Abstract: An example method includes generating a signal correlated with blood perfusion or SpO2 of a subject at a location and orientation on a body of the subject; determining a signal quality and/or signal strength of the signal; and in dependence on the signal quality and/or signal strength, either indicating that at least one of the location or the orientation is acceptable for placement of a biosensor on the body of the subject or prompting the subject or other person to reposition the biosensor. The biosensor may be part of a chest sensor device that includes: an adhesive with a liner having pull tabs for easy removal when the chest sensor device is positioned at a desired location; a finger grip to facilitate removal of the chest sensor device from the subject after a period of use; and/or wraparound fingers to secure the chest sensor device to the adhesive.

Abstract: The present disclosure generally relates to the determination of blood pressure of a human being. More specifically, but not exclusively, in one aspect the present disclosure relates to determination of blood pressure of a human being over an extended period of time. In one form, a method for determining a blood pressure value of a human being includes determining a period of time during which the human being is stationary. The method also includes determining, during the period of time, a plurality of measurements providing pulse-related data values from the human being. From the plurality of measurements, a representative pulse-related data value representative of the pulse-related data values determined during the period of time may be determined. The method also includes determining, from the representative pulse-related data value, a blood pressure value of the human being for the period of time.

Abstract: In an example, a method to monitor blood pressure of a subject includes: generating a first signal representing cardiac electrical activity of the subject using a first sensor of a wearable system; generating a second signal representing cardiac photonic activity of the subject using a second sensor of the wearable system; generating a third signal representing cardiac mechanical activity of the subject using a third sensor of the wearable system; determining from the third signal a time period during which the first and second signals are likely clean; extracting one or more features from portions of two or more of the first, second, or third signals corresponding to the time period, the one or more extracted features including at least one of a PTT, a PAT, or BVE features; and determining a current blood pressure of the subject based on the one or more extracted features.

Abstract: In an example, an electrocardiogram (ECG) device includes a housing, an ECG sensor, and first and second electrodes. The ECG sensor is disposed in the housing. The first electrode is accessible from outside the housing and is electrically coupled to the ECG sensor. The second electrode is accessible from outside the housing and is electrically coupled to the ECG sensor. The housing and the first and second electrodes define an ECG device electromechanical interface that is complementary to a common patch electromechanical interface that is included in at least two different types of attachment patches.

Abstract: In an example, a method includes collecting biodata of a subject. The method includes generating or updating a personalized ML model of the subject from the biodata of the subject. The method includes detecting anomalies in the biodata based on the personalized ML model. The method includes filtering the detected anomalies to determine whether the detected anomalies indicate that the subject has a clinical condition or is at risk of having the clinical condition.

Abstract: A method may include generating a frequency-agnostic signal using an adjustable oscillator, and applying the frequency-agnostic signal to a user. The method may also include determining a reflecting value based on the frequency-agnostic signal as reflected by the user. The method may additionally include identifying a peak in the reflecting value by at least repeatedly comparing the determined reflecting value to a previously stored highest reflecting value, and adjusting the adjustable oscillator based on the comparison. The method may also include, after identifying the peak, determining a frequency of the oscillator corresponding to the peak, and outputting the frequency of the oscillator.

Abstract: An example embodiment includes a life pattern detection system. The life pattern detection system includes a sensor, a data acquisition device, and a first processor. The sensor is configured to monitor actions of a user. The data acquisition device is configured to harvest signals from the sensor and produce sensor data. The first processor is configured to receive the sensor data and background data, and to execute a life pattern application including a first series of analytical steps that determines a predictable set of actions from the sensor data and the background data.

Abstract: Methods and apparatuses are disclosed for enabling a satellite-based navigation signal receiver to support multiple types of global navigation satellite systems (GNSS). A legacy GNSS receiver can support a plurality of GNSS types by software upgrade and with a new/modified radio frequency (RF) chip. There is no need to completely redesign a navigation host chip to support the multiple GNSS types. This invention offers a cost-efficient multi-GNSS solution without sacrificing the navigation performance. A GNSS baseband controller controls synchronization of measurement time for digitized data along a first signal processing path for a legacy GNSS signal and a second signal processing path for a non-legacy GNSS signal.

Abstract: Methods and apparatuses are disclosed for enabling a satellite-based navigation signal receiver to support multiple types of global navigation satellite systems (GNSS). A legacy GNSS receiver can support a plurality of GNSS types by software upgrade and with a new/modified radio frequency (RF) chip. There is no need to completely redesign a navigation host chip to support the multiple GNSS types. This invention offers a cost-efficient multi-GNSS solution without sacrificing the navigation performance. A GNSS baseband controller controls synchronization of measurement time for digitized data along a first signal processing path for a legacy GNSS signal and a second signal processing path for a non-legacy GNSS signal.

Abstract: An example embodiment includes a life pattern detection system. The life pattern detection system includes a sensor, a data acquisition device, and a first processor. The sensor is configured to monitor actions of a user. The data acquisition device is configured to harvest signals from the sensor and produce sensor data. The first processor is configured to receive the sensor data and background data, and to execute a life pattern application including a first series of analytical steps that determines a predictable set of actions from the sensor data and the background data.

Abstract: The present invention provides systems and methods for enabling a navigation signal receiver to perform both data assisted and non-data assisted integration to provide better integration during signal acquisition, reacquisition and tracking. In data assisted integration mode, a receiver uses known or predicted data bits to remove the modulated data bits of a received signal prior to integration. In non data assisted integration mode, when the data bits are not known or predictable, the receiver uses an optimal estimation or maximum likelihood algorithm to determine the polarities of the modulated data bits of the received signal. This may be done by determining which of various possible bit pattern yields the maximum integrated power. When the modulated data bits are not known or predictable over a limited range, the receiver carries out data assisted integration over the known or predictable data bits and additional non data assisted integration.

Abstract: The present invention provides GPS receivers capable of tracking very weak GPS signals particularly in an indoor environment without assistance from an external server or a network. In a preferred embodiment, a GPS receiver initially acquires and locks onto GPS satellite signals to compute receiver position outdoors. The GPS receiver then tracks at least one satellite signal indoors to maintain acquisition parameters for quick acquisition of GPS signals. To save power, the receiver automatically goes to the sleep state and periodically wakes up, i.e., powers up, to maintain the at least one satellite signal tracking. During the wakeup state, the receiver collects ephemeris data from the at least one satellite signal when the ephemeris data needs to be updated for quick acquisition of GPS signals.

Abstract: The present invention provides methods and systems for keeping the ephemeris in a navigational receiver current to achieve fast TTFF without the need for connecting to an aiding network or remote server. In an embodiment, the receiver keeps the ephemeris current by downloading the ephemeris in the background. In the preferred embodiment, the receiver uses a background sleep/wake up process to download current ephemeris with minimal power drain. In this embodiment, the receiver alternates between a sleep mode and a wake up mode. During the wake up mode, the receiver attempts to download current ephemeris. The receiver then goes back to the sleep mode until the next wake up to conserve power. The receiver may wake up from the sleep mode to download the ephemeris when the stored ephemeris is no longer current or the ephemeris broadcasted from a satellite has been updated or based on receiver usage patterns.

Abstract: The present invention provides methods and systems for keeping the ephemeris in a navigational receiver current to achieve fast TTFF without the need for connecting to an aiding network or remote server. In an embodiment, the receiver keeps the ephemeris current by downloading the ephemeris in the background. In the preferred embodiment, the receiver uses a background sleep/wake up process to download current ephemeris with minimal power drain. In this embodiment, the receiver alternates between a sleep mode and a wake up mode. During the wake up mode, the receiver attempts to download current ephemeris. The receiver then goes back to the sleep mode until the next wake up to conserve power. The receiver may wake up from the sleep mode to download the ephemeris when the stored ephemeris is no longer current or the ephemeris broadcasted from a satellite has been updated or based on receiver usage patterns.

Abstract: The present invention provides systems and methods for enabling a navigation signal receiver to perform both data assisted and non-data assisted integration to provide better integration during signal acquisition, reacquisition and tracking. In data assisted integration mode, a receiver uses known or predicted data bits to remove the modulated data bits of a received signal prior to integration. In non data assisted integration mode, when the data bits are not known or predictable, the receiver uses an optimal estimation or maximum likelihood algorithm to determine the polarities of the modulated data bits of the received signal. This may be done by determining which of various possible bit pattern yields the maximum integrated power. When the modulated data bits are not known or predictable over a limited range, the receiver carries out data assisted integration over the known or predictable data bits and additional non data assisted integration.

Abstract: The present invention provides GPS receivers capable of tracking very weak GPS signals particularly in an indoor environment without assistance from an external server or a network. In a preferred embodiment, a GPS receiver initially acquires and locks onto GPS satellite signals to compute receiver position outdoors. The GPS receiver then tracks at least one satellite signal indoors to maintain acquisition parameters for quick acquisition of GPS signals. To save power, the receiver automatically goes to the sleep state and periodically wakes up, i.e., powers up, to maintain the at least one satellite signal tracking. During the wakeup state, the receiver collects ephemeris data from the at least one satellite signal when the ephemeris data needs to be updated for quick acquisition of GPS signals.