A hearing prosthesis system, including a direct acoustic cochlear stimulator (DACS) sub-system, and an electrophysiology measurement sub-system, wherein at least a portion of the DACS sub-system and at least a portion of the electrophysiology measurement sub-system are configured to be permanently implanted in a recipient underneath skin of the recipient.

The present disclosure provides alert implants that comprise a medical device and an implantable reporting processor (IRP), where one example of such a medical device includes a component for a total knee arthroplasty (TKA) such as a tibial extension, a femoral component for hip replacements, a breast implant, a distal rod for arm or leg breakage repair, a scoliosis rod, a dynamic hip screw, a spinal interbody spacer, and tooling and methods that may be used to form the alert implant, and uses of such alert implants in the health maintenance of patients who receive the implant.

An orthopedic system to monitor a parameter related to the muscular-skeletal system is disclosed. The orthopedic system includes electronic circuitry, at least one sensor, and a computer to receive measurement data in real-time. The orthopedic system comprises a first plurality of shims of a first type, a second plurality of a second type, a measurement module, and the computer. The measurement module houses the electronic circuitry and at least one sensor. The measurement module is adapted to be used with the first plurality of shims and the second plurality of shims. The measurement module has a medial surface that differs from a lateral surface by shape, size, or contour.

A system for performing near infrared spectroscopy (NIRS) monitors tissue oxygenation and/or hemodynamics. The system comprises a sensor coupled to a controller and/or processing device. The sensor comprises a light source which is operable to emit light of various distinct wavelengths and a detector which is operable to collect corresponding backscattered light.

A method includes receiving respiration data associated with respiration of a user from a respiration monitoring device that is positioned inside the user adjacent to a thoracic cavity of the user. The method also includes determining, based at least in part on the respiration data associated with respiration of the user, a respiration signal for the user. The method also includes determining, based at least in part on the respiration signal, a predicted start time for a future inhalation of the user. The method also includes causing a stimulation device to provide electrical stimulation to one or more branches of a nerve of the user at the predicted start time, the stimulation device being positioned inside the user adjacent to a tongue of the user and being physically separated from the respiration monitoring device.

This disclosure is directed to techniques for recording and recognizing physiological parameter patterns associated with symptoms. A medical device system includes a medical device including an accelerometer configured to collect an accelerometer signal that indicates one or more patient movements that occur during a cough. Additionally, the medical device system includes processing circuitry configured to: determine whether the accelerometer signal satisfies a set of criteria corresponding to a cough pattern comprising a smooth increase from a baseline, then a sharp decrease, a peak within the sharp decrease, then a gradual return to the baseline; and identify a cough based on the determination that the accelerometer signal satisfies the set of criteria.

Medical implants including sensors are described. The implant may have a flexible shell with a base, wherein the plurality of sensors may be incorporated onto and/or into the shell. The plurality of sensors may be distributed at different locations of the shell. Each sensor of the plurality of sensors may be configured to measure one or more parameters such as, e.g., temperature and/or pressure, and may comprise an electromagnetic coil useful for wireless transmission of data. Each sensor may be configured to transmit data at a frequency different from the frequency of one or more of the other sensors, may be configured to transmit data at a time different from a time data is transmitted by one or more of the other sensors, and/or may include a device identifier different from the device identifier of one or more of the other sensors.

In one embodiment, an anatomical implant template has a template body having opposed first and second terminal ends. The template body bends so as to change the body from a first configuration, whereby the body extends from the first terminal end to the second terminal end along a first path, to a second configuration, whereby the body extends from the first terminal end to the second terminal end along a second path, different from the first path, the second path conforming more closely to the curvature of the at least one anatomical body. The body supports at least one device that outputs at least one signal from which a shape of the body in the second configuration can be ascertained. The anatomical implant template can further communicate the at least one signal to a computing device that generates signals for bending an anatomical implant.

Described herein is an implantable device configured to detect impedance characteristic of a tissue. In certain exemplary devices, the implantable device comprises (a) an ultrasonic transducer configured to emit an ultrasonic backscatter encoding information relating to an impedance characteristic of a tissue based on a modulated current flowing through the ultrasonic transducer; (b) an integrated circuit comprising (i) a variable frequency power supply electrically connected to a first electrode and a second electrode; (ii) a signal detector configured to detect an impedance, voltage, or current in a circuit comprising the variable frequency power supply, the first electrode, the second electrode, and the tissue; and (iii) a modulation circuit configured to modulate the current flowing through the ultrasonic transducer based on the detected impedance, voltage, or current; and the first electrode and the second electrode configured to be implanted into the tissue in electrical connection with each other through the tissue. Further described are systems including one or more implantable devices and an interrogator for operating the implantable device, methods of measuring impedance characteristic of a tissue in a subject, and methods of monitoring or characterizing a tissue in a subject.

Machine-learning techniques are used to train a classifier to predict auditory and language skills improvement in a patient who is a candidate for cochlear implantation (CI). One or more images of portions of the patient's brain are obtained, and quantitative data is extracted that represents the composition of one or more brain areas related to auditory and/or cognitive processing. For training of the classifier, data is obtained for previous CI patients whose improvement in language skills has been measured. Once trained, the classifier can be used to predict a likely degree of improvement in a prospective CI patient's auditory and language skills.