical staff can waste clinical resources and may cause a genuine emergency alarm to go unnoticed. Furthermore, repeatedly displaying a false alarm can, in the long run, desensitize medical staff to alarms, potentially leading to patients not receiving timely treatment. Patent application US 2012 / 0 232 416 A1 describes a system and method for patient monitoring with multiple sensors for determining physiological parameters, wherein the data from these sensors are correlated to decide whether or not to issue an alarm. Application US 2007 / 0 213 599 A1 describes systems and methods for event detection that enable the rapid and accurate determination of alarm-triggering parameters. Publication US 2013 / 0 237 775 A1 deals with body-worn sensor networks with redundant parameter prioritization and temporal alignment. Patent application US 2010 / 0 016 691 A1 describes systems and methods for processing physiological measurements and generating alarms based on these measurements, wherein multiple features of a single physiological measurement are continuously monitored to generate alarms.Document US 2011 / 0 307 743 A1 describes a method for reducing false alarms in a monitoring system using an anomaly detection technique. Document US 2011 / 0 291 837 A1 describes a method for managing alarms in a physiological parameter monitoring device, wherein an alarm is triggered based on a time-averaged value of the measured physiological parameters and an alarm threshold. SHORT DESCRIPTION

[0004] One object of the present invention is to provide a method and device for alarm control for a patient monitor and an adaptive alarming method for the patient monitor in order to improve the accuracy of an alarm priority, reduce waste of clinical resources caused by a false alarm, and reduce the danger to a patient posed by the false alarm.

[0005] The present invention relates to a method with the features of claim 1, a method with the features of claim 6, and a device with the features of claim 8. One embodiment of the present invention provides an alarm control method for a patient monitor, comprising: acquiring false alarm probabilities of several current alarms; acquiring a corresponding alarm credibility according to a false alarm probability of each current alarm; and determining a priority of the current alarm at least depending on the alarm credibility of the current alarm.

[0006] The alarm control procedure may also have, for example, one or more of the following features:

[0007] The alarm control procedure further includes: determining a display ranking of the current alarm according to the priority of the current alarm; and displaying the current alarm in a determined display ranking.

[0008] Additionally or alternatively, the alarm control procedure may also include: displaying the alarm credibility of the current alarm.

[0009] Additionally or alternatively, the multiple current alarms in the alarm control procedure may have multiple alarm levels, and for a current alarm with the same alarm level, the priority of the current alarm may increase with its alarm credibility.

[0010] Additionally, the “acquiring false alarm probabilities of multiple current alarms” in the alarm control procedure further includes the step of determining a ratio of false alarm times to alarm times of each current alarm in historical alarm data in order to obtain a false alarm probability of each current alarm.

[0011] Additionally, the alarm control procedure further includes: accumulating the current alarm into the alarm markers in the historical alarm data and accumulating a current false alarm into the false alarm markers in the historical alarm data if the current alarm is a false alarm, in order to obtain updated historical alarm data; and for current alarm markers, calculating a ratio of false alarm markers to alarm markers in the updated historical alarm data to update the false alarm probability of the current alarm.

[0012] Additionally or alternatively, the “acquiring false alarm probabilities of multiple current alarms” in the alarm control procedure can include: determining a false alarm probability of one or more initial alarms according to a mapping relationship between an alarm occurrence rule and the initial alarms and a specific false alarm probability of the initial alarms in the historical alarm data.

[0013] Additionally or alternatively, the alarm occurrence rule in the alarm control procedure may include the following: at least two second alarms occur within a specific time interval, with the second alarms and the first alarms having the same or different designations.

[0014] Additionally or alternatively, the alarm control procedure may further include: accumulating a first alarm, mapped by the alarm occurrence rule, into the historical alarm data, and accumulating a first false alarm into the historical alarm data if the first alarm is the first false alarm, in order to obtain updated historical alarm data; calculating a ratio of times a first false alarm occurring according to the alarm occurrence rule to times a first alarm occurring according to the alarm occurrence rule in the updated historical alarm data, in order to update a false alarm probability of the first alarm.

[0015] Furthermore, an embodiment of the present invention provides an adaptive alarming method for a patient monitor, comprising: accumulating current alarm markers and false alarm markers of a current alarm to historical alarm markers or historical false alarm markers in historical alarm data in order to obtain updated historical alarm data; acquiring a false alarm probability of the current alarm in the updated historical alarm data according to a ratio between the historical false alarm markers and the historical alarm markers of the current alarm; acquiring an alarm credibility of the current alarm according to the false alarm probability of the current alarm in order to determine a priority of the current alarm at least depending on the alarm credibility of the current alarm if the current alarm described above occurs again.

[0016] In the adaptive alarm procedure for a patient monitor, "acquiring a false alarm probability of the current alarm in the updated historical alarm data according to a ratio of historical false alarm counts to the historical alarm counts of the current alarm" can include: if the current alarm meets a specific alarm occurrence rule, acquiring the historical alarm counts and the historical false alarm counts of the current alarm that meets the specific alarm occurrence rule in the updated historical alarm data; and calculating a ratio of historical false alarm counts to the historical alarm counts of the current alarm that meets the specific alarm occurrence rule in order to acquire the false alarm probability of the current alarm that meets the specific alarm occurrence rule.

[0017] An embodiment of the present invention further provides an alarm control device for a patient monitor, comprising: a false alarm probability acquisition module, an alarm credibility acquisition module, and a priority determination module, wherein the false alarm probability acquisition module is used to acquire false alarm probabilities of several current alarms; the alarm credibility acquisition module is used to acquire a corresponding alarm credibility according to a false alarm probability of each current alarm; and the priority determination module is used to determine a priority of the current alarm at least depending on the alarm credibility of the current alarm.

[0018] The alarm control device may also have, for example, one or more of the following features:

[0019] The alarm control device further includes: a display ranking determination module for determining a display ranking of the current alarm according to the priority of the current alarm; and a display module for displaying the current alarm in a determined display ranking. The display module can also be used to indicate the alarm credibility of the current alarm.

[0020] Additionally or alternatively, the multiple current alarms in the alarm control device may have multiple alarm levels, and for an alarm with the same alarm level, the priority of the alarm may increase with its alarm credibility.

[0021] Additionally or alternatively, the false alarm probability acquisition module in the alarm control device for a patient monitor can be used to determine a ratio of false alarms to alarms of each current alarm in historical alarm data in order to obtain a false alarm probability of each current alarm.

[0022] Additionally, the alarm control device further includes: a first historical data update module for accumulating the current alarm into the alarm markers in the historical alarm data and for accumulating a current false alarm into the false alarm markers in the historical alarm data if the current alarm is a false alarm, in order to obtain updated historical alarm data; and a first false alarm probability update module for calculating a ratio of false alarm markers to alarm markers in the updated historical alarm data for current alarm markers, in order to update the false alarm probability of the current alarm.

[0023] Additionally or alternatively, the false alarm probability acquisition module in the alarm control device can be used to: determine a false alarm probability of one or more first alarms according to a mapping relationship between an alarm occurrence rule and the first alarms and according to the false alarm probability of the first alarms in historical alarm data.

[0024] Additionally or alternatively, the alarm occurrence rule in the alarm control device may include the following: at least two second alarms occur within a specific time interval, with the second alarms and the first alarm having the same or different designations.

[0025] Additionally or alternatively, the alarm control device may further include: a second historical data update module for accumulating a first alarm, mapped by the alarm occurrence rule, into the historical alarm data, and for accumulating a first false alarm into the historical alarm data if the first alarm is the first false alarm, in order to obtain updated historical alarm data; and a second false alarm probability update module for calculating a ratio of times a first false alarm occurring according to the alarm occurrence rule to times a first alarm occurring according to the alarm occurrence rule in the updated historical alarm data, in order to update a false alarm probability of the first alarm.

[0026] Additionally or alternatively, the alarm control device can be provided in a patient monitor or in a workstation connected to the patient monitor; if the alarm control device for a patient monitor is provided in the workstation, the false alarm probability acquisition module can be used to acquire the false alarm probabilities of the multiple current alarms from multiple patient monitors.

[0027] Other features and aspects will become apparent through the following detailed description, figures, and claims. List of characters

[0028] The present invention will become more understandable after reading the description of exemplary embodiments of the present invention with reference to the accompanying drawings, in which: Fig. 1 in a flowchart shows an alarm control procedure for a patient monitor created by an embodiment of the present invention; Fig. 2 in a flowchart shows an alarm control procedure for a patient monitor created by a further embodiment of the present invention; Fig. 3 in a flowchart shows an alarm control procedure for a patient monitor created by a further embodiment of the present invention; Fig. 4 in a flowchart shows an alarm control procedure for a patient monitor created by a further embodiment of the present invention; Fig. 5 in a flowchart shows an adaptive alarm procedure for a patient monitor created by an embodiment of the present invention; Fig. Figure 6 shows a flowchart illustrating an alarm control device for a patient monitor created by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following is a detailed description of preferred embodiments of the present description. It should be noted that, for the sake of simplicity and brevity, it is not possible to explain all the features of the practical embodiments in detail. It is understood that, in the practical implementation of each embodiment, as in the process of a development or design project, a number of different decisions are usually made to achieve a specific goal of the developers and to satisfy certain system-related or economic constraints. These decisions are also modified from one embodiment to another.Furthermore, it is understandable that, although the efforts undertaken in such a development process may be complicated and time-consuming, some modifications, such as design, manufacture and production, based on the technical content disclosed in the description, are merely conventional technical means from the prior art for the person skilled in the field in connection with the content disclosed in the present description, which should not be considered an insufficient disclosure of the present description.

[0030] Unless otherwise defined, all technical or scientific terms used in the claims and description shall have the same meanings as they would normally be understood by a person skilled in the art in the prior art to which the present description belongs. The terms "first," "second," and the like in the description and claims of this patent application for the invention do not define any ranking, number, or importance, but merely serve to distinguish between different components. The indefinite article "one," "an," and the like do not denote any limitation of quantity, but mean that at least one is present.The terms "includes," "comprising," "contains," "containing," and the like mean that the element or object preceding "includes," "comprising," "contains," and "containing" covers the elements or objects and their equivalents illustrated after "includes," "comprising," "contains," and "containing," but do not exclude any other elements or objects. The terms "coupled" or "connected," or the like, are neither limited to a physical or mechanical connection, nor to a direct or indirect connection.

[0031] Fig. Figure 1 shows an alarm control method for a patient monitor, which is provided by an embodiment of the present invention. In one embodiment, the method for determining the priority of a patient monitor alarm can be used in order to display a high-reliability alarm in an alarm display area of ​​the patient monitor. Fig. Figure 2 merely shows an example of an alarm display area of ​​a patient monitor created by an embodiment of the present invention.

[0032] Fig. Figure 1 shows a flowchart of an alarm control procedure for a patient monitor created by an embodiment of the present invention. As shown in Fig. As shown in Figure 1, the alarm control method for a patient monitor created by the embodiment of the present invention comprises the following steps S11, S15 and S19.

[0033] In step S11, false alarm probabilities for multiple current alarms are acquired. The "multiple current alarms" described above can include several physiological states that are obtained for a patient through physiological monitoring by the patient monitor and may include, for example, tachycardia (tachycardia), bradycardia (bradycardia), ventricular fibrillation (V-fib), asystole, high SpO2, low SpO2, low respiratory rate (RESP), and the like. The "false alarm" described above can be understood as an erroneous alarm for one or more physiological states.

[0034] In step S11, by determining the ratio of false alarms to alarms of each current alarm in historical alarm data, a false alarm probability of each current alarm can be obtained.

[0035] For example, each time an alarm occurs, it is accumulated in the historical alarm data. If the alarm is determined to be a false alarm, its false alarm value is accumulated, thus continuously updating the historical alarm data. Subsequently, in step S11, when a false alarm probability for each alarm needs to be acquired, a corresponding false alarm probability can be obtained by acquiring a ratio of the accumulated value of the false alarm to the corresponding accumulated value of the alarm. Using a tachymeter alarm as an example, and assuming that the number of alarms for tachymeter in the historical alarm data is N, and the number of false alarms for tachymeter is M, then the false alarm probability for the tachymeter alarm in the historical alarm data is M / N.

[0036] In step S15, a corresponding alarm credibility is acquired based on the false alarm probability of each current alarm. In step S19, a priority for the current alarm is determined, at least depending on the alarm credibility of the current alarm.

[0037] If current alarms for the patient monitor include, for example, brady, V-fib, low SpO2, and low RESP, and the historical alarm data shows a false alarm probability of 20% for brady, 60% for V-fib, 45% for low SpO2, and 80% for low RESP, alarm credibility for the alarms described above can be ordered in descending order as follows: brady alarm (false alarm rate of 20%), low SpO2 alarm (false alarm rate of 45%), V-fib alarm (false alarm rate of 60%), and low RESP alarm (false alarm rate of 80%). Then, in step S19, a priority can be determined for each current alarm in the ranking given above. This means that the higher the credibility of the alarm, the higher the priority.

[0038] The term "at least" in the expression described above, "a priority of the current alarm is determined at least depending on the alarm credibility of the current alarm," can be understood as follows: a priority of the current alarm can also be determined simultaneously depending on other information. This other information can, for example, be an alarm level (the alarm level already determined according to the prior art) of each alarm itself. In one embodiment, the priority of the alarm level for the alarm itself can remain unchanged, while its priority for alarm credibility is adjusted using the same alarm level.

[0039] For example, the "multiple current alarms" described above can have multiple alarm levels. With regard to the current alarm with the same alarm level, the priority of the current alarm increases with its alarm credibility.

[0040] For example, an asystole alarm and a low RESP alarm can be set to the same level (e.g., a higher level), while the Brady alarm and the V-Fib alarm can be set to different levels (e.g., a lower level). If the false alarm rate of the asystole alarm is higher than that of the low RESP alarm, the asystole alarm will have a lower alarm credibility than the low RESP alarm when the current alarm is displayed. When the current alarm is displayed, the low RESP alarm will be shown with high priority. However, if the alarm credibility for Brady is higher than the alarm credibility for Asystole, the Asystole alarm will still be displayed with high priority according to the alarm levels of the alarms themselves.

[0041] Certainly, in other embodiments, if the data of the acquired alarm credibility are sufficiently accurate, it is also possible to first determine the priority of the alarm according to the alarm credibility and then determine the priority of the alarm according to the alarm levels of the alarms themselves.

[0042] The "historical alarm data" described above can be stored on the patient monitor, on a workstation, or on a back-end server connected to the patient monitor for data exchange. If the "historical alarm data" is stored on the workstation or back-end server, this means that the workstation or back-end server can receive alarm information from multiple patient monitors (for example, from all patient monitors connected to the workstation or back-end server) and analyze the alarm information. This allows alarm credibility and priority to be determined based on large datasets.For example, if patient monitors of the same model or product batch are connected to the workstation or back-end server, alarm credibility and priority of current alarms from the patient monitors can be acquired from the workstation or back-end server.

[0043] Fig. Figure 2 shows a flowchart of an alarm control procedure for a patient monitor, which is provided by a further embodiment of the present invention. The embodiment is similar to the embodiment as described in Fig. 1 is shown, and the difference between the embodiments is based on the fact that, after step S19, steps S21 and S23 may also be included.

[0044] In step S21, a display ranking of the current alarm is determined based on its priority. Once the display ranking is determined in step S21, the current alarm can be displayed in this ranking in step S23. For example, the display ranking for the ranking described above might be as follows: the Brady alarm, the Low SpO2 alarm, the V-Fib alarm, and the Low RESP alarm. If only three alarms can be displayed in the alarm display area of ​​the patient monitor, the Brady alarm (with a false alarm rate of 20%), the Low SpO2 alarm (with a false alarm rate of 45%), and the V-Fib alarm (with a false alarm rate of 60%) will be displayed in the ranking, while the Low RESP alarm, with the lowest priority (lowest credibility), will not be displayed.

[0045] Optionally, step S25 may also be included after step S19: Displaying the alarm credibility of the current alarm.

[0046] In one embodiment, the corresponding false alarm rate can be displayed simultaneously in the alarm display area of ​​the patient monitor while the current alarm is being shown, in order to reflect the alarm credibility. That is, the higher the false alarm rate, the lower the alarm credibility. In another embodiment, alarm credibility can be classified into several levels. For example, the credibility for a false alarm rate of 0-25% is at a four-star level; and the credibility for false alarm rates of 25%-50%, 50%-75%, and 75%-100% is at a three-star level, a two-star level, and a one-star level, respectively. While the current alarm is being displayed, the corresponding alarm credibility level can be shown simultaneously in the alarm display area of ​​the patient monitor.For the Brady alarm described above, for example, the corresponding alarm credibility levels for Low SpO2, Low V-Fib and Low RESP alarms can be displayed, as shown in Table 1 below. Table 1 Brady SpO2-niedrig V-Fib ATEMRATE-niedrig ★★★★ ★★★☆ ★☆☆☆

[0047] Fig. Figure 3 shows a flowchart of an alarm control procedure for a patient monitor, which is provided by a further embodiment of the present invention. As in Fig. As shown in Figure 3, the embodiment resembles the alarm control procedure for a patient monitor as described in Fig. 1 or Fig. 2 is shown, and the difference between the embodiments is based on the fact that in the Fig. In the embodiment shown in step 3, the following steps S32 and S33 may be included after step S11.

[0048] In step S32, the current alarm is accumulated into the alarm markers in the historical alarm data, and a current false alarm, if the current alarm is also a false alarm, is accumulated into the false alarm markers in the historical alarm data to obtain updated historical alarm data. For illustration, let's take the alarm for Tachy as an example and assume that in the historical alarm data for Tachy, the alarm markers are equal to N, and the false alarm markers for Tachy are equal to M. Then, if the current alarm includes Tachy and the alarm for Tachy is determined to be a false alarm, the alarm markers for Tachy are updated to N+1, and the false alarm markers for Tachy are updated to M+1. If the current alarm includes Tachy and the alarm for Tachy is not a false alarm, the alarm markers for Tachy are updated to N+1, but the false alarm markers for Tachy that are still equal to M remain unchanged.In this way, an update of the historical alarm data is carried out for the alarm in the case of Tachy.

[0049] In step S33, for current alarms, the ratio of false alarms to alarms in the updated historical alarm data is calculated to update the false alarm probability of the current alarm. Let the above alarm for Tachy be used as an example for illustration, and assume that in the historical alarm data the alarms for Tachy are N and the false alarms for Tachy are M. Then the false alarm probability of the alarm for Tachy in the historical alarm data is "M / N". If the current alarm includes Tachy and is a false alarm, the false alarm probability of the alarm for Tachy is updated by acquiring a ratio of updated false alarms for Tachy "M+1" to updated alarms for Tachy "N+1", resulting in a false alarm ratio of the alarm for Tachy "(M+1) / (N+1)".

[0050] Fig. Figure 4 shows a flowchart illustrating an alarm control procedure for a patient monitor, which is provided by a further embodiment of the present invention. The embodiment is similar to any of the ones described in Fig. The embodiments shown in Figures 1-3 differ in that the "acquiring false alarm probabilities of multiple current alarms" in step S11 further comprises: determining a false alarm probability of one or more initial alarms according to a mapping relationship between an alarm occurrence rule and the initial alarms, and a specific false alarm probability of the initial alarms in the historical alarm data. The initial alarms mentioned above can be one or more of the "multiple current alarms" described above, e.g., the alarm for the tachymeter. The number of alarms that occur according to the "alarm occurrence rule" mentioned above can be one or higher, and may or may not include the initial alarms mentioned above.

[0051] The "alarm occurrence rule" described above can include the following: at least two second alarms occur within a specific time interval (for example, two seconds). The second alarms and the first alarms have the same or different names. For example, the second alarms could be Tachy, Brady, and Low SpO2.

[0052] Optionally, the following steps S41 and S42 may be included after step S11.

[0053] In step S41, a first alarm, mapped by the alarm occurrence rule, is accumulated into the historical alarm data, and if the first alarm is a first false alarm, the first false alarm is accumulated into the historical alarm data to obtain updated historical alarm data.

[0054] In step S42, a ratio of times a first false alarm occurs according to the alarm occurrence rule to times a first alarm occurs according to the alarm occurrence rule in the updated historical alarm data is calculated to update a first alarm false alarm probability.

[0055] For example, if the second alarms for tachycardia, bradycardia, and low SpO2 occur within two seconds on the patient monitor, a false alarm probability of 90% for the first low SpO2 alarm can be immediately acquired from the historical alarm data according to a mapping relationship between the rule (the second alarms for tachycardia, bradycardia, and low SpO2 occur within two seconds) and the low SpO2 alarm (as the first alarm at that time) and its false alarm probability (e.g., 90%).

[0056] At this point, it is assumed that in the historical alarm data, the alarm markers of the first alarm for low SpO2, mapped by the rule, are equal to N, and its false alarm markers are equal to M (i.e., M / N = 90%).If the current first low SpO2 alarm is a false alarm, in step 41 the alarm markers of the first low SpO2 alarm, as mapped by the rule, can be updated to N+1, and its false alarm markers can be updated to M+1, and in step S42 the false alarm rate of the first low SpO2 alarm, as mapped by the rule, can be updated to (M+1) / (N+1); if the current first low SpO2 alarm is not a false alarm, in step 41 the alarm markers of the first low SpO2 alarm, as mapped by the rule, are updated to N+1, and its false alarm markers, which are still M, remain unchanged, and the false alarm rate of the first low SpO2 alarm, as mapped by the rule, is updated to M / (N+1) in step S42.

[0057] By updating the historical alarm data and the false alarm rate of the current alarm, its alarm credibility can easily be determined the next time the current alarm occurs, in order to determine its alarm priority.

[0058] In accordance with the above description, an embodiment of the present invention can further provide an adaptive alarm method for a patient monitor. Fig. Figure 5 shows a flowchart of the process. As in Fig. As shown in section 5, the adaptive alarm procedure for a patient monitor comprises steps S51, S53 and S55.

[0059] In step S51, current alarm markers and false alarm markers of a current alarm are accumulated in historical alarm data to become historical alarm markers or historical false alarm markers, respectively, in order to obtain updated historical alarm data.

[0060] In step S53, a false alarm probability of a current alarm is acquired in the updated historical alarm data according to a ratio of the historical false alarm counts to the historical alarm counts of the current alarm.

[0061] In step S55, an alarm credibility of the current alarm is acquired according to the false alarm probability of the current alarm in order to determine a priority of the current alarm at least depending on the alarm credibility of the current alarm if the current alarm occurs again.

[0062] The data update (which includes the historical alarm markers, the historical false alarm markers, and the false alarm probability) for the "current alarm" mentioned in the present embodiment can be an update performed for the alarm that is merely considered as an independent single case, or it can also be an update performed for the alarm that is represented by a specific alarm occurrence rule (suffices), which will be explained in detail with reference to the Fig. 3 and Fig. The embodiments shown in the 4 examples have been described.

[0063] Based on this, the adaptive alarm procedure for a patient monitor in the present embodiment can further comprise the following steps in step 53: if the current alarm satisfies the special alarm occurrence rule, acquiring the historical alarm markers and the historical false alarm markers of the current alarm, which satisfies the special alarm occurrence rule, in the updated historical alarm data; and calculating a ratio of the historical false alarm markers to the historical alarm markers of the current alarm, which satisfies the special alarm occurrence rule, in order to acquire the false alarm probability of the current alarm, which satisfies the special alarm occurrence rule.

[0064] Fig. Figure 6 shows a block diagram of an alarm control device for a patient monitor, created by an embodiment of the present invention. The alarm control device can be provided in a patient monitor, in a workstation, or in a back-end server connected to the patient monitor.

[0065] The alarm control device can be used to perform the alarm control procedure in the embodiments described above. As shown in Fig. As shown in Figure 6, the alarm control device can include a false alarm probability acquisition module 61, an alarm credibility acquisition module 65 and a priority determination module 69.

[0066] The false alarm probability acquisition module 61 is used to acquire false alarm probabilities for multiple current alarms. The alarm credibility acquisition module 65 is used to acquire a corresponding alarm credibility based on a false alarm probability for each current alarm. The priority determination module 69 is used to determine the priority of the current alarm, at least depending on the alarm credibility of the current alarm.

[0067] Optionally, the alarm control device can also include a display ranking module and a display module. The display ranking module is used to determine a display ranking of the current alarm according to its priority. The display module is used to display the current alarm in a determined display ranking.

[0068] Optionally, the display module described above can also be used to display the alarm credibility of the current alarm.

[0069] Optionally, the multiple current alarms mentioned above can have multiple alarm levels. For alarms with the same alarm level, the priority of the alarm increases with its alarm credibility.

[0070] Optionally, the false alarm probability acquisition module described above is used to determine a ratio of false alarms to alarms of each current alarm in historical alarm data in order to obtain a false alarm probability of each current alarm.

[0071] Optionally, the alarm control device for a patient monitor in the embodiment of the present invention further comprises a first historical data update module and a first false alarm probability update module.

[0072] The first historical data update module is used, if the current alarm is a false alarm, to accumulate the current alarm into the alarm markers in the historical alarm data and to accumulate a current false alarm into the false alarm markers in the historical alarm data in order to obtain updated historical alarm data.

[0073] The first false alarm probability update module is used to calculate a ratio of false alarm times to alarm times in the updated historical alarm data for current alarm times in order to update the false alarm probability of the current alarm.

[0074] Optionally, the false alarm probability acquisition module described above can also be used to determine a false alarm probability of one or more first alarms according to a mapping relationship between an alarm occurrence rule and the first alarms and a false alarm probability of the first alarms in the historical alarm data.

[0075] Optionally, the alarm occurrence rule described above can include the following: at least two second alarms occur within a specific time interval.

[0076] The second alarms and the first alarms have the same or different designations.

[0077] Optionally, the alarm control device for a patient monitor in the embodiment of the present invention may further include a second historical data update module and a second false alarm probability update module.

[0078] The second historical data update module is used, if the first alarm is a false alarm, to accumulate a first alarm, mapped by the alarm occurrence rule, into the historical alarm data, and to accumulate a first false alarm into the historical alarm data in order to obtain the updated historical alarm data.

[0079] The second false alarm probability update module is used to calculate a ratio of times a first false alarm occurs according to the alarm occurrence rule to times a first alarm occurs according to the alarm occurrence rule in the updated historical alarm data, in order to update a false alarm probability of the first alarm.

[0080] If the alarm control device for a patient monitor in the embodiment of the present invention is provided in the workstation or in the back-end server, the false alarm probability acquisition module 61 described above is used to acquire false alarm probabilities of the multiple current alarms from multiple patient monitors.

[0081] When a current alarm occurs in a patient monitor, alarm credibility and priority of the current alarm can be acquired from the workstation or back-end server, and a display ranking of the current alarm is acquired from the workstation or back-end server to be displayed.

[0082] The embodiments of the present invention provide an alarm control method, an alarm control device, and an adaptive alarming method for a patient monitor, which can determine the alarm credibility of a current alarm by acquiring its false alarm probability and can determine an alarm priority depending on the alarm credibility. Furthermore, a continuous update of the false alarm probability of the alarm can be performed to continuously improve the accuracy of the false alarm probability, alarm credibility, and alarm priority.As described above, for example, genuine alarms are displayed as often as possible, while false alarms are removed within a limited alarm display range, and a number of disadvantages (such as a waste of clinical resources, desensitization of a medical team to the alarm, and potential dangers to a patient) associated with determining alarm priority solely based on alarm levels, according to the state of the art, have been eliminated.

[0083] Several exemplary embodiments have been described above. It should be understood, however, that numerous modifications can be made to these. For example, if the described techniques are carried out in a different sequence and / or if the components in the described system, architecture, device, or circuit are combined differently and / or replaced or supplemented by additional components or their equivalent functions, suitable results can still be achieved. Accordingly, other implementations also fall within the scope of protection of the patent claims.

[0084] The present invention provides an alarm control method, an alarm control device, and an adaptive alarm control method for a patient monitor. The alarm control method comprises: acquiring false alarm probabilities of several current alarms; acquiring a corresponding alarm credibility according to a false alarm probability of each current alarm; and determining a priority of the current alarm at least depending on the alarm credibility of the current alarm.

Claims

[1] Alarm control procedures for a patient monitor, including: Acquiring (S11) false alarm probabilities of several current alarms, wherein acquiring (S11) false alarm probabilities includes determining a ratio of false alarm times to alarm times of each current alarm in historical alarm data in order to obtain a false alarm probability of each current alarm; Acquiring (S15) a corresponding alarm credibility according to the false alarm probability of each current alarm; Determine (S19) the priority of the current alarm at least depending on the alarm credibility of the current alarm; Determine (S21) a display ranking of the current alarm according to the priority of the current alarm; and Display (S23) of the current alarm in the determined display ranking; the alarm control procedure further includes: Accumulating (S32) the current alarm into the alarm markers in the historical alarm data and accumulating a current false alarm into the false alarm markers in the historical alarm data if the current alarm is a false alarm, in order to obtain updated historical alarm data; and For current alarm markers, calculate (S33) a ratio of false alarm markers to alarm markers in the updated historical alarm data to update the false alarm probability of the current alarm. [2] Alarm control method for a patient monitor according to claim 1, wherein the multiple current alarms have multiple alarm levels, and for a current alarm with the same alarm level, a priority of the current alarm increases with its alarm credibility. [3] Alarm control method for a patient monitor according to at least one of the preceding claims, comprising the “acquiring (S11) false alarm probabilities of multiple current alarms”: Determining a false alarm probability of one or more first alarms according to a mapping relationship between an alarm occurrence rule and the first alarms and a specific false alarm probability of the first alarms in the historical alarm data. [4] Alarm control method for a patient monitor according to claim 3, wherein the alarm occurrence rule includes: At least two second alarms occur within a specific time interval, with the second alarms and the first alarms having the same or different designations. [5] Alarm control method for a patient monitor according to at least one of claims 3 and 4, further comprising: Accumulate (S41) a first alarm mapped by the alarm occurrence rule into the historical alarm data, and accumulate a first false alarm into the historical alarm data if the first alarm is the first false alarm, in order to obtain updated historical alarm data; Calculate (S42) a ratio of times a first false alarm occurs according to the alarm occurrence rule to times a first alarm occurs according to the alarm occurrence rule in the updated historical alarm data to update a first alarm false alarm probability. [6] Adaptive alarm procedure for a patient monitor, comprising: Accumulate (S51) current alarm markers and false alarm markers of a current alarm to historical alarm markers or to historical false alarm markers in historical alarm data to obtain updated historical alarm data; Acquire (S53) a false alarm probability of the current alarm in the updated historical alarm data according to a ratio of historical false alarms to historical alarms of the current alarm; Acquiring (S55) an alarm credibility of the current alarm according to the false alarm probability of the current alarm in order to determine a priority of the current alarm at least depending on the alarm credibility of the current alarm if the current alarm occurs again; Determine (S21) a display ranking of the current alarm according to the priority of the current alarm; and Display (S23) of the current alarm in the determined display ranking; the adaptive alerting procedure further includes: Accumulating (S32) the current alarm into the alarm markers in the historical alarm data and accumulating a current false alarm into the false alarm markers in the historical alarm data if the current alarm is a false alarm, in order to obtain updated historical alarm data; and For current alarm markers, calculate (S33) a ratio of false alarm markers to alarm markers in the updated historical alarm data to update the false alarm probability of the current alarm. [7] Adaptive alarm method for a patient monitor according to claim 6, wherein the “acquiring (S53) a false alarm probability of the current alarm in the updated historical alarm data according to a ratio of the historical false alarms to the historical alarms of the current alarm” comprises: If the current alarm meets a specific alarm occurrence rule, acquire the historical alarm markers and historical false alarm markers of the current alarm that meets the specific alarm occurrence rule in the updated historical alarm data; and Calculating a ratio of historical false alarm counts to the historical alarm counts of the current alarm that satisfies the special alarm occurrence rule in order to acquire the false alarm probability of the current alarm that satisfies the special alarm occurrence rule. [8] Alarm control device for a patient monitor, comprising: a false alarm probability acquisition module (61) for acquiring false alarm probabilities of multiple current alarms; an alarm credibility acquisition module (65) for acquiring a corresponding alarm credibility according to a false alarm probability of each current alarm; a priority determination module (69) for determining a priority of the current alarm at least depending on the alarm credibility of the current alarm; a display ranking determination module for determining a display ranking of the current alarm according to the priority of the current alarm; and a display module for showing the current alarm in the determined display ranking; the alarm control device further includes: a first historical data update module to accumulate the current alarm into the alarm markers in the historical alarm data and to accumulate a current false alarm into the false alarm markers in the historical alarm data if the current alarm is a false alarm, in order to obtain updated historical alarm data; and A first false alarm probability update module to calculate a ratio of false alarm times to alarm times in the updated historical alarm data for current alarm times, in order to update the false alarm probability of the current alarm.

Images