14 results about "Patient Tracking" patented technology

The present application relates to the technical field of healthcare informatics, in particular to a smart ward patient nursing tracking and danger early warning system based on cloud computing, which comprises a data acquisition device, a segmentation module, a importance analysis module, an attention weight analysis module and a data uploading module, by acquiring different types of physiological data and motion state data of a plurality of patients with the same disease condition in their recovery period, and different types of environmental data of the ward where the plurality of patients are located, determining the comprehensive importance of the patients to different types of physiological data, and further determining the attention weight of any patient to different types of physiological data; based on the attention weight, determining the uploading frequency of any patient to different types of physiological data and uploading data. The present application adaptively determines the uploading frequency of the patient to different types of physiological data and uploads data, effectively avoiding the delay of patient tracking and nursing, and ensuring the reliability of nursing tracking.

The present disclosure provides a modular radiation therapy apparatus comprising a plurality of modules configured to sequentially interlock within one another in an annular arrangement, wherein the plurality of modules are individually extractable from the annular arrangement and at least a subset of the plurality of modules comprise computing elements configured to communicate with one another, the plurality of modules comprising a collimator module comprising a multi-leaf collimator (MLC) and at least one sensor, a linear accelerator (LINAC) module comprising at least one of a magnetron or a klystron, at least one imaging module comprising at least one of an image detector, an imaging source, a magnetic imaging system, a single photon emission computed tomography (SPECT) system, or a positron emission tomography (PET) system, a patient tracking module, a cooling module, and a vacuum module, and performing at least one of: monitoring a respective status of the plurality of modules via onboard sensors and computing elements to determine whether any module is in an error state and provisioning status information and module identifiers to a remote computing environment; or distributing computational workloads among the plurality of modules and communicating with a remote computing environment to offload processing tasks using federated processing operations.

A camera tracking system receives patient reference tracking information indicating pose of a patient reference array tracked by a patient tracking camera relative to a patient reference frame. A local XR headset view pose transform is determined between a local XR headset reference frame and the patient reference frame. Remote reference tracking information is received indicating pose of a remote reference array tracked by a remote reference tracking camera. A remote XR headset view pose transform is determined between a remote XR headset reference frame of a remote XR headset and the remote reference array. A 3D computer image is transformed from a local pose determined using the local XR headset view pose transform to a remote pose determined using the remote XR headset view pose transform. The transformed 3D computer image is provided to the remote XR headset for display with the remote pose relative to the remote XR headset reference frame.

A system, method and apparatus provide a self-registration service to potential victims located in proximity to an incident event. An incident-specific URL is pushed to communication devices located in proximity to the incident. The incident-specific URL links to a self-registration website that enables victims to upload their health related information. The incident-specific URL and self-registration website enables identifying potential victims along with their health status for tracking during a mass casualty incident (MCI). The service may further include providing self-triage information and the tracking of “self-help” victims, with minor injuries. The service can further exchange information with health service providers (HSPs) to facilitate patient tracking and status updates.

A visualization system may be implemented with an image guided surgery navigation system for use during ENT procedures. Correlated datasets such as surgical paths and pre-operative image slices may be correlated with the coordinate system of the navigation system for reference during a procedure. A surgeon may wear a head mounted display (“HMD”) having a transparent screen through which the patient anatomy may be viewed. The orientation and distance of the head mounted display relative to the patient anatomy may be determined using magnetic position tracking, image analysis of images captured by a camera of the HMD, or both. Correlated datasets may then be transformed based on the relative distance and orientation and may be displayed via the transparent screen to overlay directly viewed patient anatomy. Some implementations may include optical fiducials integrated with a patient tracking assembly to aid in tracking the patient and determining perspective of the HMD.

Autonomous surgical robotic systems and methods with advantages component layout. The system includes a patient support, an active cutting system positioned adjacent to the patient support on a first lateral side of the patient support, an electronic controller positioned adjacent to the patient support on a second lateral side of the patient support that opposes the first lateral side of the patient support. The system further includes at least one fixed patient tracking array configured to couple to a patient on the patient support at a fixed positional relationship to a surgical site of the patient, and a navigation system with at least one positional tracking camera system positioned on the first lateral side of the patient support.

A camera tracking system receives patient reference tracking information indicating pose of a patient reference array tracked by a patient tracking camera relative to a patient reference frame. A local XR headset view pose transform is determined between a local XR headset reference frame and the patient reference frame. Remote reference tracking information is received indicating pose of a remote reference array tracked by a remote reference tracking camera. A remote XR headset view pose transform is determined between a remote XR headset reference frame of a remote XR headset and the remote reference array. A 3D computer image is transformed from a local pose determined using the local XR headset view pose transform to a remote pose determined using the remote XR headset view pose transform. The transformed 3D computer image is provided to the remote XR headset for display with the remote pose relative to the remote XR headset reference frame.

Navigation system and method for tracking movement of a patient during surgery. Image data is acquired by imaging the patient with a base layer of a skin-based patient tracking apparatus secured to the patient's skin. The skin-based patient tracking apparatus includes a plurality of optical surgical tracking elements. A computer processor arrangement is adapted to implement a navigation routine. The patient position is registered to the image data. The movement of the patient is tracked based on movement of the plurality of optical surgical tracking elements. The movement of the patient's skin is tracked by determining positions of the optical surgical tracking elements both before and after a deformation of the skin-based patient tracking apparatus. Movement of the patient's skin results in corresponding movement of the surgical tracking elements to provide a dynamic reference frame for use in continuously tracking movement of a patient's skin during surgery.

The utility model provides a leg-adjustable surgical support matched with a surgical robot for use, which comprises a bottom connecting mechanism (1) mounted on a surgical bed, and an adjusting mechanism (2) slidably mounted on the bottom connecting mechanism (1) and used for fixing legs. A tracer mechanism (3) used for installing a surgical robot tracking device is detachably installed on the bottom connecting mechanism (1) or the adjusting mechanism (2). The device can realize multi-angle adjustment and fixation, so that the operation difficulty of a doctor is reduced; the width and the length of the device can be adjusted, and the device can flexibly and conveniently adapt to patients with different heights and weights; the patient tracking device can be flexibly adjusted and fixed, and an optical tracking system can receive signals conveniently.

The utility model relates to a drape system and a connector. The drape system (50) may include a drape (52) and a connector (54) for connecting a patient tracking device (22) across the drape (52). A drape (52) may be placed over a patient who is receiving a medical procedure. The connector (54) may be defined by a first connector body (60) and a second connector body (62). The first connector body (60) may be coupled to a base (56) of the patient tracking device, which in turn is attached to the patient. The second connector body (62) may be coupled to a head (58) of a patient tracking device. A head (58) of the patient tracking device may carry at least one tracking marker (24) configured to be tracked by a surgical position recognition system (26). The two connector bodies (60, 62) may be connected together by a drape (52) positioned between the two bodies.

The invention relates to the technical field of medical care informatics, in particular to an intelligent ward patient nursing tracking and danger early warning system based on cloud computing, which comprises a data acquisition device, a segmentation module, an attention degree analysis module, an attention weight analysis module and a data uploading module, the method comprises the following steps: acquiring different types of physiological data and motion state data of a plurality of patients with the same illness state in rehabilitation periods and different types of environmental data of wards where the plurality of patients are located, determining comprehensive attention degrees of the patients to different types of physiological data, and further determining attention weights of any patient to different types of physiological data; based on the attention weight, the uploading frequency of any patient for different types of physiological data is determined, and data uploading is carried out. According to the method and the system, the uploading frequencies of different types of physiological data of the patient are determined in a self-adaptive manner, and the data are uploaded, so that the delay of tracking nursing of the patient is effectively avoided, and the reliability of nursing tracking is ensured.

A technique for determining a need for a re-registration of a patient tracker with medical image data of a patient is presented. The patient tracker comprises an acceleration sensor configured to generate inertial data indicative of an acceleration of the patient tracker. A method implementation of the technique comprises the following steps performed by a processor: receiving inertial data acquired by the acceleration sensor, analyzing the received inertial data, or data derived therefrom, with respect to at least one first predetermined condition indicative of a drift of the tracker or an impact on the tracker, and generating, when the at least one first predetermined condition is fulfilled, at least a first re-registration signal.

The present disclosure provides a modular radiation therapy apparatus comprising a plurality of modules configured to sequentially interlock within one another in an annular arrangement, wherein the plurality of modules are individually extractable from the annular arrangement and at least a subset of the plurality of modules comprise computing elements configured to communicate with one another, the plurality of modules comprising a collimator module comprising a multi-leaf collimator (MLC) and at least one sensor, a linear accelerator (LINAC) module comprising at least one of a magnetron or a klystron, at least one imaging module comprising at least one of an image detector, an imaging source, a magnetic imaging system, a single photon emission computed tomography (SPECT) system, or a positron emission tomography (PET) system, a patient tracking module, a cooling module, and a vacuum module, and performing at least one of: monitoring a respective status of the plurality of modules via onboard sensors and computing elements to determine whether any module is in an error state and provisioning status information and module identifiers to a remote computing environment; or distributing computational workloads among the plurality of modules and communicating with a remote computing environment to offload processing tasks using federated processing operations.

The invention relates to the technical field of medical instruments, in particular to a tracker looseness automatic monitoring method, which comprises the following steps of: fixing a reflection locator and a tracking device on the same skeleton; the spatial position relation between the reflection positioner and the tracking device is obtained in real time; if the tracking device is loosened, the spatial position relation between the reflection positioner and the tracking device changes, and a loosening early warning prompt is given out according to the change. The patient tracking device looseness monitoring device is simple in structure, low in cost, free of additional electronic sensors and capable of achieving real-time automatic early warning in an operation, position relation changes of the tracking device and a reference positioning point are recognized in real time through an existing positioning system of an existing robot, and the patient tracking device looseness monitoring effect is improved. Medical staff are prompted to trace the infinitesimal displacement of the device in time, it is ensured that the operation precision always meets the requirement, postoperative complications caused by positioning errors are fundamentally avoided, meanwhile, the continuity of the operation process is guaranteed, and the operation efficiency is improved.