13 results about "Telemetry unit" patented technology

A medical device system is provided that includes an implantable medical device (IMD), an external server, and a clinician device, where the IMD includes a detection unit, a processing unit, and a telemetry unit. A detection unit of the IMD is configured to detect a plurality of parameters, and a processing unit of the IMD is configured to identify that the IMD is implanted in the patient based on at least one of the plurality of parameters. Further, the processing unit is configured to transmit at least one parameter of the plurality of parameters to an external server via the telemetry unit. The external server is configured to process at least one of the plurality of parameters and create a data set associated with the IMD and / or with the patient based on the at least one of the plurality of parameters. The data set includes at least one piece of information for making a decision associated with the IMD and / or associated with the patient. Further, the external server is configured to initiate transmission of the data set to the clinician device.

The invention relates to a telemetry unit (1) comprising a receiving interface (2) for receiving a data stream (3), the data stream (3) comprising at least time series data of at least one measurement signal (S), a first logic unit (L1) for processing the data stream (3) and a data storage device (4) for at least temporarily storing at least a partial content of the data stream (3) and / or data processed by the first logic unit (L1), wherein the first logic unit (L1) is configured to compress the data stream (3). The telemetry unit according to the invention is characterized in that a second logic unit (L2) is located downstream of the first logic unit (L1) in the direction of data flow; A third logic unit (L3) is located downstream of the second logic unit (L2) in the direction of data flow; and The third logic unit (L3) is downstream in the direction of data flow and is equipped to receive at least a partial content of a compressed data stream (3K) and / or at least a regression function and to transmit it to an external data processing device (6).

The disclosure concerns, inter alia, a medical data processing device (100, 110, 120), configured to receive or retrieve a pre-generated prediction function, the prediction function configured to determine a risk indicator (800) for a medical complication event associated with a patient during a hospitalization in an intensive care unit and / or an intermediate care unit and / or a telemetry unit of a first clinical site (601), in particular following a surgery, the pre-generated prediction function generated by training a machine learning model (701) using external training data (210) comprising patient data originating from one or more second clinical sites (602), the patient data comprising manually and / or automatically collected data of a set of measurement-based clinical parameters associated with a plurality of patients, the data comprising at least a subset of the clinical parameters collected with a plurality of different respective sampling frequencies; and assess (S420) the performance of the prediction function (S420) by generating at least one performance metric by using, as the input of the prediction function, local assessment data (320) comprising patient data originating from the first clinical site (601).

The invention provides a novel aircraft electronic equipment cabin. The novel aircraft electronic equipment cabin comprises a comprehensive control unit, an inertial measurement unit, a telemetering unit, a primary power supply unit, a flexible cable and a structural frame, the comprehensive control unit, the inertial measurement unit, the telemetering unit, the primary power supply unit and the flexible cable are respectively integrated and then mounted on the structural frame through fasteners; the space utilization rate of the electronic equipment cabin is improved through deep integration of equipment distributed in a scattered state in the aircraft; a traditional cable is replaced by the FPC flexible cable, and the FPC flexible cable penetrates through the whole complex electronic equipment cabin with narrow space and extremely high assembly density according to the characteristic that the FPC flexible cable can be dynamically bent, so that flexible interconnection of the system is realized; electromagnetic protection design is carried out from the whole cabin, and the electromagnetic protection difficulty is reduced.

There is provided a method and server for enabling an operator to identify a device suitable for an asset monitoring service. The system includes a telemetry unit, a user device, and a server. The telemetry unit includes a wireless transceiver configured to receive sensor data from an asset and make the telemetry unit detectable by mobile devices using an asset monitoring application. The user device uses the asset monitoring application to detect the telemetry unit when the user device is within communication range. The server, which is in communication with the mobile devices, receives data from the asset monitoring application, thereby establishing a suitability of the user device for the asset monitoring service at least with respect to the asset. The server processes the data pursuant to the suitability in order to communicate the sensor data or secondary data derived therefrom to the external device or to another user device.

Fluid infrastructure management systems and methods are described. An exemplary method includes: (1) obtaining, within a server and a remote telemetry unit, a digital twin model that provides one or more estimates of a flow attribute within a fluid infrastructure element; (2) receiving a forecast of an environmental condition around an area surrounding the sensor; (3) estimating, on the server and using the forecast and one of the digital twin models, the flow attribute to produce one or more estimated values ​​of the server flow attribute; (4) obtaining, using the sensor and at the remote telemetry unit, the sensor measurement of the flow attribute; and reporting one or more of the estimated values ​​of the server flow attribute as, or being, an estimate of the sensor measurement, if the server does not receive the sensor measurement from the remote telemetry unit.

An induction motor is includes a stator and a rotor configured for being rotated by the stator about a center axis The rotor includes a rotor bar assembly including a plurality of electrically conductive rotor bars. The motor also includes a telemetry device fixed to the rotor. The telemetry device is electrically connected to the rotor bar assembly and powered by a voltage difference along the rotor bar assembly during rotation of the rotor about the center axis. The rotor is rotated by a magnetic field of the stator inducing an electric current in the rotor bars. The motor also includes at least one sensor fixed to the rotor for measuring a parameter of the rotor. The telemetry device is configured for transmitting information representative of measurements of the at least one sensor to a controller located outside of the rotor.

A tamper-proof black box telemetry system 22 suitable for offshore wind cable (figure 1, 14) monitoring, comprises a plurality of telemetry or telematics units securely attached to offshore wind cables. Multiple sensor modules (figure 9, 34) are integrated within each telemetry or telematics unit 22 suitable for monitoring cable parameters, including temperature, strain, partial discharge, acoustic emissions, environmental conditions, six-axis vibration and orientation, and insulation resistance. Onboard microcontrollers are within each telemetry unit 22 for processing sensor data and encrypting it before transmission, as well as secure communication protocols for encrypted data transmission to a centralized monitoring system. Tamper-evident seals (figure 6A, 26), internal tamper detection sensors (figure 9, 34), and secure enclosures (figure 9, 32) are provided with each telemetry unit 22 to prevent unauthorized access or tampering.

The disclosure concerns, inter alia, a medical data processing device (100, 110, 120), configured to receive or retrieve a pre‐generated prediction function, the prediction function configured to determine a risk indicator (800) for a medical complication event associated with a patient during a hospitalization in an intensive care unit and / or an intermediate care unit and / or a telemetry unit of a first clinical site (601), in particular following a surgery, the pre‐generated prediction function generated by training a machine learning model (701) using external training data (210) comprising patient data originating from one or more second clinical sites (602), the patient data comprising manually and / or automatically collected data of a set of measurement‐based clinical parameters associated with a plurality of patients, the data comprising at least a subset of the clinical parameters collected with a plurality of different respective sampling frequencies; and assess (S420) the performance of the prediction function (S420) by generating at least one performance metric by using, as the input of the prediction function, local assessment data (320) comprising patient data originating from the first clinical site (601).

The present invention relates to a method (400) and system (100) for network planning. The system (100) includes a network planning unit (212) configured to identify coordinate positions of one or more devices, generate one or more clusters based on spatial proximity and a configurable node distance, and estimate the number of telemetry units (304) required for the one or more clusters. The network planning unit (212) identifies positions of the telemetry units (304) using clustering techniques, including centroid-based or density-based clustering algorithms. The method includes iterative refinement of the telemetry unit positions until optimal placements are achieved. The method (400) includes iterative refinement of the telemetry unit (304) positions. A user interface (UI) displays the final positions and generates a report for optimized network planning.

The application relates to a high-reliability multi-target real-time telemetry system and belongs to the field of communication. Each target telemetry unit takes a data integration device as a core, is additionally provided with a spread spectrum telemetry unit or a frequency modulation telemetry unit according to respective working task requirements, selects different frequency points and pseudo code combinations, and forms respective communication links; the data integration device is provided with a data link port and can realize self-organizing networking between different target telemetry units; the spread spectrum telemetry unit adopts a PCM-CDMA-BPSK spread spectrum telemetry system, distinguishes target addresses through code types, and allows signals to be sent to use the same frequency band at the same time. The frequency modulation telemetry unit adopts a PCM-FM system and TPC coding, and the frequency points and the frequency points selected by the spread spectrum telemetry unit keep a reliable interval. The application solves the problems of single telemetry system, limited communication unit quantity, large link interference and limited space environment of a traditional spacecraft.

A vehicle integrated unmanned aerial system is disclosed. The system may include a vehicle and an unmanned aerial vehicle (UAV). The vehicle may include a vehicle processor configured to obtain a vehicle telemetry information from a vehicle telemetry unit and a user input from a vehicle user. Further, the vehicle may include a transmitter that may be configured to transmit the vehicle telemetry information and the user input to the UAV. The UAV may include a UAV receiver configured to receive the vehicle telemetry information and the user input. Further, the UAV may include a UAV processor that may be configured to obtain the vehicle telemetry information and the vehicle user from the UAV receiver and predict a vehicle movement based on the vehicle telemetry information. The UAV processor may be further configured to maneuver the UAV based on the predicted vehicle movement and the user input.

A ventilation device comprising a respiratory gas source connectable to a patient interface and a control unit designed to specify at least two different ventilation modes, and in which the control unit is designed to automatically detect, select, and apply the various ventilation modes for at least some respiratory disturbances according to a current patient-specific need, characterized in that the device is equipped with an identification number that allows for unique identification in a network or when connected to a PC in order to assign stored information from a database, and in that the device is equipped with a telemetry unit for outpatient use and / or at the patient's home.wherein the control unit has an analyzer for detecting at least one artifact and wherein the analyzer is coupled to the control unit in such a way that, upon detection of the artifact, an erroneous pressure change specified by the adaptation unit is avoided, wherein the detection of an artifact is exploited by the fact that specific artifacts lead to typical influences on the measured respiratory parameter and wherein the corresponding typical temporal profiles of the respiratory parameter, which are assigned to a specific artifact, enable an automatic evaluation of the signal profile with regard to the respective profiles and thus a control-technical identification of the respective artifact and wherein corresponding specific artifacts recognizable in the signal profile are mouth expiration, mouth breathing, leakage, swallowing, speaking or coughing and upon automatic detection of such events,The pressure control is modified in such a way that those measurement parameters which are evaluated by the control unit for a pressure increase or a pressure decrease in a normal state and which can no longer be reliably evaluated when the respective artifact occurs are not taken into account by the control unit for the duration of the artifact's occurrence.