A non-transitory computer-readable storage medium stores a program that causes a computer to perform an obtaining process, an analyzing process, and an extracting process. In the obtaining process, the computer obtains a radiographic moving image showing a motion of a specific part of an examinee. In the analyzing process, the computer analyzes the radiographic moving image obtained in the obtaining process. In the extracting process, the computer extracts, among frames constituting the radiographic moving image, a specific frame that visibly shows a detection target in the specific part, based on a result of analyzing a dynamic state of the specific part in the analyzing process.

This disclosure is directed to method and system for automatic, distributed, computer-aided, and intelligent data collection/analytics, health monitoring, health condition identification, and patient preventive/remedial health advocacy. The system integrates (1) distributed patient health data collection devices, (2) centralized or distributed data servers running various intelligent and predictive data analytics engines for health screening, assessment, patient health condition identification, and patient preventive/remedial health advocacy, 3) specifically designed data structures including quantized health indicator vectors, patient health condition identification matrices and patient health condition vectors, (4) portal servers configured to interface with (5) distributed physician terminal devices and (6) distributed patient terminal devices for delivering health condition identification, health interventions and patient preventive/remedial health advocacy, and for monitoring and tracking patient activities. The various intelligent and predictive engines are configured to learn and extract hidden features and correlations from a large amount of data obtained from the distributed data collection devices.

The invention features soluble FGF decoy polypeptides and fusion polypeptides comprising an FGF decoy polypeptide linked to a heterologous polypeptide, such as an aggrecan binding protein. Both soluble FGF decoy polypeptides and fusion polypeptides can be used to prevent or treat skeletal disorders, such as achondroplasia.

A system to provide health and wellness data, comprising a platform for placement; at least one imaging sensor associated with the platform for capturing images; and a processor adapted to analyze the images to determine health and wellness data is disclosed. A toilet for assessing health and wellness of a user, comprising a bowl supported by a base; a platform for placement of a user's feet; at least one imaging sensor mounted on the base; and a processor adapted to analyze the images to determine health and wellness is disclosed. A method for assessing health and wellness comprising acquiring one or more images of the foot a user; using a processor to analyze the one or more images for health and wellness factors; and making the results of the health and wellness analysis available to the user on one or more digital platforms is disclosed.

Systems and methods for triggering inspiration and/or cycling exhalation with a ventilator are described herein. In particular, systems and methods for synchronizing ventilator breath delivery with patient breath demand utilizing a digital sample counting trigger mode are described herein. The digital sample counting triggering mode characterizes digital samples taken from a measured or estimated parameter during the patient inhalation/exhalation period to synchronize breath delivery with patient breath demand.

An apparatus for evaluating leg movement characteristics of a patient is provided. The apparatus comprises a base assembly configured to at least partially support the patient's torso; and first and second leg support assemblies independently pivotably mounted about a pivot axis relative to the base assembly. Each leg support assembly is configured to at least partially support a portion of a respective one of the first and second legs, independent of the support of the torso. Each of the leg support assemblies also comprises: a first leg support member including a foot rotation assembly configured to at least partially retain and support an associated foot of the patient and to rotate it about an axis of rotation relative to the base assembly; and a second leg support member configured for supporting a portion of the leg at a location proximal relative to the first leg support member.

Disclosed embodiments describe techniques for motion analysis based on human body mounted sensors. The motion analysis is based on human body mounted sensors using mapping and motion analysis. The wearable sensors include inertial measurement sensors, muscle activation sensors, stretch sensors, or linear displacement sensors. Data is obtained from two or more sensors attached to a body part of an individual, where the two or more sensors enable collection of motion data of the body part, and where the two or more sensors include at least one inertial measurement unit (IMU) and at least one sensor determining muscle activation. The data is processed to determine locations of each of the two or more sensors. The locations of each of the two or more sensors are mapped into a coordinate reference system. The mapping is provided to a motion analysis system. Additional data is obtained to further calculate body part motion.

Disclosed embodiments describe techniques for motion analysis based on human body mounted sensors. The motion analysis enables diagnosis and treatment using mapping and motion analysis. The wearable sensors include inertial measurement sensors, muscle activation sensors, stretch sensors, or linear displacement sensors. Data is obtained from two or more sensors attached to a body part of an individual, where the two or more sensors enable collection of motion data of the body part, and where the two or more sensors include at least one inertial measurement unit (IMU) and at least one sensor determining muscle activation. The locations of each of the two or more sensors are mapped into a coordinate reference system, based on the data. Motion of the human body is calculated based on the mapping. A movement signature is determined based on the calculated motion. The movement signature is used to analyze a movement disorder of the individual.

Systems, methods, and computer-readable media are disclosed for identifying when a subject is likely to be affected by a medical condition. For example, at least one processor may be configured to receive information reflective of an external soft tissue image of the subject. The processor may also be configured to perform an evaluation of the external soft tissue image information and to generate evaluation result information based, at least in part, on the evaluation. The processor may also be configured to predict a likelihood that the subject is affected by the medical condition based, at least in part, on the evaluation result information.

A medical device for applying pressure to a joint segment of a human body, a corresponding system and associated uses. The device includes at least three bearing units intended to be attached to a holder. Each bearing unit has: an extendable arm; a force-measuring element attached to the extendable arm; a movement-measuring element; a bearing element which is attached to the distal portion of the extendable arm, is adapted to be in contact with a part of the human body and makes it possible to apply the force measured by the force-measuring element to the part of the human body; and an attachment element adapted to attach the bearing unit to the support.