Abstract: A method for calculating physiological parameters includes: selecting a section of time domain signal corresponding to at least one signal of red light and infrared light obtained by sampling, and performing a conversion from time domain to frequency domain to obtain a corresponding frequency domain signal; selecting all rational frequency spectrum peak information, calculating energy information of selected reasonable frequency spectrum peaks, and forming a frequency spectrum peak energy ratio sequence; constructing a stability coefficient according to the frequency spectrum peak energy ratio sequence, and if the stability coefficient is low, constructing a compensation coefficient by using the frequency spectrum peak energy ratio sequence; and compensating for at least one of the time domain signal and the frequency domain signal by using the compensation coefficient, and calculating based on at least one of the compensated time domain signal and the frequency domain signal to obtain the physiological param

Abstract: An anesthesia stage identification method for identifying an anesthesia stage at which a patient is located is disclosed. The method includes collecting an electroencephalogram signal, calculating at least two characteristics of the collected electroencephalogram signal according to a preset frequency, and determining the anesthesia stage at which the patient is located in a corresponding time period according to the at least two calculated characteristics. The identification method can accurately determine the anesthesia stage, and resolve the problems of abnormal falling during a lucid interval and slow response speed during an induction stage caused by misjudgment.

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: An apparatus and method for removing high-frequency radio frequency interference are disclosed.

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: 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: 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: 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: 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: A method for calculating physiological parameters includes: selecting a section of time domain signal corresponding to at least one signal of red light and infrared light obtained by sampling, and performing a conversion from time domain to frequency domain to obtain a corresponding frequency domain signal; selecting all rational frequency spectrum peak information, calculating energy information of selected reasonable frequency spectrum peaks, and forming a frequency spectrum peak energy ratio sequence; constructing a stability coefficient according to the frequency spectrum peak energy ratio sequence, and if the stability coefficient is low, constructing a compensation coefficient by using the frequency spectrum peak energy ratio sequence; and compensating for at least one of the time domain signal and the frequency domain signal by using the compensation coefficient, and calculating based on at least one of the compensated time domain signal and the frequency domain signal to obtain the physiological param

Abstract: A method for calculating physiological parameters includes: selecting a section of time domain signal corresponding to at least one signal of red light and infrared light obtained by sampling, and performing a conversion from time domain to frequency domain to obtain a corresponding frequency domain signal; selecting all rational frequency spectrum peak information, calculating energy information of selected reasonable frequency spectrum peaks, and forming a frequency spectrum peak energy ratio sequence; constructing a stability coefficient according to the frequency spectrum peak energy ratio sequence, and if the stability coefficient is low, constructing a compensation coefficient by using the frequency spectrum peak energy ratio sequence; and compensating for at least one of the time domain signal and the frequency domain signal by using the compensation coefficient, and calculating based on at least one of the compensated time domain signal and the frequency domain signal to obtain the physiological param

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 pacing signal processing method, a system and an electrocardiogram (ECG) monitor, the method includes collecting at a high sampling rate the original ECG signal from a surface, obtaining the parameter and position information of a pacing signal according to the sampling points, and displaying the pacing signal morphology and/or parameter information of the pacing signal.

Abstract: A method and a monitoring device for optimizing physiological parameter using a motion sensor are provided.

Abstract: The present application provides a method for preparing nintedanib. The method of the present application is carried out by using 4-halo-3-nitro-benzoic acid methyl ester (compound II) and 3-oxo-3-phenylpropionate (compound III) as raw materials, and preparing nintedanib via intermediates of methyl 4-(1-alkoxy-1,3-dioxo-3-phenyl propan-2-yl)-3-nitrobenzoate (compound IV) and methyl 3-benzoyl-2-oxoindoline-6-formate (compound V). The method for preparing nintedanib (I) provided by the present application has the advantages of using easily obtained raw materials, having a simple process, being cost effective and environmentally friendly, and is suitable for industrial-scale production.

Abstract: An apparatus and method for removing high-frequency radio frequency interference are disclosed.

Abstract: A method for processing an anesthesia electroencephalogram signal is disclosed. The method includes acquiring an electroencephalogram signal by means of an electroencephalogram sensor; selecting a target anesthesia depth model from an anesthesia depth model database according to the type of a drug for anesthesia, each anesthesia depth model of the anesthesia depth model database being trained according to a specific drug type, a corresponding electroencephalogram signal, and a marked anesthesia depth; and obtaining an anesthesia depth value on the basis of the target anesthesia depth model and the electroencephalogram signal. In the processing method, according to the type of an anesthetic drug, an appropriate anesthesia depth model is selected, so that the depth of anesthesia can be obtained more accurately, and the adaptability to the type of the anesthetic drug is increased.

Abstract: An anesthesia stage identification method for identifying an anesthesia stage at which a patient is located is disclosed. The method includes collecting an electroencephalogram signal, calculating at least two characteristics of the collected electroencephalogram signal according to a preset frequency, and determining the anesthesia stage at which the patient is located in a corresponding time period according to the at least two calculated characteristics. The identification method can accurately determine the anesthesia stage, and resolve the problems of abnormal falling during a lucid interval and slow response speed during an induction stage caused by misjudgment.

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