Abstract:
A cloud-based physiological monitoring system has a sensor in communications with a living being so as to generate a data stream generally responsive to a physiological condition of the living being. A monitor receives the data stream from the sensor and transmits the data stream to a cloud server. The cloud server processes the data stream so as to derive physiological parameters having values responsive to the physiological condition. The cloud server derives a medical index based upon a combination of the physiological parameters. The cloud server communicates the medical index to the monitor, which displays the medical index.
Abstract:
A blood glucose calibration system has a noninvasive sensor that attaches to a person's tissue site so as to generate multi-stream physiological data responsive to that person's blood constituents. Composite parameters, each in the form of a mathematical combination of invasive blood panel parameters, are derived from a general population and are responsive to the multi-stream physiological data. A population-based, blood glucose estimate for that person is derived from a weighted and scaled combination of these composite parameters. An individualized blood glucose estimate is then derived from the population-based blood glucose estimate and intermittent invasive test strip measurements of that particular individual.
Abstract:
A patient monitor capable of measuring microcirculation at a tissue site includes a light source, a beam splitter, a photodetector and a patient monitor. Light emitted from the light source is split into a reference arm and a sample arm. The light in the sample arm is directed at a tissue site, such as an eyelid. The reflected light from the tissue site is interfered with the light from the reference arm. The photodetector measures the interference of the light from both the sample arm and the reference arm. The patient monitor uses the measurements from the photodetector to calculate the oxygen saturation at the tissue site and monitor the microcirculation at the tissue site.
Abstract:
A calibration system is disclosed for calibrating a first physiological monitoring device using a second physiological monitoring device. The first physiological monitor measures a first indication of a physiological parameter. The second physiological monitor measures a second indication of the physiological parameter. The first and second indications are used to calibrate the first physiological monitoring device.
Abstract:
A patient monitoring system includes an inflatable cuff, a gas reservoir containing a compressed gas, and a sensor. When the inflatable cuff is coupled to a wearer, the gas reservoir supplies gas to the inflatable cuff to inflate the inflatable cuff via gas pathways. As the inflatable cuff inflates, a patient monitor can receive blood pressure data from the sensor and use the blood pressure data to determine the blood pressure of the wearer. The patient monitor can also receive blood pressure data during deflation of the inflatable cuff to determine the blood pressure of the wearer.
Abstract:
This disclosure describes, among other features, systems and methods for customizing calibration curves, parameter algorithms, and the like to individual users. An initial calibration curve generated based on a population can be used as a starting point in an algorithm for measuring a physiological parameter such as glucose. The measurement algorithm can determine one or more initial measurement values for a user based on the initial calibration curve. In certain embodiments, one or more alternative measurements, such as invasive or minimally invasive measurements, can periodically or sporadically be input into the measurement algorithm. The algorithm can use the alternative measurements to adapt the calibration curve to the individual. As a result, measurements for the individual can more accurately reflect the individual's actual parameter values.
Abstract:
A system is disclosed for detecting and calculating the level of ambient and/or environmental noise, such as electromagnetic interference generated by electric power lines, ambient lights, light dimmers, television or computer displays, power supplies or transformers, and medical equipment. In some embodiments, the system performs frequency analysis on the interference signal detected by light photodetectors and determines the power of the interference signal concentrated in the analyzed frequency bands. The worst-case interference level can be determined by selecting the maximum from the computed power values. In some embodiments, the determined interference signal power can be compared with the noise tolerance of a patient monitoring system configured to reliably and non-invasively detect physiological parameters of a user. The results of the comparison can be presented to the user audio-visually. In some embodiments, the system can be used to perform spot check measurements of electromagnetic interference.
Abstract:
The present disclosure provides an electronic device that includes at least one sensor indicative of a physiological condition of a user, the at least one sensor worn by a patient. The electronic device can further include a location determination module configured to determine a location of a patient. The electronic device can receive a measured information from the sensor and determine if the physiological condition of the user indicates an urgent medical need. When the physiological condition of the user indicates an urgent medical need, the electronic device can contact emergency services and access and contact one or more of a contact in an electronic address book associated with the processing system. The electronic device can provide a location of the user based on information determined by the location determination module.
Abstract:
A physiological measurement system has a sensor, a processor, a communications link and information elements. The sensor is configured to transmit light having a plurality of wavelengths into a tissue site and to generate a sensor signal responsive to the transmitted light after tissue attenuation. The attenuated light can be used by the system to determine a plurality of physiological measurements. The processor is configured to operate on the sensor signal so as to derive at least one physiological parameter after which of the plurality of physiological measurements the system is configured to or capable of measuring.
Abstract:
A system is disclosed for detecting and calculating the level of ambient and/or environmental noise, such as electromagnetic interference generated by electric power lines, ambient lights, light dimmers, television or computer displays, power supplies or transformers, and medical equipment. In some embodiments, the system performs frequency analysis on the interference signal detected by light photodetectors and determines the power of the interference signal concentrated in the analyzed frequency bands. The worst-case interference level can be determined by selecting the maximum from the computed power values. In some embodiments, the determined interference signal power can be compared with the noise tolerance of a patient monitoring system configured to reliably and noninvasively detect physiological parameters of a user. The results of the comparison can be presented to the user audio-visually. In some embodiments, the system can be used to perform spot check measurements of electromagnetic interference.