A motion analytics system has a therapy boot, a camera for capturing motion of the therapy boot, and an external computing device communicatively coupled to the camera and the therapy boot. The therapy boot includes a foot portion, a shank portion, and a sole portion. The shank portion is disposed adjacently above the foot portion. The sole portion is disposed under the foot portion and includes sensors configured to detect motion of a user's foot. The external computing device receives motion data from the sensors and performs a data analytics method. The method includes organizing the received data; filtering at least a portion of the organized data through a frequency-based signal processing filter to remove background noise and interference therefrom; determining analytical data associated with one or more foot factors based on the filtered data; and categorizing the determined analytical data to provide context and insight about the user's motion.

An end to end process is disclosed that includes an installation of a prosthetic component, a prosthetic joint, or repair a musculoskeletal system. The pathway of care comprises a pre-operative pathway of care, an intra-operative pathway of care, and a post-operative pathway of care. An application downloaded to a computer drives the process. The application can include integrated PROMS, pain scores, patient Q&A, surveys, a calendar of events (such as physical therapy visits), and contact to surgeon, doctor, or healthcare provider. The pathway of care is an end to end process utilizing wearable devices, implantable devices, sensorized equipment, and sensorized tools to generate measurement data that supports a pre-operative plan, surgery, and post-operative rehabilitation. The application couples to the devices disclosed herein above to engage the patient one or more tasks such that sensors on the devices generate measurement data. The process provides better patient care while allowing the surgeon, doctor, or healthcare provider to handle more patients.

A tracking device includes a housing that can be mounted to a patient or a prosthetic device or orthotic device of the patient. The tracking device can include communications circuitry, a position sensor, and processing circuitry. The position sensor is configured to detect position data regarding the patient. The processing circuitry is configured to receive the position data from the position sensor, determine one or more metrics regarding activity of the patient based on the position data, and use the communications circuitry to transmit at least one of the position data or the one or more metrics to a client device via the cellular network.

A gradated composite material for impact protection is provided. The material includes an inner cushioning layer and an outer shell layer. The material includes a plurality of foam layers, each foam layer having a foam thickness, wherein at least some of the foam layers have differing foam thicknesses. The material includes a plurality of mesh layers, each mesh layer having a mesh porosity, wherein at least some of the mesh layers have differing mesh porosities. The foam layers and the mesh layers are positioned in an alternating arrangement between the inner cushioning layer and the outer shell layer such that each foam layer is adjacent to at least one mesh layer, and each mesh layer is adjacent to at least one foam layer.

A mobility augmentation system monitors a user's motor intent data and augments the user's mobility based on the monitored motor intent data. A machine-learned model is trained to identify an intended movement based on the monitored motor intent data. The machine-learned model may be trained based on generalized or specific motor intent data (e.g., user-specific motor intent data). A machine-learned model initially trained on generalized motor intent data may be re-trained on user-specific motor intent data such that the machine-learned model is optimized to the movements of the user. The system uses the machine-learned model to identify a difference between the user's monitored movement and target movement signals. Based on the identified difference, the system determines actuation signals to augment the user's movement. The actuation signals determined can be an adjustment to a currently applied actuation such that the system optimizes the actuation strategy during application.

In an assistance apparatus, when assisting a user in walking with an object, a motor generates, in a gait phase of a left leg, a tension less than a second threshold value in a first wire during a fifth period other than a first period during which a tension greater than or equal to a first threshold value is generated in the first wire, and a tension greater than or equal to the second threshold value in a second wire during a sixth period other than a second period during which a tension greater than or equal to the first threshold value is generated in the second wire, and generates, in a gait phase of a right leg, a tension less than the second threshold value in a third wire during a seventh period other than a third period during which a tension greater than or equal to the first threshold value is generated in the third wire, and a tension greater than or equal to the second threshold value in a fourth wire during an eighth period other than a fourth period during which a tension greater than or equal to the first threshold value is generated in the fourth wire.

A system and method for installing devices on a user can include an indicator set comprising a marker to place markings on the user, and a set of adhesive pads to be placed on the user. A knee pivot anchor can be attached to the user. A template having a proximal portion can be pivotally mounted to the knee pivot anchor. A distal portion of the template can be positioned at different locations on the user. The template also can have an aperture. A set of pods can be interchangeably located in the aperture of the template. Each pod can be secured to respective locations on the user. The template and the knee pivot anchor can be removed from the user with the pods remaining in place on the user to support a goniometer.

A wireless system comprising a first wireless device and a second wireless device. The first wireless device is configured to operate with less than 15 milliamperes of current. The second wireless device has an internal power source and is configured to transmit one or more radio frequency signals to the first wireless device. The first wireless device is configured to receive the one or more radio frequency signals from the second wireless device. The first wireless device is configured to harvest energy from the one or more radio frequency signals. The first wireless device is enabled for operation after a predetermined amount of energy is harvested from the one or more radio frequency signals. A communication handshake occurs between the first and second wireless devices to indicate that the first wireless device is in communication with the second wireless device. The first wireless device is configured to perform at least one task from harvested energy.

In an approach to smart joint monitoring for bleeding disorder patients, one or more sets of data are received from a smart joint monitor, where the smart joint monitor includes one or more sensors. One or more criticalities are detected, where the one or more criticalities are detected by an artificial intelligence engine based on the one or more sets of data and a global knowledge base. One or more suggestions are determined, where the one or more suggestions are determined by the artificial intelligence engine based on the one or more criticalities and the global knowledge base.

A cervical collar that facilitates therapeutic hypothermia is provided and includes a cooling device having a front portion and a back portion fixedly coupled to the front portion on one side and removably coupled to the front portion on an opposite side. A fastening device removably couples the back portion to the front portion on the opposite side. The cooling device induces hypothermia in at least a portion of a patient. A sensor is provided that measures a physical characteristic of the patient.