Abstract: Methods and systems for measuring one or more properties of a sample are disclosed. The methods and systems can include multiplexing measurements of signals associated with a plurality of wavelengths without adding any signal independent noise and without increasing the total measurement time. One or more levels of encoding, where, in some examples, a level of encoding can be nested within one or more other levels of encoding. Multiplexing can include wavelength, position, and detector state multiplexing. In some examples, SNR can be enhanced by grouping together one or more signals based on one or more properties including, but not limited to, signal intensity, drift properties, optical power detected, wavelength, location within one or more components, material properties of the light sources, and electrical power. In some examples, the system can be configured for optimizing the conditions of each group individually based on the properties of a given group.

Abstract: Methods and systems for measuring one or more properties of a sample are disclosed. The methods and systems can include multiplexing measurements of signals associated with a plurality of wavelengths without adding any signal independent noise and without increasing the total measurement time. One or more levels of encoding, where, in some examples, a level of encoding can be nested within one or more other levels of encoding. Multiplexing can include wavelength, position, and detector state multiplexing. In some examples, SNR can be enhanced by grouping together one or more signals based on one or more properties including, but not limited to, signal intensity, drift properties, optical power detected, wavelength, location within one or more components, material properties of the light sources, and electrical power. In some examples, the system can be configured for optimizing the conditions of each group individually based on the properties of a given group.

Abstract: Methods and systems for measuring one or more properties of a sample are disclosed. The methods and systems can include multiplexing measurements of signals associated with a plurality of wavelengths without adding any signal independent noise and without increasing the total measurement time. One or more levels of encoding, where, in some examples, a level of encoding can be nested within one or more other levels of encoding. Multiplexing can include wavelength, position, and detector state multiplexing. In some examples, SNR can be enhanced by grouping together one or more signals based on one or more properties including, but not limited to, signal intensity, drift properties, optical power detected, wavelength, location within one or more components, material properties of the light sources, and electrical power. In some examples, the system can be configured for optimizing the conditions of each group individually based on the properties of a given group.

Abstract: Methods and systems for measurement time distribution for referencing schemes are disclosed. The disclosed methods and systems can be capable of dynamically changing the measurement time distribution based on the sample signal, reference signal, noise levels, and SNR. The methods and systems can be configured with a plurality of measurement states, including a sample measurement state, reference measurement state, and dark measurement state. In some examples, the measurement time distribution scheme can be based on the operating wavelength, the measurement location at the sampling interface, and/or targeted SNR. Examples of the disclosure further include systems and methods for measuring the different measurement states concurrently. Moreover, the systems and methods can include a high-frequency detector to eliminate or reduce decorrelated noise fluctuations that can lower the SNR.

Abstract: Methods and systems for measuring one or more properties of a sample are disclosed. The methods and systems can include multiplexing measurements of signals associated with a plurality of wavelengths without adding any signal independent noise and without increasing the total measurement time. One or more levels of encoding, where, in some examples, a level of encoding can be nested within one or more other levels of encoding. Multiplexing can include wavelength, position, and detector state multiplexing. In some examples, SNR can be enhanced by grouping together one or more signals based on one or more properties including, but not limited to, signal intensity, drift properties, optical power detected, wavelength, location within one or more components, material properties of the light sources, and electrical power. In some examples, the system can be configured for optimizing the conditions of each group individually based on the properties of a given group.

Abstract: Methods and systems for measurement time distribution for referencing schemes are disclosed. The disclosed methods and systems can be capable of dynamically changing the measurement time distribution based on the sample signal, reference signal, noise levels, and SNR. The methods and systems can be configured with a plurality of measurement states, including a sample measurement state, reference measurement state, and dark measurement state. In some examples, the measurement time distribution scheme can be based on the operating wavelength, the measurement location at the sampling interface, and/or targeted SNR. Examples of the disclosure further include systems and methods for measuring the different measurement states concurrently. Moreover, the systems and methods can include a high-frequency detector to eliminate or reduce decorrelated noise fluctuations that can lower the SNR.

Abstract: Methods and apparatuses for the determination of an attribute of the tissue of an individual use non-invasive Raman spectroscopy. For example, the alcohol concentration in the blood or tissue of an individual can be determined. A portion of the tissue is illuminated with light, which propagates into the tissue where it is Raman scattered. The Raman scattered light is detected and can be combined with a model relating Raman spectra to alcohol concentration to determine the alcohol concentration in the blood or tissue. Correction techniques can reduce determination errors due to detection of light other than that from Raman scattering from the alcohol in the tissue. Other biologic information can be used with the Raman spectral properties to aid in the determination of alcohol concentration, for example age, height, weight, medical history and his/her family, ethnicity, skin melanin content, or a combination thereof.

Abstract: Methods and apparatuses for the determination of an attribute of the tissue of an individual use non-invasive Raman spectroscopy. For example, the alcohol concentration in the blood or tissue of an individual can be determined non-invasively. A portion of the tissue is illuminated with light, the light propagates into the tissue where it is Raman scattered within the tissue. The Raman scattered light is then detected and can be combined with a model relating Raman spectra to alcohol concentration in order to determine the alcohol concentration in the blood or tissue of the individual. Correction techniques can be used to reduce determination errors due to detection of light other than that from Raman scattering from the alcohol in the tissue.

Abstract: Methods and apparatuses for the determination of an attribute of the tissue of an individual use non-invasive Raman spectroscopy. For example, the alcohol concentration in the blood or tissue of an individual can be determined non-invasively. A portion of the tissue is illuminated with light, the light propagates into the tissue where it is Raman scattered within the tissue. The Raman scattered light is then detected and can be combined with a model relating Raman spectra to alcohol concentration in order to determine the alcohol concentration in the blood or tissue of the individual. Correction techniques can be used to reduce determination errors due to detection of light other than that from Raman scattering from the alcohol in the tissue.

Abstract: The present invention relates generally to a non-invasive method and apparatus for measuring a fluid analyte, particularly relating to glucose or alcohol contained in blood or tissue, utilizing spectroscopic methods. More particularly, the method and apparatus incorporate means for detecting and quantifying changes in the concentration of specific analytes in tissue fluid. Also, the method and apparatus can be used to predict future levels of analyte concentration either in the tissue fluid or in blood in an adjacent vascular system.

Abstract: An apparatus and method for non-invasive determination of attributes of human tissue by quantitative infrared spectroscopy. The system includes subsystems optimized to contend with the complexities of the tissue spectrum, high signal-to-noise ratio and photometric accuracy requirements, tissue sampling errors, calibration maintenance problems, and calibration transfer problems. The subsystems include an illumination subsystem, a tissue sampling subsystem, a spectrometer subsystem, a data acquisition subsystem, and a processing subsystem. The invention is applicable, as examples, to determining the concentration or change of concentration of alcohol in human tissue.

Abstract: The present invention relates generally to a non-invasive method and apparatus for measuring a fluid analyte, particularly relating to glucose or alcohol contained in blood or tissue, utilizing spectroscopic methods. More particularly, the method and apparatus incorporate means for detecting and quantifying changes in the concentration of specific analytes in tissue fluid. Also, the method and apparatus can be used to predict future levels of analyte concentration either in the tissue fluid or in blood in an adjacent vascular system.

Abstract: The present invention provides methods and devices for using feedback to improve non-invasive tissue measurements by making measurements faster, easier to perform, and less error prone. In some embodiments, a set of metrics is identified as measurable potential sources of measurement error that can be controlled by a user. In some embodiments, the set of metrics can be analyzed to determine which metrics are related to one another, and some possible error metrics can be discarded, and others used as surrogate metrics for measuring and monitoring measurement errors.

Abstract: The present invention relates generally to a non-invasive method and apparatus for measuring a fluid analyte, particularly relating to glucose or alcohol contained in blood or tissue, utilizing spectroscopic methods. More particularly, the method and apparatus incorporate means for detecting and quantifying changes in the concentration of specific analytes in tissue fluid. Also, the method and apparatus can be used to predict future levels of analyte concentration either in the tissue fluid or in blood in an adjacent vascular system.