The present invention relates to a system and methods generally aimed at surgery. More particularly, the present invention is directed at a system and related methods for performing surgical procedures and assessments involving the use of neurophysiology.

A system for non-invasively determining an indication of an individual's blood pressure is described. In certain embodiments, the system calculates pulse wave transit time using two acoustic sensors. The system can include a first acoustic sensor configured to monitor heart sounds of the patient corresponding to ventricular systole and diastole and a second acoustic sensor configured to monitor arterial pulse sounds at an arterial location remote from the heart. The system can advantageously calculate a arterial pulse wave transit time (PWTT) that does not include the pre-ejection period time delay. In certain embodiments, the system further includes a processor that calculates the arterial PWTT obtained from the acoustic sensors. The system can use this arterial PWTT to determine whether to trigger an occlusive cuff measurement.

Systems and methods are provided for gathering and generating heart rate data to determine the user's current physical condition. On such system include a wearable device having a bio sensor that measures biometrics and a motion sensor that monitors activity. The system also includes a processor coupled to the bio sensor and the motion sensor, and a transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. The instructions are executed to cause the processor to generate biometric data when executed, cause the processor to execute specific functions. The instructions are executed to cause the processor to generate heart rate data from the biometrics measured by the bio sensor, generate motion data from the activity monitored by the motion sensor, calculate heart rate variability (HRV) data from the biometrics measured by the bio sensor, and determine the current state of the user's physical condition based on the correlation of one or more of the heart rate data, motion data, and calculated HRV data gathered.

A self-learning dynamic electrocardiography analysis method employing artificial intelligence. The method comprises: pre-processing data, performing cardiac activity feature detection, interference signal detection and cardiac activity classification on the basis of a deep learning method, performing signal quality evaluation and lead combination, examining cardiac activity, performing analytic computations on an electrocardiogram event and parameters, and then automatically outputting report data. The method achieves an automatic analysis method for a quick and comprehensive dynamic electrocardiography process, and recording of modification information of an automatic analysis result, while also collecting and feeding back modification data to a deep learning model for continuous training, thereby continuously improving and enhancing the accuracy of the automatic analysis method. Also disclosed is a self-learning dynamic electrocardiography analysis device employing artificial intelligence.

An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.

A system to detect a position of a cannula may include a cannula, which may include a distal tip and an inner lumen. Also, the system may include an optical fiber, which may be disposed within the inner lumen of the cannula and may include a first end, a second end, and a U-shaped portion disposed between the first end and the second end. The U-shaped portion may be at least proximate the distal tip. Further, the system may include a light emitter, which may be coupled with the first end of the optical fiber, and a light receiver, which may be coupled with the second end of the optical fiber. Moreover, the system may include an electronic processor. The electronic processor may be coupled with the light receiver and configured to detect a decrease in an intensity of light received at the light receiver.

A medical system is disclosed, which can be useable in particular for monitoring and/or controlling at least one bodily function of a user. The medical system comprises a control device and at least one medical user element embodied separately from the control device. The medical user element and the control device are designed to exchange data wirelessly. The medical system is designed to enable an automatic assignment step, wherein an exchange of personal data between the medical user element and the control device is enabled by the automatic assignment step. The medical system is furthermore designed to automatically initiate the automatic assignment step by means of an assignment coupling between the medical user element and the control device. The medical system is furthermore designed to enable a separation of the assignment coupling for medical operation of the medical system after the assignment step.

A detecting apparatus for curved surface of sole and distribution of pressure thereon, that includes a housing, a top plate enclosed at an opening of the housing, a detecting mechanism capable of vertical reciprocating movement and contacting the curved surface of sole, a detecting circuit collecting the vertical movement data of the detecting mechanism and transferring the vertical movement data to a data processing system, and the data processing system receiving and analyzing the data as well as re-constructing the profile of sole. The detection and reconstruction for 3D surface of the sole and pressure distribution thereon can be achieved by emitting and receiving an infrared ray, with high precision, strong anti-jamming ability, low power consumption and low cost.

An intra-body communication system for monitoring physiological changes in a patient is provided. The system can include a first device implanted into a patient's body; a second device spaced apart from the first device; and a receiver for detecting and/or decoding the signals to monitor physiological changes in the patient. The first device and second device are capable of engaging in a two-way communication through transmission of one or more signals through at least a portion of the patient's body between the first device and the second device. In one embodiment, the signal may be an optical signal.

A method for automatic recognition of at least one anatomical landmark in a hollow organ of a patient is provided. The method includes providing an image dataset of the hollow organ, establishing or providing a three-dimensional mesh of a surface of the hollow organ from the image dataset, and determining a centerline of the mesh by skeletization. At least one feature is determined for each of a plurality of points on the centerline. A classifier pre-trained on the at least one feature is used for detecting candidates for the at least one anatomical landmark from the plurality of points. The candidates are grouped together with a distance from one another below a threshold. At least one specification determined from the anatomy of the hollow organ is used for confirming or rejecting the candidates for the at least one anatomical landmark. One or more candidates are defined as an anatomical landmark.