Abstract: The present disclosure includes a method for vaporizing a product of a plurality of different products including receiving, by a processor of a vaporizing device, a desired dosage amount that is indicative of an amount of a compound to release during one or more inhalation events. The method includes determining, by the processor, an occurrence of a current inhalation event and during the current inhalation event determining, by the processor, an inhalation pressure being applied to a container that contains the product; determining, by the processor, a predicted dosage that is indicative of a predicted amount of the compound that has been released in the vapor during the current inhalation event based on the inhalation pressure; and selectively adjusting, by the processor, a vaporizing temperature being applied to the product by the vaporizer based on the desired dosage and the predicted dosage.

Abstract: One or more wearable devices may measure real-time blood pressure in a body using signals from multiple sensors including but not limited to a multi-axis accelerometer, a bioimpedance (BI) sensor, a capacitive touch sensor, an electrocardiography sensor (ECG), a ballistocardiograph sensor (BCG), a photoplethysmogram (PPG), a pulse oximetery sensor, and a phonocardiograph sensor (PCG), for example. Accelerometry data (e.g., from a multi-axis accelerometer or BCG sensor) may be used to derive effects of acceleration (e.g., gravity) on changes in blood pressure (e.g., due to changes in blood volume as measured using BI signals). The accelerometry data may be used to determine a baseline value for BI voltage signals that are indicative of diastolic and systolic blood pressure (e.g., in mmHg). Combinations of methods, such as BCG, ECG, PPG, blood pressure Pulse Wave and others may be used to determine pulse transit time (PTT), pulse arrival time (PAT), and pre-ejection period (PET).

Abstract: A strap band including a flexible wire bus having electrodes and wires coupled with the electrodes is described. The strap band may be coupled with a device that includes circuitry configured to drive signals on some of the electrodes and receive signals from pickup electrodes. Driven electrodes are coupled with drive signals at different frequencies that may be varied to increase or decrease signal penetration depth to sense different body structures positioned at different depths in a body portion be sensed. Different frequencies for different types of measurements may be selected to optimize sensing different biometric parameters, such as bio-impedance, galvanic skin response, hear rate, respiration, heart rate variability, hydration, inflammation, stress, and arousal in sympathetic nervous system at different depths (e.g., layers or strata) in the body portion, for example. A first set of driven/pickup electrodes may sense different biometric parameters than a second set of driven/pickup electrodes.

Abstract: Embodiments relate generally to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a method includes receiving an amplified signal including a portion of the physiological-related signal component including data representing a physiological characteristic, the amplified signal being derived from bioimpedance signal based on an impedance value of a tissue, and identifying a magnitude of a portion of the physiological-related signal component. Also, the method can compare the magnitude of the portion against another magnitude of a data model (e.g., in a time-domain) to form a matched value.

Abstract: Embodiments relate generally to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a wearable device and method includes determining a drive current signal magnitude for a bioimpedance signal to capture data representing a physiological-related component, and selecting the drive current signal magnitude as a function of an impedance of a tissue. Further, the method can include driving the bioimpedance signal to that are configured to convey the bioimpedance signal to the tissue. Also, the method can receive the sensor signal from the tissue, adjust a gain for an amplifier, and apply the gain to data representing the physiological-related component. The method can include generating an amplified signal to include a portion of the physiological-related signal component that includes data representing a physiological characteristic.

Abstract: Embodiments relate generally to wearable computing devices in capturing and deriving physiological characteristic data. More specifically, disclosed are one or more electrodes and methods to determine physiological characteristics using a wearable device (or carried device) and one or more sensors. In one embodiment, a method includes determining a drive signal magnitude for a bioimpedance signal to capture data representing a physiological-related component and selecting the drive signal magnitude as a function of an impedance of a tissue. The bioimpedance signal can be applied to electrodes that are configured to convey the bioimpedance signal to the tissue. In some cases, data representing a value a signal-to-noise (“SNR”) ratio may be adapted to form an adaptive signal-to-noise value. A portion of a received bioimpedance signal may be detected, the received bioimpedance signal being based on the adaptive signal-to-noise value. A physiological characteristic can be derived.