Abstract:
A method for identifying and quantifying one or more analytes included in a sample comprising a background solvent is disclosed. The present invention locates a sample fluid at a sample region by virtue of a sample holder that comprises work-hardened silver halide The sample fluid at the sample region is then spectrally characterized via a mid-infrared spectrometer.
Abstract:
System and method for monitoring vital signs of a subject, such as a sleeping patient. A health monitoring device includes a thermal camera such as an uncooled microbolometer array, to monitor breathing, pulse, core temperature, and other vital signs. An audio sensor, e.g., microphone, may be used for monitoring patient respiratory sounds and other sounds. Further information such as pulse rate, PRV, blood pressure, breathing rate and oxygenation level are derived from these signals. The health monitoring device utilizes acquired signals and higher order data in analyzing patient conditions and behaviors. Higher order data include visual data based upon thermal camera signals and audio data based upon audio sensor signals. A processor is configured to output a health determination relating to one or more health parameters of the patient by inputting one or both of the visual data and the audio data into one or more machine learning models.
Abstract:
A method for identifying and quantifying one or more analytes included in a sample comprising a background solvent is disclosed. The present invention locates a sample fluid at a sample region by virtue of a sample holder that comprises work-hardened silver halide The sample fluid at the sample region is then spectrally characterized via a mid-infrared spectrometer.
Abstract:
A method for identifying and quantifying one or more analytes included in a sample comprising a background solvent is disclosed. The present invention locates a sample fluid at a sample region by virtue of a sample holder that comprises work-hardened silver halide. The sample fluid at the sample region is then spectrally characterized via a mid-infrared spectrometer.
Abstract:
A free-pass-through fluid-purification system is disclosed, wherein the system includes a pore-matrix membrane subtended between a pair of chambers of a manifold. The membrane includes a large open-fraction porous matrix that allows liquid to pass freely through; however, suspended matter having a physical cross-section larger than the size of the pores are blocked. In some embodiments, the cross-sections of the pores are made to be a small fraction of the cross-section of the suspended materials. In some embodiments, electrodes are included on the top and bottom surfaces of the membrane to enable deionization of the fluid.
Abstract:
System and method for monitoring vital signs of a subject, such as a sleeping patient. A health monitoring device includes a thermal camera such as an uncooled microbolometer array, to monitor breathing, pulse, core temperature, and other vital signs. An audio sensor, e.g., microphone, may be used for monitoring patient respiratory sounds and other sounds. Further information such as pulse rate, PRV, blood pressure, breathing rate and oxygenation level are derived from these signals. The health monitoring device utilizes acquired signals and higher order data in analyzing patient conditions and behaviors. Higher order data include visual data based upon thermal camera signals and audio data based upon audio sensor signals. A processor is configured to output a health determination relating to one or more health parameters of the patient by inputting one or both of the visual data and the audio data into one or more machine learning models.
Abstract:
System and method for monitoring vital signs of a subject, such as a sleeping patient. A health monitoring device includes a thermal camera such as an uncooled microbolometer array, to monitor breathing, pulse, core temperature, and other vital signs. An audio sensor, e.g., microphone, may be used for monitoring patient respiratory sounds and other sounds. Further information such as pulse rate, PRV, blood pressure, breathing rate and oxygenation level are derived from these signals. The health monitoring device utilizes acquired signals and higher order data in analyzing patient conditions and behaviors. Higher order data include visual data based upon thermal camera signals and audio data based upon audio sensor signals. A processor is configured to output a health determination relating to one or more health parameters of the patient by inputting one or both of the visual data and the audio data into one or more machine learning models.
Abstract:
A method for identifying and quantifying one or more analytes included in a sample comprising a background solvent is disclosed. The present invention locates a sample fluid at a sample region by virtue of a sample holder that comprises work-hardened silver halide. The sample fluid at the sample region is then spectrally characterized via a mid-infrared spectrometer.
Abstract:
System and method for monitoring vital signs of a subject, such as a sleeping patient. A health monitoring device includes a thermal camera such as an uncooled microbolometer array, to monitor breathing, pulse, core temperature, and other vital signs. An audio sensor, e.g., microphone, may be used for monitoring patient respiratory sounds and other sounds. Further information such as pulse rate, PRV, blood pressure, breathing rate and oxygenation level are derived from these signals. The health monitoring device utilizes acquired signals and higher order data in analyzing patient conditions and behaviors. Higher order data include visual data based upon thermal camera signals and audio data based upon audio sensor signals. A processor is configured to output a health determination relating to one or more health parameters of the patient by inputting one or both of the visual data and the audio data into one or more machine learning models.
Abstract:
System and method for monitoring vital signs of a subject, such as a sleeping patient. A health monitoring device includes a thermal camera such as an uncooled microbolometer array, to monitor breathing, pulse, core temperature, and other vital signs. An audio sensor, e.g., microphone, may be used for monitoring patient respiratory sounds and other sounds. Further information such as pulse rate, PRV, blood pressure, breathing rate and oxygenation level are derived from these signals. The health monitoring device utilizes acquired signals and higher order data in analyzing patient conditions and behaviors. Higher order data include visual data based upon thermal camera signals and audio data based upon audio sensor signals. A processor is configured to output a health determination relating to one or more health parameters of the patient by inputting one or both of the visual data and the audio data into one or more machine learning models.