The present disclosure provides methods of identifying a loosened joint implant by analyzing acoustic emissions from the implant. The present disclosure further provides apparatuses for measuring acoustic data and analyzing acoustic emissions from a joint implant.

A sensor data correction system, includes: a standard motion mechanism unit for performing a standard motion of a wearable sensor; a determination unit calculating a relationship between first sensor data that is sensed by a first wearable sensor provided with the standard motion mechanism unit and second sensor data that is sensed by a second wearable sensor provided with the standard motion mechanism unit; and a correction unit correcting the first sensor data or the second sensor data, on the basis of the relationship that is calculated by the determination unit.

A prediction device includes: a communication device that acquires measurement subject data including measurement data of a shape of a foot of a measurement subject person in a loaded state; a storage that stores first sample data in the loaded state and second sample data in an unloaded state, the first sample data and the second sample data being calculated from measurement data of foot shapes of a plurality of samples, the samples being identical both in the loaded state and the unloaded state; and a processor that predicts the shape of the foot of the measurement subject person in the unloaded state. The processor calculates a difference between the measurement subject data and the first sample data, and predicts the shape of the foot of the measurement subject person in the unloaded state based on the difference and the second sample data.

Disclosed herein is a gait analysis apparatus that is configured to provide multidimensional measures of the gait of an individual as the individual traverses the gait analysis apparatus. The gait analysis apparatus may be configured to provide a gait measuring processing device with the multidimensional measurements. Based on the multidimensional measurements, the gait measuring process device may, for example, diagnose the test subject with lameness or particular neuromuscular dysfunctions (NM) disease and/or injury, monitor progression of lameness or a particular NM disease and/or injury over time, determine a static weight as the test subject is traversing, monitor the static weight of the test subject over an extended period time, and/or determine which measurements may be used as biomarkers to identify lameness or the particular NM disease and/or injury. A system including a gait analysis apparatus is also disclosed.

Systems and methods are disclosed for recommending products or services by receiving a three-dimensional (3D) model of one or more products; performing motion tracking and understanding an environment with points or planes and estimating light or color in the environment; and projecting the product in the environment.

A system for control of a device includes at least one sensor module detecting orientation of a user's body part. The at least one sensor module is in communication with a device module configured to command an associated device. The at least one sensor module detects orientation of the body part. The at least one sensor module sends output signals related to orientation of the user's body part to the device module and the device module controls the associated device based on the signals from the at least one sensor module.

A measurement device suitable to measure a force, pressure, or load applied by the muscular-skeletal system is disclosed. The measurement module includes a unitary circuit board that couples electronic circuitry to sensors. In one embodiment, the sensors are integrated in the unitary circuit board. Using more than one sensor allows the position of applied load by the muscular-skeletal system to be measured. In one embodiment, the sensors of a sensor array can be elastically compressible capacitors. A load plate can underlie the sensor array. Similarly, a load plate can overlie the load plate. Load plates are rigid structures for distributing a force, pressure, or load. The measurement device can include an articular surface for allowing movement of the muscular-skeletal system. A remote system can be in proximity to the measurement device. The remote system can receive, process, and display data from the measurement module in real-time.

A multi-functional table is provided. The multi-functional table includes at least one plate, at least one support part connected to the at least one plate and adjusting a height of each of the at least one plate, a communication part receiving user information from a user terminal, and a controller part controlling operations of the at least one support part in response to the user information which is received from the communication part.

A load balance and alignment system is provided to assess load forces on the vertebra in conjunction with overall spinal alignment. The system includes a spine instrument having an electronic assembly and a sensorized head. The sensorized head can be inserted between vertebra and report vertebral conditions such as force, pressure, orientation and edge loading. A GUI is therewith provided to show where the spine instrument is positioned relative to vertebral bodies as the instrument is placed in the inter-vertebral space. The system can report optimal prosthetic size and placement in view of the sensed load and location parameters including optional orientation, rotation and insertion angle along a determined insert trajectory.

An elastic strain sensor can be incorporated into an artificial skin that can sense flexing by the underlying support structure of the skin to detect and track motion of the support structure. The uni-directional elastic strain sensor can be formed by filling two or more channels in an elastic substrate material with a conductive liquid. At the ends of the channels, a loop port connects the channels to form a serpentine channel. The channels extend along the direction of strain and the loop portions have sufficiently large cross-sectional area in the direction transverse to the direction of strain that the sensor is unidirectional. The resistance is measured at the ends of the serpentine channel and can be used to determine the strain on the sensor. Additional channels can be added to increase the sensitivity of the sensor. The sensors can be stacked on top of each other to increase the sensitivity of the sensor. In other embodiments, two sensors oriented in different directions can be stacked on top of each other and bonded together to form a bidirectional sensor. A third sensor formed by in the shape of a spiral or concentric rings can be stacked on top and used to sense contact or pressure, forming a three dimensional sensor. The three dimensional sensor can be incorporated into an artificial skin to provide advanced sensing.