A system for assisting an x-ray operator with properly positioning a patient's body part to be x-rayed. The system uses a range sensor and/or a camera supported on an x-ray emitter to collect data about the patient's body part to be x-rayed. The data is transmitted to a processor and compared to a selected reference envelope or image. The processor provides an x-ray operator with a positive or negative notification based on its analysis of the collected data and the selected reference envelope or image. A negative notification indicates that the patient's body part needs to be adjusted. A positive notification indicates that the patient's body part is ready to be x-rayed.

The pose and shape of a human body may be recovered based on joint location information associated with the human body. The joint location information may be derived based on an image of the human body or from an output of a human motion capture system. The recovery of the pose and shape of the human body may be performed by a computer-implemented artificial neural network (ANN) trained to perform the recovery task using training datasets that include paired joint location information and human model parameters. The training of the ANN may be conducted in accordance with multiple constraints designed to improve the accuracy of the recovery and by artificially manipulating the training data so that the ANN can learn to recover the pose and shape of the human body even with partially observed joint locations.

Human mesh model recovery may utilize prior knowledge of the hierarchical structural correlation between different parts of a human body. Such structural correlation may be between a root kinematic chain of the human body and a head or limb kinematic chain of the human body. Shape and/or pose parameters relating to the human mesh model may be determined by first determining the parameters associated with the root kinematic chain and then using those parameters to predict the parameters associated with the head or limb kinematic chain. Such a task can be accomplished using a system comprising one or more processors and one or more storage devices storing instructions that, when executed by the one or more processors, cause the one or more processors to implement one or more neural networks trained to perform functions related to the task.

A patient's healthcare experience may be enhanced utilizing a system that automatically recognizes the patient based on one or more images of the patient and generates personalized medical assistance information for the patient based on electronic medical records stored for the patient. Such electronic medical records may comprise imagery data and/or non-imagery associated with a medical procedure performed or to be performed for the patient. As such, the imagery and/or non-imagery data may be incorporated into the personalized medical assistance information to provide positioning and/or other types of diagnostic or treatment guidance to the patient or a service provider.

A medical system may utilize a modular and extensible sensing device to derive a two-dimensional (2D) or three-dimensional (3D) human model for a patient in real-time based on images of the patient captured by a sensor such as a digital camera. The 2D or 3D human model may be visually presented on one or more devices of the medical system and used to facilitate a healthcare service provided to the patient. In examples, the 2D or 3D human model may be used to improve the speed, accuracy and consistency of patient positioning for a medical procedure. In examples, the 2D or 3D human model may be used to enable unified analysis of the patient's medical conditions by linking different scan images of the patient through the 2D or 3D human model. In examples, the 2D or 3D human model may be used to facilitate surgical navigation, patient monitoring, process automation, and/or the like.

A system for monitoring heart activity may provide a power source, digital storage, a processor, a main body with an alignment mechanism facilitating proper placement, and one or more microphones for receiving audio signals and positioned for placement at auscultatory areas. The alignment mechanism may be a dip, depression, notch, or combinations thereof that align the system centrally on the sternum, suprasternal notch, or jugular notch. Further, the audio signals from the microphones may be monitored or recorded as individual tracks corresponding to different auscultatory areas. The auscultatory areas may be selected from an aortic area, pulmonic area, tricuspid area, mitral area, Erb's point, first alternate tricuspid area, and/or second alternate tricuspid area.

A display for outputting information contents of at least one parameter, adjustment value or measurement value of medical devices within at least one display region, wherein the at least one display region is in the form of a tachometer-like display.

A smart body analyzer apparatus includes a rotatable plate for supporting and turning a body, a control unit for rotating the rotatable plate, and at least one group of touch-less sensors for scanning the body. Examples of touch-less sensors include a far infrared temperature sensor and a depth sensor. The depth sensor can employ a time-of-flight imaging method, a stereoscopic imaging method, a microwave imaging method and/or a laser ranging method based on trigonometric principles.

Disclosed is a vertigo diagnosis and treatment system including a frame, a revolution device, a rotation device and a seat, the frame comprising a primary frame and a secondary frame arranged oppositely. The revolution device includes a power mechanism and a slewing frame. The slewing frame is arranged between the primary frame and the secondary frame. The primary frame and the secondary frame provide slewing support for the slewing frame. The rotation device includes a power mechanism and a seat rotating frame. The vertigo diagnosis and treatment system further includes a seat biasing mechanism. Under the combined action of the revolution device and the rotation device, the vertigo diagnosis and treatment system according to the present invention can realize three-dimensional free rotation and hovering in any position, thus achieving vertigo diagnosis and treatment.

A smart system and methods for coupling a medical transporter apparatus with an imaging apparatus, involving: a smart docking module comprising at least one coupler responsive to a controller operable by a set of executable instructions, the smart docking module comprising a non-magnetic material; and the smart docking module configured by the controller to automatically perform at least one of: position, dock, engage, latch, lock, interlock, release, emergency-release, quick-release, disengage, emergency-disengage, and quick-disengage the medical transporter apparatus in relation to the imaging apparatus.