A system and method are provided to detect the operational state of a medical device, which includes a controller, a drive member, and a drive control member, where the controller is configured to control the drive control member to drive the drive member to operate. The method includes: acquiring an operating state parameter of the drive member, and determining the state information of the medical device according to the operating state parameter of the drive member and a predetermined judgment rule. Therefore, the state information of the medical device can be determined, and state monitoring of the medical device is realized, thereby ensuring the reliability of the medical devices.

Disclosed is an NGT system, the system comprises a nasogastric tube having a diameter and length configured to pass through an esophagus such that the lumen of the NGT maintains fluid communication with a portion of the digestive tract, and a digestive tract sensor operatively associated with the NGT, the digestive tract sensor configured to sense from inside the body and transmit signals in response to one or both of conditions relating to nourishment states of the digestive tract, and positioning of the NGT.

There is provided herein a system and a method for an insertion device positioning guidance system comprising: an electromagnetic field generator configured to generate an electromagnetic field covering a treatment area; a reference sensor configured to be positioned, within the treatment area, on the subject's torso, the reference sensor is configured to define a reference coordinate system representing the position and orientation of the subject's torso relative to the field generator; a registration sensor configured to mark at least a first and a second anatomic locations relative to the reference coordinate system; and a processor configured to operate the field generator, read signals obtained from the reference sensor and the registration sensor, calculate a position and orientation thereof relative to the field generator, generate a 3D anatomic map representing the torso of the subject and the first and second anatomic locations, the processor is further configured to facilitate visualization on the 3D anatomic map of a position, orientation and/or path of a tip sensor, located in a distal tip section of the insertion device, with respect to the first and second anatomic locations, independent of the subject's movement and independent of deviations in the position and/or orientation of the field generator, thus determination of a successful medical procedure is facilitated.

The present disclosure relates to position monitoring of medical devices, and more specifically to technologies for enabling the automatic monitoring of a position of a catheter in relation to a diaphragm. Aspects of the disclosure comprises determining training data to be used for training a machine learning algorithm to classify a position of a catheter in relation to a diaphragm of a patient. Further aspects of the disclosure comprising using a trained machine learning algorithm for classifying a position of a catheter in relation to a diaphragm of a patient.

A tubing assembly for use in conjunction with electronic catheter guidance systems is provided and includes a catheter and a sensor. The catheter extends in a longitudinal direction and has a proximal end and a distal end that define a lumen therebetween. Further, the catheter is configured for placement within a digestive tract of a patient. The sensor includes a temperature sensor, relative humidity sensor, or both, and can be located within the lumen of the catheter or in an air sampling chamber connected to the catheter. The sensor can communicate with a processor to deliver temperature and/or relative humidity readings to a display device. A constant temperature or relative humidity profile, or both after a pre-determined amount of time can indicate placement of the catheter in the digestive tract. A catheter guidance system and a method for accurately placing a catheter in the digestive tract are also provided.

There is provided herein a guidance system for positioning an insertion device comprising: an electromagnetic field generator configured to generate an electromagnetic field covering a treatment area, an insertion device comprising an electromagnetic sensor, the electromagnetic sensor configured to receive signals indicative of the electromagnetic field, and a processing circuitry configured to: load an X-ray, CT, ultrasound or MRI image of the subject's chest, mark a location of a first and a second anatomic landmarks on the subject's torso using a registration sensor and obtaining a subject coordinate system based thereon, identify the location of the first and the second anatomic landmarks on the loaded X-ray, CT, ultrasound or MRI image of the subject's chest; aligning the subject coordinate system with the loaded X-ray, CT, ultrasound or MRI image, and display, on the image, a path of the insertion device insertion with respect to the first and the second anatomic locations; wherein the path is generated according to changes in the strength of the electromagnetic field sensed by the tip sensor's during the insertion of the insertion device.

The present disclosure relates to position monitoring of medical devices, and more specifically to technologies for enabling the automatic monitoring of a position of a catheter in relation to a diaphragm. Aspects of the disclosure comprises determining training data to be used for training a machine learning algorithm to classify a position of a catheter in relation to a diaphragm of a patient. Further aspects of the disclosure comprising using a trained machine learning algorithm for classifying a position of a catheter in relation to a diaphragm of a patient.

The present disclosure relates to position monitoring of medical devices, and more specifically to technologies for enabling the automatic monitoring of a position of a catheter in relation to a diaphragm. Aspects of the disclosure comprises determining training data to be used for training a machine learning algorithm to classify a position of a catheter in relation to a diaphragm of a patient. Further aspects of the disclosure comprising using a trained machine learning algorithm for classifying a position of a catheter in relation to a diaphragm of a patient.

An imaging apparatus includes: a tube; a light-emitting part in the tube; a driver that switches emission and non-emission of light from the light emitting part; a camera that takes images of the target object; a controller that controls the driver and generates a display image using the image obtained from the camera; and a display that displays the display image; where the controller generates a light position image corresponding to the light from the light-emitting part based on the difference between a first image obtained from the camera correlated with the light emission and a second image obtained from the camera correlated with the light non-emission, and generates the display image by overlaying the light position image in a visible color on an exterior image of the target object obtained from the camera.

Methods and apparatus for guiding medical care based on sensor data from the gastrointestinal tract are described utilizing an apparatus which can be used with enteral feeding. Generally, the apparatus includes an elongated body having a length configured for insertion into a stomach and at least one pair of electrodes located along the length of the elongated body and positionable for placement within the stomach. A controller in electrical communication with the at least one pair of electrodes is included and the control may also be configured to measure a conductivity or impedance between the pair of electrodes and to determine a gastric residual volume of the stomach based on the measured conductivity or impedance.