Systems and methods for identifying a condition of a user. A treatment apparatus is configured to be manipulated by the user for performing an exercise, and an interface is communicably coupled to the treatment apparatus. One or more sensors are configured to sense one or more characteristics of an anatomical structure of the user. A processing device and a memory is communicatively coupled to the processing device. The memory includes computer readable instructions, that when executed by the processing device, cause the processing device to: receive, from the sensors, one or more sensor inputs representative of the one or more of characteristics of the anatomical structures; calculate an infection probability of a disease based on the one or more characteristics of the anatomical structures; and output, to the interface, a representation of the infection probability.

The present application relates to a method for recognizing motion pattern of human lower limb and prostheses, orthoses, or exoskeletons thereof. The method may comprise collecting motion data; inputting the collected motion data and corresponding limb motion patterns into a classifier or pattern recognizer to train the classifier or the pattern recognizer; and inputting the motion data of the limb obtained in real time by the sensor into the trained classifier or the trained pattern recognizer to recognize a motion pattern of the limb.

Provided is to determine a walking state when a target person uses a stick. A walking state determination device according to an embodiment of the present invention includes: an acquisition unit that acquires feature information indicating a feature of a motion of a target person when using a stick, based on first measurement data acquired from a first sensor installed at the stick and second measurement data acquired from a second sensor installed at the target person; and a determination unit that determines a walking state of the target person, based on the acquired feature information.

A driver condition estimating device includes circuitry configured to measure movement of the head of a driver from output of a driver camera and detect a sign of abnormality of the driver from the movement of the head. On condition that lateral acceleration acting on the head of the driver is a predetermined value or less, the circuitry is configured to calculate a periodic feature amount from time series data showing the movement of the head of the driver, calculate a time series variation pattern from the obtained periodic feature amount, and compare of the obtained time series variation pattern with a predetermined threshold.

The subject invention corresponds to a joint flexion indicator device connecting a first member to a second member, comprising a first housing connected to the first member; a second housing connected to the second member and a sensor arranged between the housings. The sensor detects an alignment between the housings, wherein the housings are aligned facing each other when the joint is extended. The device of the subject invention allows monitoring the relative position between the members articulated by the joint, which is useful for sports training where certain postures are required to achieve an adequate technical performance. For example, in the case of golf, the device of this invention allows monitoring that an arm and forearm joined by an elbow are aligned, thereby achieving superior performance during the swing stroke. The device also allows monitoring the position and alignment of legs, hands, and feet to correct ergonomic or sports postures.

A textile suitable for detecting movement and/or deformation comprises an electrically conductive fabric (8) which can expand in at least two directions, electrodes (12) arranged substantially regularly along the periphery of the fabric (8), a controller (14) designed to control the excitation of the electrodes (12) two by two according to a pattern such that all the electrodes (12) are successively excited, and to measure each time the voltage in the non-excited electrodes (12), and a computer (22) comprising a neural network inference engine and designed to receive the voltage measurements taken attire non-excited electrodes (12) in a given excitation cycle, in order to supply them to the neural network inference engine and to return a characteristic measurement of a movement having caused a deformation of the textile.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for an enhanced goniometer. In some implementations, a method includes obtaining a sequence of measurements to be measured based on one or more data points of an examination; receiving input from a user initiating a measurement; receiving raw data from a measuring component; processing the raw data to exclude measurements corresponding to one or more axes; generating a measurement result based on the processed raw data; and providing the measurement result for output.

The present invention relates to a method for estimating the relative orientation between a tibia (11a) and a femur (11b) of a lower limb (10) of a person (1), the method being characterised in that it comprises the steps of: (a) During at least one reference movement of said lower limb (10) from a reference position, acquiring by first inertial measuring means (20a) integral with the tibia (11a) and by second inertial measuring means (20b) integral with the femur (11b) reference accelerations and angular velocities; (b) Estimating a plurality of morphological parameters of said lower limb (10), as a function of said measured reference accelerations and angular velocities; (c) Determining a relative orientation in said initial position between said tibia (11a) and femur (11b), as a function of said estimated morphological parameters of said lower limb (10); (d) During a working movement of said lower limb (10) from an initial position, acquiring by the first inertial measuring means (20a) and the second inertial measuring means (20b) working angular velocities; (e) Estimating the relative orientation between said tibia (11a) and femur (11b) as a function of said measured working angular velocities, and of said relative orientation in said initial position.

Systems and methods are provided for planning placement of an acetabular implant for a patient based on pelvic tilt. The system includes one or more sensors to be placed on the patient to provide measurements of a pelvic tilt angle of the patient taken with the patient in various functional positions to produce patient-specific data based on pelvic tilt from which to plan an inclination angle and a version angle of the acetabular implant for the patient.

A portable device (1) for quantifying movements of pronation and/or supination of a person, and intended to be used when the person has the elbow on a horizontal support, comprising: a solid armature (2) with: means for attaching (4), configured to secure one hand of the person in the device (1); a central pivot element (5) intended to be in contact with the horizontal support, during the angular oscillations of the hand, between two opposed identical “first block angles” relative to a vertical position called “neutral position”, the “first block angles” defining a “small amplitude”, first means for blocking (8) the movement of pronation and the movement of supination of the elbow, at the two “first block angles”; second means for blocking (9) the movement of pronation and the movement of supination, at two identical opposed “second block angles” relative to the neutral position, between the solid armature (2) relative to the horizontal support, the “second block angles” defining a “large amplitude” greater than the “small amplitude”; an IMU (3) able to measure movement data.