Abstract: Systems and methods of evaluating an association between a wireless sensor and a monitored patient include a plurality of peripheral electronic devices each having a wireless communication system and a sensor. A processor receives measured physiological parameter data from the peripheral electronic devices and establishes an association status between each of the peripheral electronic devices and the monitored patient based upon identified characteristics in the physiological parameter data.

Abstract: Wireless systems and methods include a plurality of peripheral electronic devices each having a wireless communication system. A processor is configured to establish an association confidence level indicative of a likelihood that a peripheral electronic device is associated to a monitored subject for each peripheral electronic device based on association criteria. Indicators are configured to communicate the association the association confidence level.

Abstract: Peripheral alarm device for a patient monitoring system. In an embodiment, the peripheral alarm device includes an audio speaker and an audio detector. The peripheral alarm device also includes a control system that includes circuitry configured to communicate with the audio detector and a medical software program executed by a host computing system. The audio speaker is configured to generate an audible alarm in response to alarm instructions from the host computing system. The audio detector is configured to communicate a detection signal to the control system. The control system is configured to analyze the detection signal to verify whether the audible alarm was properly generated and communicate a control signal to the host computing system. The peripheral alarm device may include a light indicator and a light detector instead of the audio speaker and the audio detector or in addition to the audio speaker and the audio detector.

Abstract: A method for wirelessly monitoring physiological data of a patient includes emitting a timing signal from a wireless emitter, receiving a timing signal at a receiver in a wireless patient monitor, recording physiological data from the patient over time at the wireless patient monitor, wherein the time is defined according to the timing signal, and transmitting the physiological data over a wireless network of a healthcare facility. Thereafter, physiological data recorded from two or more wireless patient monitors may be aligned in time according to the timing signal to create an aligned physiological representation for the patient.

Abstract: Techniques for wireless component monitoring are described herein. The techniques may include entering a low power mode to associate a radio frequency identification (RFID) component with a patient monitoring device within a first range. The techniques also include entering a high power mode wherein the patient monitoring device is to detect the RFID component within a second range of the patient monitoring device, wherein the second range is larger than the first range.

Abstract: Peripheral alarm device for a patient monitoring system. In an embodiment, the peripheral alarm device includes an audio speaker and an audio detector. The peripheral alarm device also includes a control system that includes circuitry configured to communicate with the audio detector and a medical software program executed by a host computing system. The audio speaker is configured to generate an audible alarm in response to alarm instructions from the host computing system. The audio detector is configured to communicate a detection signal to the control system. The control system is configured to analyze the detection signal to verify whether the audible alarm was properly generated and communicate a control signal to the host computing system. The peripheral alarm device may include a light indicator and a light detector instead of the audio speaker and the audio detector or in addition to the audio speaker and the audio detector.

Abstract: Wireless systems and methods include a plurality of peripheral electronic devices each having a wireless communication system. A processor is configured to establish an association confidence level indicative of a likelihood that a peripheral electronic device is associated to a monitored subject for each peripheral electronic device based on association criteria. Indicators are configured to communicate the association the association confidence level.

Abstract: Patient monitoring system includes a master unit. The master unit is configured to receive signal data of the patient from a plurality of acquisition devices. The master unit is also configured to receive a warning signal from a triggered acquisition device of the plurality of acquisition devices. The warning signal is communicated by the triggered acquisition device upon determining that corresponding physiological signals of the triggered acquisition device satisfy a designated condition. In response to receiving the warning signal from the triggered acquisition device, the master unit is configured to analyze the signal data from another acquisition device of the plurality of acquisition devices to determine whether the warning signal is clinically relevant or clinically irrelevant or unreliable. The master unit may permit a patient alarm or suppress the patient alarm based on the signal data from another acquisition device.

Abstract: Patient monitoring system includes a master unit. The master unit is configured to receive signal data of the patient from a plurality of acquisition devices. The master unit is also configured to receive a warning signal from a triggered acquisition device of the plurality of acquisition devices. The warning signal is communicated by the triggered acquisition device upon determining that corresponding physiological signals of the triggered acquisition device satisfy a designated condition. In response to receiving the warning signal from the triggered acquisition device, the master unit is configured to analyze the signal data from another acquisition device of the plurality of acquisition devices to determine whether the warning signal is clinically relevant or clinically irrelevant or unreliable. The master unit may permit a patient alarm or suppress the patient alarm based on the signal data from another acquisition device.

Abstract: Wireless systems and methods include a plurality of peripheral electronic devices each having a wireless communication system. A processor is configured to establish an association confidence level indicative of a likelihood that a peripheral electronic device is associated to a monitored subject for each peripheral electronic device based on association criteria. Indicators are configured to communicate the association the association confidence level.

Abstract: Techniques for wireless component monitoring are described herein. The techniques may include entering a low power mode to associate a radio frequency identification (RFID) component with a patient monitoring device within a first range. The techniques also include entering a high power mode wherein the patient monitoring device is to detect the RFID component within a second range of the patient monitoring device, wherein the second range is larger than the first range.

Abstract: Systems and methods of evaluating an association between a wireless sensor and a monitored patient include a plurality of peripheral electronic devices each having a wireless communication system and a sensor. A processor receives measured physiological parameter data from the peripheral electronic devices and establishes an association status between each of the peripheral electronic devices and the monitored patient based upon identified characteristics in the physiological parameter data.

Abstract: A processor and a system for automated provisioning of one or more wireless devices are provided. The processor includes one or more processing subsystems communicably coupled to a guest network. The one or more processing subsystems receive one or more input data signals corresponding to a service request from the wireless devices to connect to a secured backend network. The input data signals include a plurality of service connection parameters associated with the wireless devices. The service connection parameters are then authenticated with pre-stored data. Thereafter the input data signals are processed upon authentication to establish a secured communication link with the wireless devices. Subsequently a plurality of output signals corresponding to the service request to the wireless devices for automated provisioning to establish a connection with the secured backend network.

Abstract: Systems and methods of evaluating an association between a wireless sensor and a monitored patient include a plurality of peripheral electronic devices each having a wireless communication system and a sensor. A processor receives measured physiological parameter data from the peripheral electronic devices and establishes an association status between each of the peripheral electronic devices and the monitored patient based upon identified characteristics in the physiological parameter data.

Abstract: Techniques for wireless component monitoring are described herein. The techniques may include entering a low power mode to associate a radio frequency identification (RFID) component with a patient monitoring device within a first range. The techniques also include entering a high power mode wherein the patient monitoring device is to detect the RFID component within a second range of the patient monitoring device, wherein the second range is larger than the first range.

Abstract: Wireless systems and methods include a plurality of peripheral electronic devices each having a wireless communication system. A processor is configured to establish an association confidence level indicative of a likelihood that a peripheral electronic device is associated to a monitored subject for each peripheral electronic device based on association criteria. Indicators are configured to communicate the association the association confidence level.

Abstract: Wireless systems and methods include a plurality of peripheral electronic devices each having a wireless communication system. A processor is configured to establish an association confidence level indicative of a likelihood that a peripheral electronic device is associated to a monitored subject for each peripheral electronic device based on association criteria. Indicators are configured to communicate the association the association confidence level.

Abstract: A method for wirelessly monitoring physiological data of a patient includes emitting a timing signal from a wireless emitter, receiving a timing signal at a receiver in a wireless patient monitor, recording physiological data from the patient over time at the wireless patient monitor, wherein the time is defined according to the timing signal, and transmitting the physiological data over a wireless network of a healthcare facility. Thereafter, physiological data recorded from two or more wireless patient monitors may be aligned in time according to the timing signal to create an aligned physiological representation for the patient.

Abstract: Systems and methods of evaluating an association between a wireless sensor and a monitored patient include a plurality of peripheral electronic devices each having a wireless communication system and a sensor. A processor receives measured physiological parameter data from the peripheral electronic devices and establishes an association status between each of the peripheral electronic devices and the monitored patient based upon identified characteristics in the physiological parameter data.

Abstract: Wireless systems and methods include a plurality of peripheral electronic devices each having a wireless communication system. A processor is configured to establish an association confidence level indicative of a likelihood that a peripheral electronic device is associated to a monitored subject for each peripheral electronic device based on association criteria. Indicators are configured to communicate the association the association confidence level.