A System for Measuring Body Kinetics includes a wearable device configured to be wrapped around a joint. A microprocessor is attached to the wearable device. One or more Inertial Measurement Units (IMUs) are connected to the microprocessor and arranged on the wearable device. The IMUs are arranged and configured to provide kinetic data concerning the joint to the microprocessor. A wireless transmission component is connected to the microprocessor. The microprocessor is configured to receive kinetic data from the IMUs, and to transmit the kinetic data by way of the wireless transmission component to a central processor or other device. An algorithm resides within the microprocessor or the central processor or other device, and is configured to determine the position of each IMU from the kinetic data. The wearable device may be constructed of fabric, strap, adhesive tape, or a combination thereof.

A sarcopenia evaluation method in a sarcopenia evaluation device that evaluates sarcopenia based on a walking motion of a subject includes: acquiring walking data related to walking of the subject; detecting, from the walking data, at least one walking parameter of an angle of a knee joint of one leg in a stance phase of the one leg of the subject, an angle of the knee joint of the one leg in a swing phase of the one leg, a vertical displacement of a toe of one foot in the stance phase, a vertical displacement of the toe of the one foot in the swing phase, an angle of an ankle joint of the one foot in the stance phase, and an angle of the ankle joint of the one foot in the swing phase; and determining whether or not the subject has sarcopenia using at least one walking parameter.

A device for simulated weight bearing on a foot and ankle of a patient, the device including a base plate configured to receive a leg of the patient. The base plate includes a base portion, a foot plate and an adjustable calf plate. The device further includes a waist belt configured to be worn by the patient and a weighting apparatus configured to selectively connect the base plate and the waist belt. The device for simulated weight bearing on a foot and ankle of a patient may be used in a method of using the device for simulated weight bearing on a foot and ankle of a patient using an imaging device.

An exoskeleton device is provided herein that includes a control unit including a controller. At least one embedded sensor is configured to acquire data. An actuator is in electrical communication with the at least one embedded sensor and the controller. The controller is configured to adjust a level of assistance or resistance provided by the actuator in response to a change in a performance metric as measured by the acquired data.

A method of using an ankle exoskeleton device is provided herein. The method includes collecting one or more biomechanical data points from an individual. The method also includes developing individualized musculoskeletal simulations based on the one or more biomechanical data points. In addition, the method includes creating predictive simulations by modeling effects of an ankle exoskeleton device on the individualized musculoskeletal simulations. The method also includes utilizing established device-user relationships with real-time measurements to adjust device control. Lastly, the method includes optimizing design and control parameters of the exoskeleton device based on the predictive simulations and user responses.

The present application discloses a medical device useful for the diagnosis and/or treatment follow-up of human joints, in particular a device for positioning human joints for CT-scan and MRI. The medical device allows an accurate and comprehensive assessment of human joints, characterizing quantitatively biomechanical consequences, whole joint kinematics alterations, cartilage mechanical behavior under pressure and clinical susceptibility to further damage.

A foot stretching/checkup device includes: a motor unit; a footrest unit including a lower footrest configured to be rotated about a first rotation axis, an upper footrest configured to be rotated about a second rotation axis and a connecting member connecting the upper footrest and the lower footrest; and a coupling unit including an arm portion rotated by the motor unit and a rotary coupler coupled to the upper footrest. The upper footrest is configured to be rotated by a predetermined angle about the second rotation axis by the rotation of the arm portion. The lower footrest is configured not to be rotated about the first rotation axis by rotation of the arm portion until the upper footrest is rotated by the predetermined angle.

An estimation device that includes a detection unit that detects a terminal stance period from time-series data of sensor data based on a physical quantity related to movement of a foot measured by a sensor provided at a foot portion, a feature amount extraction unit that extracts a feature amount from an angular waveform in a coronal plane during the terminal stance period, and a presumption unit that estimates a degree of pronation/supination of the foot by using the feature amount extracted from the angular waveform in the coronal plane.

An estimation device that includes a detection unit that detects a terminal stance period from time-series data of sensor data based on a physical quantity related to movement of a foot measured by a sensor provided at a foot portion, a feature amount extraction unit that extracts a feature amount from an angular waveform in a coronal plane during the terminal stance period, and a presumption unit that estimates a degree of pronation/supination of the foot by using the feature amount extracted from the angular waveform in the coronal plane.

An estimation device that includes a detection unit that detects a terminal stance period from time-series data of sensor data based on a physical quantity related to movement of a foot measured by a sensor provided at a foot portion, a feature amount extraction unit that extracts a feature amount from an angular waveform in a coronal plane during the terminal stance period, and a presumption unit that estimates a degree of pronation/supination of the foot by using the feature amount extracted from the angular waveform in the coronal plane.