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

Abstract: Medical devices, plug-ins, systems, and methods for CPR quality feedback are disclosed. The medical devices can calculate peripheral circulation relevant parameters based on measured signals containing at least partial hemodynamic characteristics. Amplitude and area characteristics included in the peripheral circulation relevant parameters can further be determined for providing feedback and control relating to CPR quality during the compression process. Also, compression interruption during CPR can be evaluated based on a pulse waveform generated from the measured signals.

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

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 relates to methods, devices and systems for real-time recognition of restoration of spontaneous circulation (ROSC) in cardio-pulmonary resuscitation (CPR) process. Recognition mechanisms in both time domain and frequency domain are provided for the ROSC recognition, where the time-domain recognition logic may detect the ROSC by recognizing envelope features of sampled signals in the time domain, and the frequency-domain recognition logic may detect the ROSC by recognizing spectral peaks at different frequency points continuously or significant variations of amplitude of spectral peaks in the frequency spectrum.

Abstract: Medical devices, plug-ins, systems, and methods for CPR quality feedback are disclosed. The medical devices can calculate peripheral circulation relevant parameters based on measured signals containing at least partial hemodynamic characteristics. Amplitude and area characteristics included in the peripheral circulation relevant parameters can further be determined for providing feedback and control relating to CPR quality during the compression process. Also, compression interruption during CPR can be evaluated based on a pulse waveform generated from the measured signals.

Abstract: A biosensor includes: a flexible base, a first sensor includes a first sensor main body; and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

Abstract: A biosensor includes: a flexible base, a first sensor includes a first sensor main body, and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

Abstract: Medical devices, plug-ins, systems, and methods for CPR quality feedback are disclosed. The medical devices can calculate peripheral circulation relevant parameters based on measured signals containing at least partial hemodynamic characteristics. Amplitude and area characteristics included in the peripheral circulation relevant parameters can further be determined for providing feedback and control relating to CPR quality during the compression process. Also, compression interruption during CPR can be evaluated based on a pulse waveform generated from the measured signals.

Abstract: A biosensor includes: a flexible base, a first sensor includes a first sensor main body, and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

Abstract: This disclosure relates to methods, devices and systems for real-time recognition of restoration of spontaneous circulation (ROSC) in the cardio-pulmonary resuscitation (CPR) process. Recognition mechanisms in both time domain and frequency domain are provided for the ROSC recognition, where the time-domain recognition logic may detect the ROSC by recognizing envelope features of sampled signals in the time domain, and the frequency-domain recognition logic may detect the ROSC by recognizing spectral peaks at different frequency points continuously or significant variations of amplitude of spectral peaks in the frequency spectrum.

Abstract: A biosensor includes: a flexible base, a first sensor includes a first sensor main body, and a second sensor includes a second sensor main body that is detachably installed on the side face of the flexible base installed with the first sensor main body, and is arranged at intervals on the first sensor main body. The second sensor is detachably installed on the flexible base installed with the first sensor, and does not overlap with the first sensor, thereby allowing the second sensor to work together with the first sensor, thereby obtaining different physiological parameters. The second sensor can also be detached from the flexible base and used independently to increase user convenience.

Abstract: Medical devices, plug-ins, systems, and methods for CPR quality feedback are disclosed. The medical devices can calculate peripheral circulation relevant parameters based on measured signals containing at least partial hemodynamic characteristics. Amplitude and area characteristics included in the peripheral circulation relevant parameters can further be determined for providing feedback and control relating to CPR quality during the compression process. Also, compression interruption during CPR can be evaluated based on a pulse waveform generated from the measured signals.

Abstract: Medical devices, plug-ins, systems, and methods for CPR quality feedback are disclosed. The medical devices can calculate peripheral circulation relevant parameters based on measured signals containing at least partial hemodynamic characteristics. Amplitude and area characteristics included in the peripheral circulation relevant parameters can further be determined for providing feedback and control relating to CPR quality during the compression process. Also, compression interruption during CPR can be evaluated based on a pulse waveform generated from the measured signals.

Abstract: This disclosure relates to methods, devices and systems for real-time recognition of restoration of spontaneous circulation (ROSC) in the cardio-pulmonary resuscitation (CPR) process. Recognition mechanisms in both time domain and frequency domain are provided for the ROSC recognition, where the time-domain recognition logic may detect the ROSC by recognizing envelope features of sampled signals in the time domain, and the frequency-domain recognition logic may detect the ROSC by recognizing spectral peaks at different frequency points continuously or significant variations of amplitude of spectral peaks in the frequency spectrum.

Abstract: Medical devices, plug-ins, systems, and methods for CPR quality feedback are disclosed. The medical devices can calculate peripheral circulation relevant parameters based on measured signals containing at least partial hemodynamic characteristics. Amplitude and area characteristics included in the peripheral circulation relevant parameters can further be determined for providing feedback and control relating to CPR quality during the compression process. Also, compression interruption during CPR can be evaluated based on a pulse waveform generated from the measured signals.