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.

Disclosed herein is a joint evaluation device and corresponding systems and methods for evaluating ligaments and other soft tissue connections between, for example, a tibia and a femur at a knee j oint. The joint evaluation device being arranged and configured to induce and measure forces while positions of the tibia and femur are monitored. Some embodiments use a computer assisted surgery device to track positions of the tibia and the femur, and may include a computing device configured to evaluate the forces measured between a first engagement portion and a second engagement portion of the joint evaluation device to output information related to the status of the ligament and other soft tissue connections prior to any bone resections being made to the tibia or the femur.

A computing system having at least one sensor, at least one processor, and at least one memory including a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the computing system to receive one or more surgical parameters associated with a ligament balancing of a patient's joint, receive real-time sensor data generated by the at least one sensor and indicative of at least one characteristic of the patient's joint, and apply machine learning to determine a next ligament balancing step of the ligament balancing of the patient's joint based on the one or more surgical parameters and the real-time sensor data, wherein the next ligament balancing step is a step of one or more steps intended to result in a target state of the patient's joint identified by the machine learning.

Methods for evaluating subjects having conditions associated with loss of muscle function (e.g., a motor neuron disease, a neuromuscular disease, or a myopathy) by measuring muscle function (e.g., muscle strength) are disclosed.

Disclosed herein are systems and methods for providing secure authentication and connection between an implant and a remote monitoring platform for tracking implant performance. A joint implant according to the present disclosure can include a first implant coupled to a first bone of a joint, a second implant coupled to a second bone of the joint, a first communication module, and a memory to store authentication information. The first communication module can be configured to wirelessly transfer the authentication information to a communication module of an external device when the external device is placed adjacent the joint implant. The first communication module can be an NFC communication module configured to transfer the authentication information to the communication module of the external device via NFC.

Disclosed herein are joint implants and methods for tracking joint implant performance. A joint implant includes a first implant coupled to a first bone of a joint and a second implant coupled to a second bone of the joint. The second implant includes at least one of a first sensor configured to measure a first type of data, and a processor operatively coupled to the at least one of the first sensor. The process outputs the first type of data to a network to be compared with data received from other joint implants. One of the joint or the implant is determined to be in a first state based on a comparison of the first type of data to a set of predetermined values formed based on the data received from the other joint implants. The predetermined values are adapted to change with the addition of new data.

Disclosed herein is a joint implant including a first implant coupled to a first bone of a joint, and a second implant coupled to a second bone of the joint and contacting the first implant. The second implant can include a plurality of sensors configured to measure data and a processor operatively coupled to the plurality of sensors and adapted to receive the data from the sensors. The processor can be configured to communicate with a neural network and a channel detector adapted to exclude a first portion of the data received from the processor and output a second portion of the data.

A medical system comprising a first medical device, a second medical device, and a computer. The first medical device is configured to be placed beneath the dermis. The first medical device comprises an enclosure comprising non-electrically conductive material. A cap couples to the enclosure and is configured to seal the enclosure. The enclosure houses electronic circuitry configured to measure one or more parameter or provide a therapy. The cap couples to the ground of the electronic circuitry. The first medical device includes a dual band antenna. A first antenna is configured to operate within a first frequency band below 1 gigahertz. The second antenna is configured to operate at a frequency above 1 gigahertz. The second medical device is configured to transmit a radio frequency signal to the first medical device. The first medical device is configured to harvest the energy received from the radio frequency signal to enable the electronic circuitry and perform at least one task.

Disclosed herein is a joint replacement system and a method of performing surgery. The joint replacement system may include a first implant having a marker, a second implant having a reader to detect the marker, and a processor in communication with the second implant. The processor may include different algorithms based on the first and second implants. The method may comprise the steps of receiving first information related to a first implant, receiving second information related to a second implant, selecting an algorithm based on the first and second information; and receiving data from the first and second implants utilizing the algorithm.

Disclosed herein are joint implants with sensors and methods for manufacturing joint implants with sensors. A knee joint implant according to the present disclosure may include a femoral implant, a tibial implant and a tibial insert disposed therebetween. The tibial implant may include a medial side with a medial central region defined around a medial center, a lateral side with a lateral central region defined around a lateral center and a central region disposed between the medial central region and the lateral central region. At least one sensor and a battery may be disposed within the tibial insert. The medial central region and the lateral central region may be defined by solid volumes extending from a proximal surface to a distal surface of the tibial insert.