Abstract: A method for evaluating a patient's extracorporeal membrane oxygenation (ECMO) operation status includes: collecting the patient's oxygen saturation data, lactate data, and oxygen partial pressure data or mean arterial pressure data; based on oxygen partial pressure data, obtaining the oxygen partial pressure classification value through a pre-trained oxygen partial pressure classifier, or based on the mean arterial pressure data, obtaining the mean arterial pressure classification value through a pre-trained mean arterial pressure classifier; based on blood oxygen saturation data, obtaining the blood oxygen saturation classification value through the pre-trained blood oxygen saturation classifier; based on the lactate data, obtaining the lactate level classification value through the pre-trained lactate level classifier; determining the patient's ECMO operation score based on the blood oxygen saturation classification value, lactate level classification value, and oxygen partial pressure classification value

Abstract: A method for abnormal alarm in blood bubble monitoring includes: when receiving a bubble signal sent by a bubble sensor, obtaining the first moment when the bubble signal is generated, and obtaining pressure sampling data of the extracorporeal circulation pipeline within a preset target time range based on a pressure acquisition device. Based on the pressure sampling data, judging whether there is abnormal pressure fluctuation in the extracorporeal circulation pipeline within the target time range. If so, obtaining the abnormal fluctuation time range corresponding to the abnormal pressure fluctuation in the extracorporeal circulation pipeline. Judging whether the first moment is within the abnormal fluctuation time range. If so, ignoring the bubble signal. If the first moment is not within the abnormal fluctuation time range, or if there is no abnormal pressure fluctuation in the extracorporeal circulation pipeline within the target time range, issuing a bubble alarm message.

Abstract: A fixing device for a pressure sensor arranged on a flexible tubing includes a housing and a fixing member. The fixing member is used to fix a sensor body. The fixing member is provided with a first cavity to accommodate the sensor body. The sensor is arranged in the first cavity. A protrusion is provided on the periphery of the first cavity. A second cavity is provided inside the housing at a position corresponding to the protrusion. The protrusion extends into the second cavity and is not connected with the second cavity. The housing and the fixing member do not contact each other. When the flexible tubing deforms or a relative displacement occurs between the flexible tubing and the fixing device, the connection between the pressure sensor and the flexible tubing maintains good sealing, which greatly reduces the risk of leakage at the connection between the pressure sensor and the flexible tubing.

Abstract: A power management method, system, device and medium for life support equipment, when it is detected that the power of the external energy storage power supply is insufficient to power the whole device, the charging power of the battery is reduced by adjusting the duty cycle. At the same time, a prediction algorithm is added when adjusting the duty cycle to reduce the probability of the external energy storage power supply triggering overload protection. In this way, when the power of the external energy storage power supply is insufficient, it can ensure that the internal battery has more power, thereby improving the endurance of the ECMO device when transferring patients and better ensuring the life safety of patients.

Abstract: The embodiment of the application provides a vertical quick clamping fixing device, this vertical quick clamping fixing device includes: the fixing seat comprises a mounting groove with an upper end opening; the locking block comprises a mounting part, a connecting part and a fixing part, wherein the mounting part is used for being fixedly mounted with a piece to be fixed, and the connecting part is used for connecting the mounting part and the fixing part; the connecting part can extend into the mounting groove from the opening so as to place the fixing part in the fixing seat; the edge of fixed part equidistant is equipped with the spacing groove just the both sides of spacing groove have the guide surface, the fixing base still includes elastic locating part, elastic locating part has elasticity and can stretch out and draw back, so that elastic locating part butt all the time is in the edge of fixed part, just elastic locating part can follow the guide surface that moves in or moves out the spacing groove

Abstract: Examples of the present application provide an ECMO system lifting device, including: a support device, a lifting device, a first guide device, and a second guide device. The support device includes a base and a vertical column. The lifting device includes a support and a lifting rod. The first guide device includes a first adjustment mechanism and a first guide wheel set, the first guide wheel set includes a first guide wheel and a second guide wheel, and the first adjustment mechanism can cause the first guide wheel and the second guide wheel to move relative to each other in a first direction, so that circumferential surfaces of the first guide wheel and the second guide wheel each abut against the vertical column.

Abstract: The embodiment of the present application provides a membrane oxygenation device, including a shell, a diverter column is arranged in the shell, a heat exchange part and an oxygenation part are arranged between the diverter column and the shell from the inside to the outside, and a blood inlet and a blood outlet are arranged on the shell; a connector is arranged above the diverter column, and the connector and the diverter column are connected by a plurality of spaced connectors, blood flows into the shell from the blood inlet and is diverted by the diverter column, and then flows into the heat exchange part along the circumferential direction of the shell. The present application can solve the problem of uneven blood flow rate caused by a single outlet in conventional vertical oxygenators.

Abstract: The embodiment of the present application provides a locking device and a fixing device, including a hook assembly and a trigger assembly. The hook assembly includes a sliding member, a first hook and a second hook. The first hook and the second hook are arranged on the sliding member at intervals. The sliding member is slidably connected to the base, and an adjustment assembly is arranged between the sliding member and the base. The trigger assembly includes a trigger assembly body and a mounting member. The trigger assembly body is arranged on the mounting member. The trigger assembly body is arranged above the first hook, and the device to be fixed drives the trigger assembly body to move and then drives the sliding member to move.

Abstract: Techniques for identifying attack behavior based on scripting language activity are disclosed. A security monitoring system generates a behavior profile for a first client device based on scripting language commands included in a first set of raw machine data received from the first client device, where the first client device is coupled to a network, and the first set of raw machine data is associated with network traffic received by or transmitted from the first client device. The security monitoring system analyzes a second set of raw machine data received from the first client device, where the second set of raw machine data is associated with subsequent network traffic received by or transmitted from the first client device. The security monitoring system detects an anomaly in the second set of raw machine data based on the behavior profile, and initiates a mitigation action in response to detecting the anomaly.

Abstract: A pump head includes a casing including a blood inlet configured to receive a flow of a blood and a blood outlet configured to allow the blood to flow out of the casing. The pump head also includes a shaft disposed in the casing. The pump head also includes a magnetic structure mounted onto the shaft. The pump head further includes an impeller having an open structure and mounted to an exterior surface of the magnetic structure through an opening provided at the open structure.

Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

Abstract: A pump head is provided. The pump head includes a casing including a blood inlet configured to receive a flow of a blood and a blood outlet configured to allow the blood to flow out of the casing. The pump head also includes a shaft disposed in the casing. The pump head also includes a magnetic structure mounted onto the shaft. The pump head further includes an impeller having an open structure and mounted to an exterior surface of the magnetic structure through an opening provided at the open structure.

Abstract: Techniques for identifying attack behavior based on scripting language activity are disclosed. A security monitoring system generates a behavior profile for a first client device based on scripting language commands included in a first set of raw machine data received from the first client device, where the first client device is coupled to a network, and the first set of raw machine data is associated with network traffic received by or transmitted from the first client device. The security monitoring system analyzes a second set of raw machine data received from the first client device, where the second set of raw machine data is associated with subsequent network traffic received by or transmitted from the first client device. The security monitoring system detects an anomaly in the second set of raw machine data based on the behavior profile, and initiates a mitigation action in response to detecting the anomaly.

Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

Abstract: Techniques for identifying attack behavior based on scripting language activity are disclosed. A security monitoring system generates a behavior profile for a first client device based on scripting language commands included in a first set of raw machine data received from the first client device, where the first client device is coupled to a network, and the first set of raw machine data is associated with network traffic received by or transmitted from the first client device. The security monitoring system analyzes a second set of raw machine data received from the first client device, where the second set of raw machine data is associated with subsequent network traffic received by or transmitted from the first client device. The security monitoring system detects an anomaly in the second set of raw machine data based on the behavior profile, and initiates a mitigation action in response to detecting the anomaly.

Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.