Abstract: A device may receive a master data set for a first spectroscopic model; receive a target data set for a target population associated with the first spectroscopic model to update the first spectroscopic model; generate a training data set that includes the master data set and first data from the target data set; generate a validation data set that includes second data from the target data set and not the master data set; generate, using cross-validation and using the training data set and the validation data set, a second spectroscopic model that is an update of the first spectroscopic model; and provide the second spectroscopic model.

Abstract: In some implementations, a device may determine that an unknown sample is an outlier sample by using an aggregated classification model. The device may determine that one or more spectroscopic measurements are not performed accurately based on determining that the unknown sample is the outlier sample. The device may cause one or more actions based on determining the one or more spectroscopic measurements are not performed accurately.

Abstract: A device may receive a master data set for a first spectroscopic model; receive a target data set for a target population associated with the first spectroscopic model to update the first spectroscopic model; generate a training data set that includes the master data set and first data from the target data set; generate a validation data set that includes second data from the target data set and not the master data set; generate, using cross-validation and using the training data set and the validation data set, a second spectroscopic model that is an update of the first spectroscopic model; and provide the second spectroscopic model.

Abstract: A device may obtain absorption spectra data associated with tissue of a subject. The device may determine, based on the absorption spectra data, an estimate of a water content associated with the tissue. The device may determine, based on the estimate of the water content, an estimate of a hydration level of the subject. The device may perform one or more actions based on the estimate of the hydration level of the subject.

Abstract: A device may identify a peak timestamp and a trough timestamp based on a first principal component of photoplethysmography (PPG) data associated with a plurality of wavelength channels. The device may generate a peak absorption spectrum based on the peak timestamp and the PPG data, and may generate a trough absorption spectrum based on the trough timestamp and the PPG data. The device may determine a measured arterial blood spectrum based on the peak absorption spectrum and the trough absorption spectrum. The device may fit the arterial blood spectrum model to the measured arterial blood spectrum to determine a set of values, each value in the set of values corresponding to a variable in a set of variables. The device may calculate an arterial oxygen saturation value based on one or more values of the set of values.

Abstract: A device may determine end-of-phase information for a plurality of wavelength channels of photoplethysmography (PPG) data. The device may calculate a set of baseline correction points for each wavelength channel of the plurality of wavelength channels. The set of baseline correction points may be calculated based on end-of-phase information for a wavelength channel of the plurality of wavelength channels and PPG data associated with the wavelength channel. The device may perform a baseline correction for each wavelength channel of the plurality of wavelength channels. A baseline correction may be performed for the wavelength channel based on the set of baseline correction points associated with the wavelength channel and the PPG data associated with the wavelength channel. The device may generate a baseline corrected heartbeat profile using a principal component analysis of a result of baseline correcting each wavelength channel of the plurality of wavelength channels.

Abstract: A device may receive a master data set for a first spectroscopic model; receive a target data set for a target population associated with the first spectroscopic model to update the first spectroscopic model; generate a training data set that includes the master data set and first data from the target data set; generate a validation data set that includes second data from the target data set and not the master data set; generate, using cross-validation and using the training data set and the validation data set, a second spectroscopic model that is an update of the first spectroscopic model; and provide the second spectroscopic model.

Abstract: A method and system of monitoring for chemical or other toxic agents includes operating a plurality of first type sensors having a first level of sensitivity to an agent in a monitored area. Concurrently a second type sensor is operated having a second level of sensitivity to the agent in the monitored area, where the second level of sensitivity is at least ten times more sensitive than the first level of sensitivity. Input from the plurality of first type sensors and the second type sensor is received and analyzed, at a central location, in order to determine the presence of the agent in the monitored area.

Abstract: A method and system of monitoring for chemical or other toxic agents includes operating a plurality of first type sensors having a first level of sensitivity to an agent in a monitored area. Concurrently a second type sensor is operated having a second level of sensitivity to the agent in the monitored area, where the second level of sensitivity is at least ten times more sensitive than the first level of sensitivity. Input from the plurality of first type sensors and the second type sensor is received and analyzed, at a central location, in order to determine the presence of the agent in the monitored area.

Abstract: A method and system of monitoring for chemical or other toxic agents includes operating a plurality of first type sensors having a first level of sensitivity to an agent in a monitored area. Concurrently a second type sensor is operated having a second level of sensitivity to the agent in the monitored area, where the second level of sensitivity is at least ten times more sensitive than the first level of sensitivity. Input from the plurality of first type sensors and the second type sensor is received and analyzed, at a central location, in order to determine the presence of the agent in the monitored area.

Abstract: The present invention provides methods for fabricating a sensor on a substrate having a pair of electrodes. The methods are especially amenable to broad variations amongst individual sensor on a single substrate. The intra-sensor variation within the array can be achieved in various fashions. The method provide intra-sensor variation using quantitative and qualitative differences in each sensor.

Abstract: A system for monitoring an industrial process and taking action based on the results of process monitoring. Actions taken may include process control, paging, voicemail, and input for e-enterprise systems. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters. Additionally, the system includes an output module for outputting a result based upon the training set and the plurality of parameters.

Abstract: Chemical and biological detector systems, devices and apparatus. Such devices may be portable and wearable, such as badges, that are analyte-general, rather than analyte-specific, and which provide an optimal way to notify and protect personnel against known and unknown airborne chemical and biological hazards. The devices of the present invention are advantageously low-cost, have low-power requirements, may be wearable and are designed to detect and alarm to a general chemical and biological threat. A sensor device of the present invention in one embodiment includes two or more sensor devices, a processing module coupled to each of the sensor devices and configured to process signals received from each of the two or more sensor devices to determine an environmental state; and a communication module that communicates information about the environmental state to a user.

Abstract: A system for monitoring an industrial process and taking action based on the results of process monitoring. Actions taken may include process control, paging, voicemail, and input for e-enterprise systems. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters. Additionally, the system includes an output module for outputting a result based upon the training set and the plurality of parameters.

Abstract: The present invention is related to the sensing of analytes and in particular, to methods of determining, resolving, identifying, or quantitating such analytes once detected. This invention provides systems and methods for identifying analytes, comprising using an importance index to give greater weight to the responses from sensors that measure characteristics most useful for identification of analytes. In other aspects, the systems and methods are useful for increasing the stability of electronic nose systems by prolonging the predictive capability of the training set of known analytes. In still other aspects, the systems and methods are useful for detecting and responding to events correlated with the presence of an analyte.

Abstract: Portable and wearable chemical detector devices, such as badges, that are analyte-general, rather than analyte-specific, and which provide an optimal way to notify and protect personnel against known and unknown airborne chemical hazards. The devices are advantageously low-cost, have low-power requirements, may be wearable and are designed to detect and alarm to a general chemical threat. A sensor device includes two or more sensor devices, a processing module coupled to each of the sensor devices and configured to process signals received from each of the two or more sensor devices to determine an environmental state; and a communication module that communicates information about the environmental state to a user.

Abstract: A method for controlling an industrial process. The method includes outputting a plurality of parameters from a process for manufacture of a substance. The method also uses each of the plurality of parameters in a computer aided process, which compares at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. A step of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters also is included. Additionally, the method includes outputting a result based upon the determining step.

Abstract: Methods and systems are provides for measuring multi-dimensional sensing information for identification purposes. The identity of one or more substances is determined through analysis of multidimensional data that can include, among others, intrinsic information as well as extrinsic information. The method for identification of a substance comprises utilizing pattern recognition to form descriptors to identify characteristics of the substance. A system and computer program for performing analysis of the multidimensional data are also described.

Abstract: A system for controlling an industrial process. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters.

Abstract: Methods and systems are provides for measuring multi-dimensional sensing information for identification purposes. The identity of one or more substances is determined through analysis of multidimensional data that can include, among others, intrinsic information as well as extrinsic information. The method for identification of a substance comprises utilizing pattern recognition to form descriptors to identify characteristics of the substance. A system and computer program for performing analysis of the multidimensional data are also described.