Abstract: Disclosed are compounds of Formula I, methods of using the compounds for inhibiting KRAS activity and pharmaceutical compositions comprising such compounds. The compounds are useful in treating, preventing or ameliorating diseases or disorders associated with KRAS activity such as cancer.

Abstract: Disclosed are a method for measuring the level of muscle relaxation, a device thereof and an apparatus for measuring muscle relaxation, and the method respectively obtains the sampled values of the acceleration and angular velocity of the measurement site via an acceleration sensor and an angular velocity sensor or a speed sensor and an angular velocity sensor, in order to calculate the degree of muscle relaxation according to the sampled values of the acceleration and angular velocity. As the calculated results combine the sampled values of the acceleration and angular velocity of the measurement site, the accuracy of the calculated results is higher. Moreover, the measurement combines an acceleration sensor and an angular velocity sensor or a speed sensor and an angular velocity sensor, so that the apparatus for measuring muscle relaxation can be placed in any position of the measurement site without influencing the accuracy of the measured results.

Abstract: A monitoring system, an atrial fibrillation comprehensive management method and a monitoring data display method are disclosed. The atrial fibrillation comprehensive management method includes acquiring monitoring data of at least two vital sign parameters of a patient, where the at least two vital sign parameters comprise an electrocardiogram parameter; acquiring information of an atrial fibrillation event occurring in the patient; and displaying an atrial fibrillation comprehensive view according to the acquired information of the atrial fibrillation event and the acquired monitoring data of the at least two vital sign parameters. The atrial fibrillation comprehensive view includes a trend graph of at least two vital sign parameters, an atrial fibrillation event trend graph and an atrial fibrillation load graph.

Abstract: This disclosure provides a monitoring apparatus and a statistical display method for physiological parameter(s) thereof. The method may include receiving statistical setting information including a time range, a time interval, a classification rule, and a target parameter, and the classification rule may define one or more types of the target parameter; obtaining N group of target parameter result corresponding to N time interval from a result of historical physiological parameter, where the N time interval is included in the time range, and the N group of target parameter result may be a physiological parameter result corresponding to the target parameter in the result of historical physiological parameter; counting the number of each type of the target parameter in the N group of target parameter result according to the classification rule, and obtaining N group of statistical result corresponding to the N time interval for each target parameter.

Abstract: Disclosed are a method for processing alarms of multiple devices and a central display device. An association between the multiple devices in terms of alarm causes is determined; and when there is an association between at least two different devices in terms of alarm causes, alarms generated by the at least two different devices is optimized. By means of a root cause analysis on alarms generated by devices, levels of alarms are lowered, and medical care personnel can more easily view and target higher-level alarm that requires more attention, so that trouble of the medical care personnel is reduced.

Abstract: A method for analyzing arrhythmia in real time and an electrocardiogram monitoring device is disclosed. The method for analyzing arrhythmia in real time includes: acquiring a QRS template set currently used for arrhythmia analysis; determining whether each QRS template in the QRS template set is reliable; displaying information of a QRS template when the QRS template set contains an unreliable QRS template; determining the QRS template set according to an operation performed by a user on the information of the QRS template; and acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by using a determined QRS template set, and outputting an arrhythmia analysis result of the real-time electrocardiogram data in real time. The method for analyzing arrhythmia in real time may achieve the correction of a template of a special waveform by means of editing a currently created QRS template.

Abstract: Disclosed are methods, apparatuses, and systems for performing physiological parameter signal fusion. By respectively analyzing a plurality of input physiological parameter signals, and obtaining a feature of each physiological parameter signal; according to the feature of each physiological parameter signal, obtaining and outputting a fusion state of the plurality of the physiological parameter signals; if the fusion state is a fusion of the at least two physiological parameter signals with the first physiological parameter signal is dominant, highlighting the first physiological parameter signal; and if the fusion state is a fusion of the at least two physiological parameter signals with the second physiological parameter signal is dominant, highlighting the second physiological parameter signal.

Abstract: One variation of a method for identifying homology of physiological signals comprises: receiving signal data of two different types of physiological signals; performing waveform matching on the signal data of the two different types of physiological signals to determine waveform matching information in the signal data of the two types of physiological signals; calculating an associative feature between the signal data of the two different types of physiological signals according to the waveform matching information; calculating a homology reference coefficient corresponding to the two different types of physiological signals according to the associative feature; and determining that the two different types of physiological signals are homologous when the homology reference coefficient is greater than a preset value.

Abstract: Disclosed are a monitoring apparatus and a method for operating same, a monitor and a computer storage medium. During the process of monitoring a monitored object, a monitoring signal of the monitored object is acquired in real time by a sensor accessory connected to the monitored object; monitoring parameter of the monitored object is obtained according to the monitoring signal, and the monitoring parameter is analyzed according to a first data analysis function. When the monitoring parameter satisfies a preset condition, a second data analysis function for at least one type of physiological parameter of the monitored object is turned on or off. Thus, a monitoring function for a physiological parameter of a monitored object can be turned on or off according to the current monitoring parameter of the monitored object, such that a monitored physiological parameter can be adaptively adjusted, thereby improving the monitoring quality.

Abstract: Provided are a monitoring device, a method for setting reference baseline and a readable storage medium. Whether the monitoring device has a system error is determined due to at least one event, according to at least one of the moving state of the target object, the connection state of the target object and the signal acquisition device, the environmental information where the target object is located, and the analysis result of the monitoring device. When the monitoring device has a system error, the current reference baseline of the monitoring device is updated according to the preset rules, and then the monitoring is continued based on the new reference baseline. In this way, the current reference baseline of the monitoring device can be adjusted in time, false alarms and missed alarms caused by the system error can be avoided and the accuracy of the monitoring device can be improved.

Abstract: Disclosed are a method for processing alarms of multiple devices and a central display device. An association between the multiple devices in terms of alarm causes is determined; and when there is an association between at least two different devices in terms of alarm causes, alarms generated by the at least two different devices is optimized. By means of a root cause analysis on alarms generated by devices, levels of alarms are lowered, and medical care personnel can more easily view and target higher-level alarm that requires more attention, so that trouble of the medical care personnel is reduced.

Abstract: Disclosed are a physiological parameter monitoring device and method. The monitoring device includes a front-end circuit, a processor, and an output component, where the front-end circuit is configured to acquire a physiological signal from a signal output by at least one sensor for sensing a physiological signal of an organism; and the processor receives at least one physiological signal output by the front-end circuit, determines whether there is a first physiological signal with a detection anomaly in the physiological signal, and when a detection anomaly occurs in the first physiological signal, determines an effective second physiological signal homologous to the first physiological signal, and obtains at least part of an analysis result corresponding to the first physiological signal based on the second physiological signal.

Abstract: Embodiments of the disclosure provide a monitoring method and device. The method includes: obtaining a physiological signal; performing waveform detection on the physiological signal to determine a target waveform position sequence; performing waveform classification on a physiological signal segment corresponding to the target waveform position sequence, to determine a waveform type of each physiological signal segment; performing anomaly detection on classified physiological signal segments by using at least two preset anomaly detection methods, and generating a target alarm event sequence according to detection results of the at least two anomaly detection methods; and outputting the target alarm event sequence. The method of the embodiments of the disclosure can not only make full use of information about an original physiological signal, but can also take advantage of at least two anomaly detection methods, thereby reducing false alarms and missed alarms and improving alarm accuracy.

Abstract: An alarm threshold setting suggestion method, a system and a monitor are provided in the disclosure. The method includes: obtaining monitoring data of a patient, determining whether the current alarm threshold associated with a monitoring parameter needs to be adjusted or not according to the monitoring data, and if yes, generating threshold setting suggestion information according to the monitoring data and the current alarm threshold associated with the monitoring parameter; and outputting the threshold setting suggestion information. In this way, not only is the user prompted to adjust the alarm threshold, but also the threshold setting suggestion information is provided for user reference, which are beneficial to relieving the problem of alarm fatigue.

Abstract: A method and device for monitoring a vital sign of a user, the method including: acquiring a sensor signal related to a vital sign; sampling the sensor signal to obtain data related to the vital sign; and in response to a key event, adjusting the method for collecting and processing the sensor signal.

Abstract: A method for analyzing arrhythmia in real time and an electrocardiogram monitoring device is disclosed. The method for analyzing arrhythmia in real time includes: acquiring a QRS template set currently used for arrhythmia analysis; determining whether each QRS template in the QRS template set is reliable; displaying information of a QRS template when the QRS template set contains an unreliable QRS template; determining the QRS template set according to an operation performed by a user on the information of the QRS template; and acquiring real-time electrocardiogram data, performing arrhythmia analysis on the real-time electrocardiogram data by using a determined QRS template set, and outputting an arrhythmia analysis result of the real-time electrocardiogram data in real time. The method for analyzing arrhythmia in real time may achieve the correction of a template of a special waveform by means of editing a currently created QRS template.

Abstract: This disclosure provides a monitoring apparatus and a statistical display method for physiological parameter(s) thereof.

Abstract: Disclosed are a method for measuring the level of muscle relaxation, a device thereof and an apparatus for measuring muscle relaxation, and the method respectively obtains the sampled values of the acceleration and angular velocity of the measurement site via an acceleration sensor and an angular velocity sensor or a speed sensor and an angular velocity sensor, in order to calculate the degree of muscle relaxation according to the sampled values of the acceleration and angular velocity. As the calculated results combine the sampled values of the acceleration and angular velocity of the measurement site, the accuracy of the calculated results is higher. Moreover, the measurement combines an acceleration sensor and an angular velocity sensor or a speed sensor and an angular velocity sensor, so that the apparatus for measuring muscle relaxation can be placed in any position of the measurement site without influencing the accuracy of the measured results.

Abstract: Disclosed are a method for measuring the level of muscle relaxation, a device thereof and an apparatus for measuring muscle relaxation, and the method respectively obtains the sampled values of the acceleration and angular velocity of the measurement site via an acceleration sensor and an angular velocity sensor or a speed sensor and an angular velocity sensor, in order to calculate the degree of muscle relaxation according to the sampled values of the acceleration and angular velocity. As the calculated results combine the sampled values of the acceleration and angular velocity of the measurement site, the accuracy of the calculated results is higher. Moreover, the measurement combines an acceleration sensor and an angular velocity sensor or a speed sensor and an angular velocity sensor, so that the apparatus for measuring muscle relaxation can be placed in any position of the measurement site without influencing the accuracy of the measured results.

Abstract: One variation of a method for identifying homology of physiological signals comprises: receiving signal data of two different types of physiological signals; performing waveform matching on the signal data of the two different types of physiological signals to determine waveform matching information in the signal data of the two types of physiological signals; calculating an associative feature between the signal data of the two different types of physiological signals according to the waveform matching information; calculating a homology reference coefficient corresponding to the two different types of physiological signals according to the associative feature; and determining that the two different types of physiological signals are homologous when the homology reference coefficient is greater than a preset value.