Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Chinese Academy of Medical Sciences

Peking Union Medical College Hospital

Xuezhong Yu

Jun Xu

Cheng Wang

Liangliang Zheng

Fei Han

Xingliang Jin

Xiaocui Zhang

Jingming Yang

Chen Bo Li

Yangyang Fu

Xiaoyong Zhou

Jinglei Liu

Dongqi Yao

Xinru Zou

Chen Li

Huadong Zhu

The disclosure provides an airway anomaly detection method and a ventilation device thereof. The method may include acquiring a ventilation parameter, where the ventilation parameter includes at least one of an airway pressure and airway flow; detecting, according to a change of the ventilation parameter, whether an airway anomaly event occurs; and when it is determined that the airway anomaly event occurs, outputting an airway anomaly event prompt.

Airway anomaly recognition method, ventilation device, and storage medium

A ventilation detection method applied to a ventilation apparatus. The method may include monitoring respiratory parameters during mechanical ventilation of a patient by using a ventilation apparatus, the respiratory parameters at least comprising one of airway pressure and airway flow, and using changes in the respiratory parameters to identify whether man-machine counteraction or ventilation leakage has occurred.

Ventilation detection method and device, ventilation apparatus

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.

Devices and systems for real-time recognition of restoration of spontaneous circulation (ROSC) in cardio-pulmonary resuscitation (CPR) process

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.

Pulse oximetry-based cardio-pulmonary resuscitation (CPR) quality feedback systems and methods

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.

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Beijing, China

Xuezhong Yu