A method comprising: digitally processing orientation measurements provided by each of first and second inertial measurement units, the first and second units being arranged on first and second body members of a person, respectively, according to a predetermined unit arrangement, and the first and second body members being connected by a joint; the measurements are digitally processed such that the computing device at least: computes a length vector of a segment of the first body member based on a first orientation measurement of the first unit; defines a joint axis plane of the joint based on a second orientation measurement of the second unit; and computes a heading rotation value for making the first orientation measurement to be contained within the joint axis plane defined; and the method further comprising digitally modifying the first orientation measurement or the second orientation measurement by applying a rotation at least based on the heading rotation value computed. Also, a motion tracking system and a computer program product.

A method measures a perfusion wave upstroke associated with leg perfusion dynamics, the perfusion wave upstroke including two phases, an initial slow phase and a fast-rising phase, and using prolongation of the slow phase to detect a presence of arterial stenosis and to assess stenosis severity.

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.

A biofeedback system for monitoring a limb of an animal. The biofeedback system comprises a non-rigid wrap configured to encircle the limb when the non-rigid wrap is attached to the limb and a plurality of sensors configured to be disposed within an interior of the non-rigid wrap when the non-rigid wrap is attached to the limb. Each of the plurality of sensors measures a first biometric value. The biofeedback system further includes a control module disposed within the interior of the non-rigid wrap and coupled to the plurality of sensors. The control module reads from each of the plurality of sensors first biometric values recorded during exercise of the animal.

An exercise form analysis and feedback system (EFAF) including at least one sensor, at least one local movement data receiver, an analysis and feedback processing unit (AFPU) and a feedback display. The EFAF system of the present invention obtains lift movement data through the one or more sensors as lift movements are performed. This lift movement data may, in turn, be transmitted to one or more local movement data receivers such that the AFPU may operate on the lift movement data to provide real-time or near real-time form/technique feedback to the user via a feedback display. The system of the presentation invention uses machine learning techniques to provide feedback on lift quality aspects based on data associated with previous lifts and external data as applicable.

A modular, wearable sensor and drug administration device is disclosed. The device includes removable modules such as sensors and drug administration apparatuses within a single wearable device. The device may be comfortable and modules may be easily removed and replaced. The sensors and drug administration devices may be used in concert to monitor and administer drug to a patient. Such a device may improve a patient's quality of life.

To provide an electrocardiographic measurement apparatus that can prevent a variety of subjects from having discomfort when the apparatus is attached to the subjects. The electrocardiographic measurement apparatus includes: a plurality of electrodes that has a length along a circumferential direction of an upper arm, the length being variable in accordance with a length in the circumferential direction of the upper arm, and detects an electric potential from the upper arm that is brought into contact with the electrodes; and a device body that generates electrocardiographic information based on the electric potential detected by the plurality of electrodes.

Systems and methods for assessing, monitoring, or theranosing a condition or disorder based on a comparison of limb stability for one or more limbs of a subject from a baseline. The method includes placing two or more inertial measurement sensors on the limbs of the subject, acquiring baseline limb excursion data from the inertial measurement sensors while a patient is performing at least one of a static balance activity and a dynamic balance activity by tracking the relative displacement of the respective two or more inertial measurement sensors; acquiring post-injury limb excursion data after an injury from the inertial measurement sensors while a patient is performing at least one of a static balance activity and a dynamic balance activity; and determining the activity clearance index as a function of a comparison of the baseline limb excursion data compared to the post-injury limb excursion data.

A method for evaluating a posture of a rider riding a bicycle includes: continuously receiving a plurality of sensor datasets, each of the sensor datasets being associated with a specific time instance and includes data generated by an inertial measurement set and an electrical signal sensor set; determining a plurality of top time instances and a plurality of bottom time instances, and establishing a number of riding periods based on the plurality of top time instances and the plurality of bottom time instances; and for each of the riding periods, generating an evaluation result with respect to a number of sensor datasets received within the riding period.

A single-lower-limb rehabilitation exoskeleton apparatus and control methods includes a controller, an intact lower-limb component and a paretic lower-limb component connecting communicatively with the controller. The controller is used to determine the current state of the intact lower-limb through the intact lower-limb component and the current state of the paretic lower-limb through the paretic lower-limb component. When the intact lower-limb component is in the lifting state, the movement data of the intact lower-limb is collected and sent to the controller. The controller is used to determine the corresponding gait data for the paretic lower-limb component according to the movement data of the intact lower-limb and send the gait data to the paretic lower-limb component. The paretic lower-limb component is used to drive the paretic lower-limb to move or walk according to the gait data while the intact lower-limb is in the supporting state.