Disclosed herein are systems and methods for providing peripheral services for an implant with sensors. A method according to the present disclosure may creating a patient account on a patient monitoring platform, determining sensor information to be measured from one or more sensors disposed on an implant coupled to a patient using the patient account, determining a duration during which sensor information is collected and transferred from the one or more sensors to the patient monitoring platform, analyzing sensor information received from the one or more sensors on the patient account via an external device, and communicating corrective steps from the external device to the patient or the implant via the patient account.

Disclosed herein are joint implants and methods for tracking joint 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; an insert coupled to the first and second implants; an acoustic exciter configured to emit a vibration signal; a sensor to measure the vibration signal of the first implant, the second implant, and the insert; and a processor operatively coupled to the sensor, the processor configured to output a vibration signature to an external source.

Disclosed herein are joint implants and methods for tracking joint implant performance. Braces and trackers for assessing pre- or post-surgical kinematic movement of a joint are also disclosed. The implants, braces and trackers can be utilized together or separately. Trackers having magnets can be implanted in select areas of the joint and sensors included in the braces can cooperate with the trackers to provide joint movement information to both the patient and the surgeon. Braces that do not require cooperation with implanted trackers are also disclosed, as are their uses.

Disclosed herein are methods for determining kinematic information of a joint. A method according to one embodiment may comprise the steps of receiving data obtained from a sensor of an implanted joint implant, analyzing the data with a trained estimation model to simultaneously determine kinematic information of the joint in six degrees of freedom, and outputting the kinematic information. In another embodiment, a method may comprise the steps of applying data obtained from a Hall sensor of an implanted joint implant to a trained estimation model to simultaneously determine kinematic information of the joint in six degrees of freedom; and outputting the kinematic information.

A system and method for allowing any surgeon, including those surgeons who perform a fewer number of a replacement procedure as compared to a more experienced surgeon who performs a greater number of procedures, to provide an improved likelihood of a favorable outcome approaching, if not exceeding, a likelihood of a favorable outcome as performed by a very experienced surgeon with the replacement procedure. Force sensing is included to aid in quantifying installation of an implant, particularly a cup into a pelvic bone.

The invention primarily relates to fastening and stabilizing tissues, implants, and/or bondable materials, such as the fastening of a tissue and/or implant to a bondable material, the fastening of an implant to tissue, and/or the fastening of an implant to another implant. This may involve using an energy source to bond and/or mechanically to stabilize a tissue, an implant, a bondable material, and/or other biocompatible material. The invention may also relate to the use of an energy source to remove and/or install an implant and/or bondable material or to facilitate solidification and/or polymerization of bondable material.

A system and method for allowing any surgeon, including those surgeons who perform a fewer number of a replacement procedure as compared to a more experienced surgeon who performs a greater number of procedures, to provide an improved likelihood of a favorable outcome approaching, if not exceeding, a likelihood of a favorable outcome as performed by a very experienced surgeon with the replacement procedure. Force sensing is included to aid in quantifying installation of an implant, particularly a cup into a pelvic bone.

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.

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.