A patient monitoring system, including: a bone plate configured to be secured to a bone; a plurality of sensors on the bone plate configured to: measure a parameter; transmit a data signal communicating the measured parameter value; and wherein the transmitted data signals from the plurality of sensors are time division multiplexed; and an external wireless reader including an antenna, a processor, and wireless communication radio, wherein the external wireless reader is configured to: transmit an modulated RF signal; and receive the time division multiplexed transmitted data signals from the plurality of sensors.

A drill bit (20, 420, 520, 620, 720, 820, 920, 1020) is provided that includes a connector (32, 232, 532, 632, 732, 832, 932, 1032), which includes a shank (34), configured to receive torque; a proximal electrically-conductive coupler (36, 436, 536, 636, 736, 836, 936, 1036), which is disposed at a distal end (28) of the shank (34), rotationally fixed with respect to the shank (34); and a distal electrically-conductive coupler (38, 238, 438, 538, 838, 738, 838, 938, 1038). The distal electrically-conductive coupler is rotationally fixed with respect to the proximal electrically-conductive coupler, electrically isolated from the proximal electrically-conductive coupler, and shaped so as to define a distal-electrically-conductive external contact surface (62, 862, 962, 1062). The drill bit further includes a drill shaft (30, 130, 230, 330, 430, 830) including an electrically-conductive outer electrode (44) and an electrically-conductive inner electrode (46, 146, 246, 346, 846). Other embodiments are also described.

A computer system receives readings from sensors embedded in a spinal implant implanted in a patient during surgery. The sensor readings are indicative of a load applied by a spine of the patient on the spinal implant. The load causes physical discomfort to the patient. A feature vector is extracted from the implant sensor readings using a machine learning module. The feature vector is indicative of the physical discomfort caused by the load. Electrical signals are generated using the machine learning module based on the feature vector. The machine learning module is trained based on patient data sets to generate the electrical signals to balance the load, such that the physical discomfort is reduced. The electrical signals are transmitted to one or more actuators embedded in the spinal implant to cause the one or more actuators to configure the spinal implant, such that the load is balanced.

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 surgical sensor system for collecting internal patient data comprises a sensor module comprising a housing and a sensor disposed within the housing, and an attachment device comprising a socket for receiving the housing and an exterior anchor feature for attaching the attachment device to biological matter. A method of implanting a sensor module for use with an orthopedic implant device comprises making an insertion portal in anatomy of a patient, positioning a sensor module in the anatomy in a first position relative to the insertion portal, and positioning an orthopedic implant in the anatomy in a second position relative to the insertion portal such that the orthopedic implant is separate from the sensor module.

An energy transfer system includes a spinal implant having an antenna, an antenna extender attached to a portion of the spinal implant in proximity to the antenna, and a reader device configured to send energy to the spinal implant via the antenna extender. The antenna extender extends away from the spinal implant. The spinal implant is configured to be positioned within a spinal area of a patient.

Disclosed herein is an endoprosthetic spacer (100, 200, 300) for administering a therapeutic treatment, in particular a theragnostic treatment. The endoprosthetic spacer (100, 200, 300) comprises a body (102) that is configured to replace at least a part of a bone, a sensor assembly (104) comprising at least one sensor (104A, 104B, 104C), a communication module (108) configured to transmit a signal; and a controller (106) configured to read out a sensor signal from the at least one sensor (104A, 104B, 104C) and to transmit an output signal (110) via the communication module (108).

A device and a method for acquiring brain electrical signal. The device for acquiring brain electrical signal includes a plurality of electrodes and an electrode base. The electrode base is provided with a plurality of screw holes, and each of the plurality of electrodes passes through a corresponding screw hole of the plurality of screw holes.

Systems and methods to monitor and track the treatment of bones using a bone correction system are provided. The method includes implanting growth modulating implants of a bone correction system in two or more bones of a patient. Each growth modulating implant includes an implant body having at least one sensor device embedded in the implant body. The method includes receiving sensor data from the sensor devices and determining an operational status of the growth modulating implants, based on the received sensor data. The method includes determining, by the processor, a longitudinal growth or growth rate between the two or more bones, based on the received sensor data and causing a display device to selectively display a graphical user interface (GUI) representative of at least one of the longitudinal growth and the growth rate of the patient.

A universal low-profile intercranial assembly includes a mounting plate and a low profile intercranial device composed of a static cranial implant and an interdigitating functional neurosurgical implant. The low profile intercranial device is shaped and dimensioned for mounted to the mounting plate.