[Problem] To perform interpretation assistance of a back portion image in real time using a general-purpose computer for any case of scoliosis.

[Solution] An interpretation assistance apparatus includes a center line creating unit that creates a center line C in a back portion image of a subject, a measurement interval designating unit that accepts designation of an arbitrary measurement interval I along the center line C, a measurement width designating unit that accepts designation of an arbitrary measurement width W toward intersecting directions of the center line C, and a measurement point coordinate obtaining unit that obtains depth coordinates of respective measurement points that are apart from the center line on both the right and left sides by the measurement width W at every measurement interval I.

A method of extracting and displaying postural measurements from patient data includes retrieving, by a processor of a computing device, the patient data from memory. The patient data includes a geometric mesh representation of a patient, including a plurality of data points corresponding to spatial coordinates of a plurality of vertices in three dimensions. The method also includes determining, by the processor, a reference geometry along the geometric mesh representation in a fixed position with respect to the spatial coordinates; determining, by the processor, a landmark corresponding to one of skeletal or soft tissue anatomy for the patient; and determining, by the processor, a postural deviation of a body portion of the patient by comparing the reference geometry and the landmark. The method further includes displaying, by a display of the computing device, a graphical user interface indicating a characteristic related to the postural deviation.

A method for obtaining a spatial pattern of an anatomical structure of a subject includes comprising the steps of a) acquiring, from at least one digital image capturing device, at least one uncalibrated image of a calibration reference applied on a surface configured to receive the subject, the calibration reference having at least one known dimension and defining at least one known direction; b) defining an absolute calibrated reference system of three coordinates based on the calibration reference depicted in the at least one uncalibrated image; and c) acquiring, from the at least one digital image capturing device, at least a first and at least a second calibrated image of a plurality of markers applied on a corresponding plurality of body landmarks of the anatomical structure of the subject at respective contact points with the body landmarks, the plurality of markers being arranged within the absolute calibrated reference system,

A computer system receives readings from sensors embedded in a spinal implant implanted in a patient during surgery. The sensor readings are indicative of a load applied by a spine of the patient on the spinal implant. The load causes physical discomfort to the patient. A feature vector is extracted from the implant sensor readings using a machine learning module. The feature vector is indicative of the physical discomfort caused by the load. Electrical signals are generated using the machine learning module based on the feature vector. The machine learning module is trained based on patient data sets to generate the electrical signals to balance the load, such that the physical discomfort is reduced. The electrical signals are transmitted to one or more actuators embedded in the spinal implant to cause the one or more actuators to configure the spinal implant, such that the load is balanced.

An electronic device is provided. The electronic device includes a display, a communication circuit, and at least one processor configured to recognize a user's initial posture based on at least one of motion sensor signals of a first external electronic device and a second external electronic device received through the communication circuit, control the first external electronic device to receive a first motion sensor signal, obtain the user's workout data based on the first motion sensor signal when the initial posture satisfies a designated condition, control the second external electronic device to receive a second motion sensor signal when the user's movement is not recognized based on the first motion sensor signal and obtain the user's workout data based on the second motion sensor signal, and provide the workout data through at least one of the display or the first external electronic device.

The present disclosure provides a posture detection device and a necklace, which relates to a field of automatic control, the posture detection device is worn on a body of a user, and the posture detection device includes a sensing device, a processor, and a reminding device. The sensing device is connected to the processor, and the sensing device obtains information of back posture changes of the body of the user and sends the information to the processor. The processor is connected to the reminding device, the processor processes the information, generates a reminding signal, and sends the reminding signal to the reminding device, the reminding device starts a vibration mode according to the reminding signal.

An energy transfer system includes a spinal implant having an antenna, an antenna extender attached to a portion of the spinal implant in proximity to the antenna, and a reader device configured to send energy to the spinal implant via the antenna extender. The antenna extender extends away from the spinal implant. The spinal implant is configured to be positioned within a spinal area of a patient.

Systems, devices, and methods are disclosed herein for monitoring physiological data of subjects seated on a toilet, including systems, devices, and methods for monitoring loads and forces on a toilet seat. In some embodiments, systems, devices, and methods disclosed herein include a set of sensors that can measure loads and forces present at coupling points between a toilet seat and a base or other components of a toilet.

A computer-implemented method of detecting and quantifying a spinal curve is disclosed herein. The method comprises obtaining an infrared radiometer camera, positioning the infrared radiometer camera for receiving thermal data for a spine of a subject, the camera being horizontally spaced about ½ meters to about 3 meters from the spine, scanning at least a portion of the spine with the infrared radiometer camera to obtain the thermal data, analyzing the thermal data using machine learning software which uses a classification algorithm to determine the presence of the spinal curve, and calculating a first Cobb angle for the curve of the subject's spine. Corresponding systems and additional methods also are disclosed.

A posture determination apparatus including at least two vibration sensors and a controller. The controller causes the vibration sensors to detect vibrations while the user is lying in bed, calculates waveforms from the detected vibrations and recognizes the characteristics of the waveforms, and determines the posture of the user based on the characteristics. Thereby, it is possible to provide a posture determination apparatus capable of appropriately determining the posture of the user which is one factor of the state of the user.