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.
Type:
Application
Filed:
December 1, 2023
Publication date:
March 21, 2024
Applicant:
Roc8Sci Co.
Inventors:
Frank Thomas HARTLEY, Charles Henry ROSS
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.
Type:
Application
Filed:
October 25, 2021
Publication date:
May 5, 2022
Applicant:
Roc8sci Co.
Inventors:
Frank Thomas HARTLEY, Charles Henry ROSS
Abstract: A sample holder that enables mid-infrared spectroscopy of a test sample using mid-infrared light is disclosed. The sample holder includes an inlet port and a sample chamber that comprises a sample region and a capillary channel that fluidically couples the inlet port and the sample region. The capillary channel is characterized by a higher capillary force than the sample region. As a result, when the inlet port is put in contact with a liquid containing the test sample, the liquid is drawn into the sample region without the formation of bubbles that could obscure the optical analysis. In some embodiments, the inlet port is the free end of a draw tube having an outer diameter that is smaller than the minimum spacing between pain receptors at a draw site on a patient, which mitigates pain felt by the patient due to insertion of the draw tube at the draw site.
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 method for identifying and quantifying one or more analytes included in a sample comprising a background solvent is disclosed. The present invention enables in-situ calibration and removal of the spectral signature of the background solvent from a composite spectrum so that the spectral features associated with the analyte(s) can be more easily and precisely identified. Further, the method enables estimation of the concentration of the analyte(s) by normalizing the spectrum based on the path length of the infrared radiation through the sample.