Embodiments of the present disclosure relate to the field of medical instrument, in particular to a sensor device applied in an articulation and an artificial limb system to improve control precision of the sensor. The sensor device of the present disclosure includes a plurality of magnets spaced apart from each other, the adjacent magnets having opposite polarities in a moving direction of the articulation; and at least one magnetic inductor for monitoring a displacement of the magnets caused by movement of the articulation.

A method of treating a sacroiliac joint including: approaching the sacroiliac joint with an implant including a sensor supported by a body; delivering the implant either a) non-transversely into the sacroiliac joint, b) transversely across the sacroiliac joint, or c) up to the sacroiliac joint without insertion therein, the sensor providing a signal that indicates a present condition of the sacroiliac joint; receiving an input from a sensory indicator based on the signal from the sensor, the sensory indicator being in communication with the sensor, and wherein the input from the sensory indicator provides data associated with the signal; and, treating an ailment of the sacroiliac joint based at least in part on the input.

A medical system comprising a patch device and a computer. The patch device is in communication with the computer. The patch device is configured for generating measurement data or providing a therapy. The patch device comprises electronic circuitry, a battery, an antenna system, one or more sensors, an IMU (inertial measurement unit), and a flexible enclosure. The antenna system can comprise a dual antenna formed on a dielectric substrate with a first antenna on a first side of the dielectric substrate and a second antenna on a second side of the dielectric substrate. The one or more sensors can comprise devices configured to provide measurement data or a therapy. The IMU is configured to measure position, movement, and trajectory of the patch device. The electronic circuitry is configured to harvest energy from one or more radio frequency signals received by the antenna system to recharge the battery.

A method and a device for determining an incorrect positioning in the alignment of prostheses for the lower extremities are disclosed. The method includes determining inertial measurement data and/or variables derived therefrom using at least one inertial sensor, over at least one walking cycle, for an extremity provided with a prosthesis. The method also includes comparing the inertial measurement data that has been determined and/or the variables derived therefrom with desired values and/or with measurement data that has been determined or variables derived therefrom for the corresponding extremity that is not provided with the prosthesis.

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 method for diagnosis of temporomandibular disorders (TMD) and related systems and apparatuses are disclosed. In the method, a visual evaluation of the patient in a standing position is first conducted. Condyle position in ear canals of the patient is palpated during jaw movement. A hip level of the patient is evaluated when back teeth of the patient are closed. If hips are unlevel, a first spacer is inserted between front teeth of the patient. The condyle position felt in the ear canals of the patient are re-palpated during jaw movements with the first spacer in place. The patient then raises and lowers his or her body by going up on their toes, and dropping to their heels. A reevaluation of the hip level of the patient is conducted and a positive or negative TMD diagnosis is indicated based on the reevaluation of the hip level of the patient.

The disclosure provides example methods and non-transitory computer-readable mediums for acetabular cup placement. An example method includes a processor (a) determining for a first patient a sagittal acetabular cup position in the form of a standing AI, a seated AI and a SAA based on (i) a standing SS relative to a normative SS, (ii) a dSS between a standing position and an upright seated position, (iii) a femoral version corresponding to a femoral version outlier position, and (iv) a PFA to correspond to a PFA outlier position in a standing position or an upright seated position, (b) determining a coronal acetabular cup position in the form of a supine coronal anteversion and at least one of a supine or a standing coronal inclination based on the sagittal acetabular cup position, and (c) determining a post-operative standing AI and a post-operative seated AI based on the coronal acetabular cup position.

An instrument (1) for use in measuring blood flow in the femoral head after a femoral neck fracture comprises a sleeve (2) and a rod (3) which is displaceably mounted in the sleeve. The sleeve (2) is configured for insertion into a bore (4) in the femoral neck (5) and femoral head (6) and provided with at least one aperture (8) at a front portion (2a) thereof. The aperture (8) in the front portion (2a) of the sleeve (2) is intended for location in the femoral head (6) distally of the fracture (7) after the sleeve has been inserted into said bore (4). The rod (3) is configured for closing the aperture (8) in the sleeve (2) during insertion of the sleeve into the bore (4) in the femoral neck (5) and femoral head (6) and for exposing said aperture after said insertion. Thereby, blood leaking into the bore (4) at the front portion (2a) of the sleeve (2) can be collected by the sleeve through the aperture (8) therein for subsequent measuring of the volume of the collected blood.

Systems and methods for monitoring a range of motion of a joint are described. For example, in one embodiment, a first set of sensors may sense accelerations of a first body portion located on a first side of the joint and a second set of sensors may sense accelerations of the second body portion located on a second opposing side of the joint. The acceleration data may then be used to compute the relative motion of the first and second body portions to determine movement of the joint. This joint movement may then be used to determine one or more range of motion movement metrics which are output for viewing by a subject or medical practitioner.

Joint torque is estimated for a joint of a cyclist using a simple configuration.

A joint torque computation system (10) includes a joint torque computation device (12), a detection section (14), an input section (16), and an output section (18). The joint torque computation device (12) includes a data acquisition section (122), a torque estimation section (124), and a change estimation section (126). The joint torque computation device (12) employs load data representing load applied to a pedal, skeletal data, and structural data to compute a change of joint torque when a position of a saddle has been displaced, and to output the saddle position to the output section (18). The change estimation section (126) uses plural estimated joint torque changes to decide a saddle position enabling the cyclist to develop their maximum power.