Abstract: To participate in a health incentive program, a customer of a health-related business such as a health insurance company or medical group entity may use a physiological measurement device to report health-related activity to the business. However, a customer may report fraudulent activity to the business by allowing another party to use the physiological measurement device. In embodiments, an electronic device, a collection and validation server, and a physiological measurement device may execute methods to ensure that the user of the physiological measurement device has identified themselves properly to the business. In embodiments, the electronic device and the physiological measurement device may produce sets of physiological measurement data that are compared to determine that a user of the electronic device is the same as the user of the physiological measurement device. The electronic device may produce a set of physiological measurement data using video and image processing techniques.

Abstract: A data acquisition device includes measuring instruments to generate physiological and/or psychological data streams. Microprocessors within the acquisition device process the generated data streams into metrics, which feed into stress function algorithms. Algorithm processing may occur either on the device, or metrics may be communicated via wireless communication for external processing on mobile devices and/or cloud-based platforms. The calculated stress functions inform cloud-based computational systems biology-derived models describing the dynamics of hormones and neurotransmitters released in the body in response to stressful stimuli. Stress hormone levels are quantified using these models, and are used in combination to serve as biologically inspired metrics of acute and chronic stress an individual is experiencing.

Abstract: A physiological monitoring system and method for the determination of at least one physiological parameter using a first low energy physiological sensor to produce a first physiological sensor signal and a high energy physiological sensor to produce a second physiological sensor signal. A motion sensor produces a motion reference signal that a mode selector switch uses to select either the first low energy physiological sensor or the second high energy physiological sensor. Alternatively, a motion related embedded component in the second physiological sensor signal is used by the mode selector switch to select in the first low energy sensor or the second high energy sensor.

Abstract: The claimed invention comprises software methods for user continuity and physiological state change assessments through generating biometric profiles of individuals and/or groups of individuals by using physiological input together with biomathematical modeling and machine learning techniques. Intra-individual variation in physiological variables including, but not limited to: heart rate, heart rate variability, pulse waveform and its derivatives, blood pressure, breathing rate, cardiopulmonary coupling, actigraphy and circadian rhythms characteristics, are exploited.

Abstract: The invention comprises methods and systems capable of processing simultaneously measured cardiac and motion signals, selecting from said signals the optimal cardiac and motion signal combination for cross spectral density calculations and, hereafter, itemizing the shared information in terms of the individual constituent frequencies and the effect exerted upon said frequencies by common underlying physiological states. The information is passed through a classifier, where said information is used to quantify the underlying physiological states, exemplified by but not limited to, sleep stage, quality and/or disorders that affect sleep stability. Inferences made by the methods described, for example, can be employed to aid home based sleep analysis and automated screening of patients with sleep disorders.

Abstract: Systems and methods are provided in which data acquisition device detects and captures ambulatory radial arterial blood pressure in a non-invasive and continuous manner through the combined use of tonometry, accelerometry and photoplethysmography, together with the detecting and translating of Mayer waves. Transformed blood pressure data, together with motion and contextual data can be used as input for machine learning algorithms and biomathematical models which can predict the general state of health of an individual. Transformed blood pressure data, together with motion and contextual data, may be communicated via wireless communications to mobile devices and/or cloud based platforms.

Abstract: Computer implemented systems and methods are presented comprising a platform coordinating data flows between data acquisition, data transformation and data delivery nodes, whilst protecting the identities of all entities whose data is being acquired, transformed, stored, and/or delivered. Metadata usage from different data transformation flows enables the platform to facilitate value distribution back to nodes and data subjects that contributed to output, enabling individual companies and/or data subjects subscribed to the platform to assess how and by whom their data is utilized in order to produce specific outputs, with the personal data of all entities being de-identified.

Abstract: The present invention discloses a reflectance type PPG-based physiological sensing system with a close proximity triangulation approach toward robustly measuring several physiological parameters including, but is not limited to, heart rate, breathing rate, blood oxygen saturation and pulse wave velocity.

Abstract: The invention pertains to the establishment, implementation and management of a personalized information system pertinent to a user's general health, wellness and/or sport performance. Disclosed is a system capable of transcutaneous measurement of a subject including at least one light source, at least one light detector, and at least one component for generating or storing at least one value of VC02 or at least one value of V02 from the detected signal. Further, disclosed is a portable device for analyzing the composition of the respired gasses of a subject including at least one air flow conduit through which the subject can inspire or expire air through the body of the device, at least one sampling portal, an oxygen sensor, and at least one flow sensor. A dual-battery system is also provided by which an uninterrupted power supply can be provided for electronic components.