Methods, systems, and apparatuses for integrating medical device data are disclosed. In an example embodiment, a processor receives infusion therapy progress data that is generated by an infusion pump and renal failure therapy progress data that is generated by a renal failure therapy machine. The processor also receives physiological data that generated by at least one physiological sensor. The processor determines fluid balance data based on a difference between the infusion therapy progress data and the renal failure therapy progress data. The processor displays the fluid balance data in conjunction with hemodynamic information from the physiological data.

A field device includes: a current controller configured to operate with a first power supply voltage and output a control signal for controlling a current to be output to a transmission line; a current output unit configured to operate with a second power supply voltage different from the first power supply voltage, the current output unit being capable of outputting a current of a magnitude corresponding to the control signal output from the current controller to the transmission line; and an abnormality notification unit configured to output, to the current output unit, a first signal for causing the current output unit to output a burnout current indicating that an abnormality has occurred in a case in which an abnormality occurs in the first power supply voltage.

A sensor device includes an output driver configured to: adjust a first time interval of the output signal between a first signal edge of a first type and a first signal edge of a second type based on a first reference value; adjust a second time interval of the output signal between the first signal edge of the second type and a second signal edge of the first type based on a second reference value; adjust a third time interval of the output signal between the second signal edge of the first type and a second signal edge of the second type based on a first data value; and adjust a fourth time interval of the output signal between the second signal edge of the second type and a third signal edge of the first type based on a second data value.

A sensor device includes an output driver configured to: adjust a first time interval of the output signal between a first signal edge of a first type and a first signal edge of a second type based on a first reference value; adjust a second time interval of the output signal between the first signal edge of the second type and a second signal edge of the first type based on a second reference value; adjust a third time interval of the output signal between the second signal edge of the first type and a second signal edge of the second type based on a first data value; and adjust a fourth time interval of the output signal between the second signal edge of the second type and a third signal edge of the first type based on a second data value.

A thermostat for a building includes a light emitting diode (LED) system including one or more LEDs configured to emit light to illuminate a floor area beneath the thermostat. The thermostat incorporates an occupancy sensor to sense the approach of a user based on changes in conditions in proximity to the thermostat and detect an ambient light level. The thermostat includes a processing circuit configured to receive data outputs from the occupancy sensor, determine whether the data outputs indicate the approach of a user, cause the one or more LEDs to emit the light towards the floor in response to an indication that a user is approaching the thermostat based on occupancy sensor data correlated with occupancy conditions, and record and store LED activations and deactivations for later retrieval as historic data. The one or more LEDs may be configured as an illumination module removably attachable to the thermostat.

The present disclosure is related to agricultural devices, system, and methods, particularly for detecting and measuring plant stalks during harvest. The system may comprise a harvesting row unit, with a camera, a processing unit, and an in-cab display. The system may additionally include a stalk alignment guide, a leaf shield, an artificial light source, and/or a lens cleaning apparatus.

A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.

A detection device is connected to a plurality of communication devices by a communication line. The detection device has a reception unit, a measurement unit, and a detection unit. The reception unit receives signals with prescribed pulse widths transmitted from the plurality of communication devices, respectively. The measurement unit measures the pulse widths of the signals received by the reception unit. The detection unit is configured to detect the communication device disposed near a terminal end of the communication line as a terminal-end communication device on the basis of the plurality of pulse widths measured by the measurement unit.

A detection device is connected to a plurality of communication devices by a communication line. The detection device has a reception unit, a measurement unit, and a detection unit. The reception unit receives signals with prescribed pulse widths transmitted from the plurality of communication devices, respectively. The measurement unit measures the pulse widths of the signals received by the reception unit. The detection unit is configured to detect the communication device disposed near a terminal end of the communication line as a terminal-end communication device on the basis of the plurality of pulse widths measured by the measurement unit.

A system and method for data collection and aggregation using a distributed network of communications enabled sensors connected to another primary network to achieve a secondary out-of-band monitoring perspective, for example, in power grids. The data collection system includes an aggregation and processing server configured to collect data from a variety of sensors adjacent to the monitored network each sensor includes secondary power such that it can continue data transmission even during power grid outages. The data collection system includes a method for secure real-time data ingest, machine learning enabled analysis, risk assessment, and anomaly detection on a broad geographic scale irrespective of isolated network boundaries.