Abstract:
Methods, systems, computer-readable media, and apparatuses for obtaining blood pressure measurements are presented. The blood pressure measurements may be obtained by determining a pulse-transit time (PTT) as a function of a photoplethysmography (PPG) measurement and electrocardiogram (ECG) measurement. A mobile device includes outer body sized to be portable for a user of the mobile device. The mobile device also includes a plurality of light emitting components distributed along at least one portion of the mobile device and a plurality of light collecting components configured to measure reflected light from the plurality of light emitting components reflected off of blood vessels within the user. The light emitting and light collecting components are distributed along the at least one portion of the mobile device. The mobile device may also include a light guide configured to direct light emitted by the at least one light emitting component toward blood vessels with the user.
Abstract:
Disclosed embodiments pertain to cardiovascular parameter (e.g. heart rate) measurements when motion is present. Biometric sensor signal measurements may be obtained based on cardiovascular parameters of a user; and motion sensor signal measurements may be obtained based on user motion. An activity type may be determined based on the motion sensor signals. For example, when non-motion related frequencies in a frequency domain representation of the biometric sensor signal are obscured by user motion, an activity type may be determined based on the motion sensor signals. Further, based on the activity type, for each cardiovascular parameter (e.g. heart rate), a corresponding likely cardiovascular parameter value (e.g. a likely heart rate) may be determined. A corresponding fundamental frequency associated with the biometric sensor signal may then be determined for each cardiovascular parameter based on the motion sensor signal measurements and the corresponding likely cardiovascular parameter value.
Abstract:
Methods, systems, computer-readable media, and apparatuses for assessing a fitness state of a user via a mobile device are presented. In some implementations, a first physiological measurement of the user during a first level of a physical activity is obtained via one or more sensors. A second physiological measurement during a second level of the physical activity is obtained via the one or more sensors. A transient physiological measurement based on the first physiological measurement and the second physiological measurement is determined. The physical activity is classified based on one or more motion measurements obtained via the one or more sensors. A fitness profile indicative of a fitness state of the user is generated based at least in part on the determined transient physiological measurement and the classified physical activity.
Abstract:
Methods, systems, computer-readable media, and apparatuses for obtaining blood pressure measurements are presented. The blood pressure measurements may be obtained by determining a pulse-transit time (PTT) as a function of a photoplethysmography (PPG) measurement and electrocardiogram (ECG) measurement. A mobile device includes outer body sized to be portable for a user of the mobile device. The mobile device also includes a plurality of light emitting components distributed along at least one portion of the mobile device and a plurality of light collecting components configured to measure reflected light from the plurality of light emitting components reflected off of blood vessels within the user. The light emitting and light collecting components are distributed along the at least one portion of the mobile device. The mobile device may also include a light guide configured to direct light emitted by the at least one light emitting component toward blood vessels with the user.
Abstract:
Disclosed embodiments pertain to cardiovascular parameter (e.g. heart rate) measurements when motion is present. Biometric sensor signal measurements may be obtained based on cardiovascular parameters of a user; and motion sensor signal measurements may be obtained based on user motion. An activity type may be determined based on the motion sensor signals. For example, when non-motion related frequencies in a frequency domain representation of the biometric sensor signal are obscured by user motion, an activity type may be determined based on the motion sensor signals. Further, based on the activity type, for each cardiovascular parameter (e.g. heart rate), a corresponding likely cardiovascular parameter value (e.g. a likely heart rate) may be determined. A corresponding fundamental frequency associated with the biometric sensor signal may then be determined for each cardiovascular parameter based on the motion sensor signal measurements and the corresponding likely cardiovascular parameter value.
Abstract:
Systems, apparatus and methods for estimating a mass of an object by a mobile device are presented. The mobile device, which may be a smartphone, vibrates the mobile device both unloaded (without an object) and loaded (with an object) while measuring the unloaded and loaded vibrations. Next, the mobile device compares the unloaded and loaded vibrations and determines the mass of the object from the comparison.
Abstract:
Techniques described herein enable a mobile multifunction device to detect a disposable sensor card at an interface coupled to the mobile multifunction device, wherein the disposable sensor card is mounted inside an opening in the mobile multifunction device, detect analog information associated with the disposable sensor card, and convert analog information to digital information. Detecting analog information comprises detecting a non-transient change in at least a portion of the disposable sensor card, wherein at least a portion of the first disposable sensor card changes form in response to exposure to one or more stimuli from an environment of the first disposable sensor card. A non-transient change may include one or more of changing color, changing shape, changing chemical composition or changing electrical characteristics. Furthermore, the interface may be configured to receive disposable sensor cards with varying sensing capabilities. Each disposable sensor card may have one or more disposable sensors.