A wearable monitoring device has an elongated adhesive-bearing body that includes a controller and at least one sensor operatively connected to the controller. The sensors are disposed and configured to capture data associated with bodily joint movement when worn overlying and/or adjacent the joint. The sensors may capture data relating to one or more of angle of flexion, repetitions, range of motion, speed, body temperature, moisture, pH level, atmospheric conditions, and location. Captured data may be interpreted to identify movement parameters and compare them to applicable movement limits, such as those associated with post-operative instructions. Movements exceeding limits may result in alerts/warnings to the wearer, via an associated smartphone or wearable notification device. Movement and/or alert data may be transmitted to the user's smartphone, etc., to a centralized monitoring system, and/or to a healthcare provider's and/or electronic medical records system, to facilitate recordkeeping and patient monitoring.

Various systems and methods are provided for surgical and interventional planning, support, post-operative follow-up, and functional recovery tracking. In general, a patient can be tracked throughout medical treatment including through initial onset of symptoms, diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment. In one embodiment, a patient and one or more medical professionals involved with treating the patient can electronically access a comprehensive treatment planning, support, and review system. The system can provide recommendations regarding diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment based on data gathered from the patient and the medical professional(s). The system can manage the tracking of multiple patients, thereby allowing for data comparison between similar aspects of medical treatments and for learning over time through continual data gathering, analysis, and assimilation to decision-making algorithms.

A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load, and joint alignment. The system further includes a remote system for receiving, processing, and displaying quantitative measurements from the sensors. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation. The kinetic assessment increases both performance and reliability of the installed joint by reducing error that is introduced by elements that load or modify the joint dynamics not taken into account by prior assessment methods.

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.

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.

Systems and method for use in diagnosing a medical condition of a patient are provided. The method includes providing medical condition information, receiving patient data relating to the medical condition information, comparing the received data to a baseline, and determining, by a computing device including a processor, a class of patient based on the received patient 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.