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 method for treating a patient having a vestibular malady is provided. The method comprises (a) diagnosing the patient as having a vestibular malady; and (b) prescribing eyewear to the patient as a treatment of the vestibular malady, either alone or in conjunction with undertaking vestibular rehabilitation while wearing the eyewear. The eyewear (201) has a first lens (205) which extends over the field of vision of a first eye, wherein the first lens has first (207) and second (209) distinct optical regions. The eyewear imparts vision to the first eye which is characterized by a central vision having a first optical quality and a peripheral vision having a second optical quality.

The present disclosure relates to a sensing device and a method for processing sensing data.

The systems, methods, apparatuses, and articles disclosed herein provide a new approach to treatment symptoms, such as proprioceptive dysfunction and vestibular disorders, which may be caused by certain types of human ailments. According to the present disclosure, a wearable article may include one or more limb sections and a resilient member may be provided along a length of each of the one or more limb sections and configured to generate a resistance force. Adjustments to the resistance force provided by the resilient member(s) may be adjusted using cord locks. As a user wearing the wearable article moves, the resistance force is applied to the user's limbs. Strain gauges may be provided to measure the resistance force(s), which enables verification that the resilient members are sized and configured to provide an appropriate amount of resistance force to a user and may improve programs and regimens designed to treat such ailments.

A system and method for measuring the head position and postural sway of a subject is disclosed herein. The system generally includes a head position detection device, a postural sway detection device, and a data processing device operatively coupled to the head position detection device and the postural sway detection device. During the execution of the method, the position of the head of the subject is measured using the head position detection device, and the postural sway of the subject is measured using the postural sway detection device. Also, during the execution of the method, it is determined whether the subject is displacing his or her head over a prescribed range by comparing the head position information determined by using the head position measurement device to a predetermined head displacement range.

An orthopedic system configured for use in a pre-operative, intra-operative, and post-operative assessment. The orthopedic system comprises a first screw, a second screw, a first device, a second device, and a computer. The first device and the second device are respectively coupled to a first bone and a second bone of a musculoskeletal system. The first and second devices each include electronic circuitry, one or more sensors, and an IMU. A bracket, wrap, or sleeve can be used to hold the first and second devices to the musculoskeletal system. The first and second devices are configured to send measurement data to a computer. The first and second devices each have an antenna system. Electronic circuitry in the first or second devices are configured to harvest energy from a received radio frequency signal to recharge a battery to maintain operation.

Methods, apparatuses, computer program products, devices and systems are described that carry out accepting user brain activity measurement data; selecting at least one user-health test function at least partly based on the user brain activity measurement data; and applying the at least one user-health test function to at least one interaction between at least one user and at least one device-implemented application.

A method and apparatus for helping a user walk may verify whether the user is in a standing state and calculate a torque that controls balance of the user, and an assistance force for controlling balance may be provided for the user based on the torque generated by an actuator.

Certain aspects of the disclosure are directed to determining cardiac physiological parameters. Specific embodiments concern an arrangement of apparatuses including a platform region configured and arranged with an area for the user to stand, a plurality of force sensors including sensor circuitry, and a processor circuitry. The force sensors provide a plurality of analog signals while the user is standing on the platform region. The processor circuitry is configured and arranged to determine cardiac physiological parameters of the user corresponding to a graphical representation of cardiac movements, by processing the analog signals, mitigating at least some effect on the analog signals attributable to postural sway of the user, and generating data indicative of the physiological parameters based on said processing of the analog signals and the mitigating of at least some of the effect on the analog signals attributable to postural sway of the user.

This disclosure relates to systems and methods to analyze gait, balance or posture information extracted from data collected by one or more wearable and connected sensor devices with sensors embedded therewithin. The embedded sensors include a three-axis accelerometer, a three-axis gyroscope and an array of pressure sensors. Sensor data detected by the sensors can be received by a mobile computing device, which can analyze the sensor data to identify a pattern related to gait, balance or posture within the sensor data; and apply a statistical/machine learning-based classification to the pattern related to gait, balance or posture to assign a clinical parameter to the pattern characterizing a risk of a slip, trip and fall event.