Abstract: The present invention is a freeze dryer that contains attachments, accessories, and equipment to assist cannabis cultivators in the drying and curing process of their cannabis produce. The present invention comprises a flexible filter assembly surrounding a vacuum release valve, that helps filter out any pollutants or harmful substances from reaching the cannabis produce. Further, the present invention eliminates the need to periodically remove the cannabis produce for inspection, by attaching moisture probes, temperature sensors, weight scales, and cannabis analyzer within the freeze dryer, and integrating the values obtained from these equipment into a display panel on the freeze dryer. Furthermore, the present invention includes a blackout panel for maintaining darkness inside the specimen chamber, as well as a collapsible worktable for additional utility.

Abstract: The present application relates to power converters, particularly switch mode power converters sharing a load in which the converters are operated to share stresses between them. The application provides a controller (108) in which a stress share control loop (108a, 108b) is provided to ensure the associated converter is operating at an average stress. The stress share control loop has a proportional and an integral term in its feedback path. The integral term may be enabled or disabled. In use, the integral term is enabled in all but one controller.

Abstract: The present application relates to power converters, particularly switch mode power converters sharing a load in which the converters are operated to share stresses between them. The application provides a controller (108) in which a stress share control loop (108a, 108b) is provided to ensure the associated converter is operating at an average stress. The stress share control loop has a proportional and an integral term in its feedback path. The integral term may be enabled or disabled. In use, the integral term is enabled in all but one controller.

Abstract: An apparatus for diagnosing sleep apnea only uses an electrocardiogram signal and a computer processor and associated computer code that are configured to analyze the electrocardiogram signal and classify each time period of the electrocardiogram signal as either apneic or normal. A diagnostic measure of sleep apnea for the human patient is provided based on classification results obtained by combining a results for various electrocardiogram signal time periods. A computer-readable medium has computer code that causes the computer to analyze an electrocardiogram signal relating to the human patient and classify each time period in a set of time periods as either apneic or normal. A diagnostic measure of sleep apnea is provided based on classification results obtained by combining a plurality of results from the set of time periods using either time or frequency domain processing, or both.

Abstract: An apparatus for diagnosing sleep apnea only uses an electrocardiogram signal and a computer processor and associated computer code that are configured to analyze the electrocardiogram signal and classify each time period of the electrocardiogram signal as either apneic or normal. A diagnostic measure of sleep apnea for the human patient is provided based on classification results obtained by combining a results for various electrocardiogram signal time periods. A computer-readable medium has computer code that causes the computer to analyze an electrocardiogram signal relating to the human patient and classify each time period in a set of time periods as either apneic or normal. A diagnostic measure of sleep apnea is provided based on classification results obtained by combining a plurality of results from the set of time periods using either time or frequency domain processing, or both.

Abstract: There is provided a method of determining a diagnostic measure of sleep apnea including the following steps: acquiring an electrocardiogram signal, calculating a set of RR intervals and electrocardiogram-derived respiratory signal from said electrocardiogram, and hence calculating a set of spectral and time-domain measurements over time periods including power spectral density, mean, and standard deviation. These measurements are processed by a classifier model which has been trained on a pre-existing data base of electrocardiogram signals to provide a probability of a specific time period containing apneic episodes or otherwise. These probabilities can be combined to form an overall diagnostic measure. The system also provides a system and apparatus for providing a diagnostic measure of sleep apnea.

Abstract: There is provided a method of determining a diagnostic measure of sleep apnea including the following steps: acquiring an electrocardiogram signal, calculating a set of RR intervals and electrocardiogram-derived respiratory signal from said electrocardiogram, and hence calculating a set of spectral and time-domain measurements over time periods including power spectral density, mean, and standard deviation. These measurements are processed by a classifier model which has been trained on a pre-existing data base of electrocardiogram signals to provide a probability of a specific time period containing apneic episodes or otherwise. These probabilities can be combined to form an overall diagnostic measure. The system also provides a system and apparatus for providing a diagnostic measure of sleep apnea.