Abstract: A double-chambers inflatable kayak, including an upper chamber and a lower chamber which are fixedly connected to each other by a connecting portion and between which a cavity is formed, wherein the upper chamber includes a cockpit hole and a first air valve provided on the surface, the cockpit hole being in communication with the cavity, and the first air valve being used to inflate and deflate the upper chamber, and wherein the lower chamber includes a second air valve which is used to inflate and deflate the lower chamber.

Abstract: A double-chambers inflatable kayak, including an upper chamber and a lower chamber which are fixedly connected to each other by a connecting portion and between which a cavity is formed, wherein the upper chamber includes a cockpit hole and a first air valve provided on the surface, the cockpit hole being in communication with the cavity, and the first air valve being used to inflate and deflate the upper chamber, and wherein the lower chamber includes a second air valve which is used to inflate and deflate the lower chamber.

Abstract: A double-chambers inflatable kayak, including an upper chamber and a lower chamber which are fixedly connected to each other by a connecting portion and between which a cavity is formed, wherein the upper chamber includes a cockpit hole and a first air valve provided on the surface, the cockpit hole being in communication with the cavity, and the first air valve being used to inflate and deflate the upper chamber, and wherein the lower chamber includes a second air valve which is used to inflate and deflate the lower chamber.

Abstract: Methods and apparatus for classifying subjects based on time series phenotypic data are disclosed. In one arrangement, a data receiving unit receives a set of first subject-data-units, each first subject-data-unit in the set comprising time series data representing phenotypic information about a different respective one of a plurality of subjects to be classified. A data processing unit processes the set of first subject-data-units to reduce a dimensionality of each first subject-data-unit, thereby obtaining a corresponding set of second subject-data-units having lower dimensionality than the first subject-data-units. The set of second subject-data-units is processed to cluster the second subject-data-units into a plurality of clusters. Each of one or more of the subjects is classified by determining to which cluster a second subject-data-unit corresponding to the subject belongs.

Abstract: A double-chambers inflatable kayak, including an upper chamber and a lower chamber which are fixedly connected to each other by a connecting portion and between which a cavity is formed, wherein the upper chamber includes a cockpit hole and a first air valve provided on the surface, the cockpit hole being in communication with the cavity, and the first air valve being used to inflate and deflate the upper chamber, and wherein the lower chamber includes a second air valve which is used to inflate and deflate the lower chamber.

Abstract: Methods and apparatus for subtyping subjects based on phenotypic information are disclosed. In one arrangement, a data receiving unit receives a subject data unit for each of a plurality of subjects. Each subject data unit represents a plurality of different phenotypic information items about the subject. A data processing unit uses a deep learning algorithm to derive a lower dimensional representation of each subject data unit and a clustering algorithm to detect clusters of the resulting lower dimensional representations. The deep learning algorithm and clustering algorithm are implemented by a single mathematical model in which the derivation of the lower dimensional representations and the detection of the clusters are performed jointly.

Abstract: A double-chambers inflatable kayak, including an upper chamber and a lower chamber which are fixedly connected to each other by a connecting portion and between which a cavity is formed, wherein the upper chamber includes a cockpit hole and a first air valve provided on the surface, the cockpit hole being in communication with the cavity, and the first air valve being used to inflate and deflate the upper chamber, and wherein the lower chamber includes a second air valve which is used to inflate and deflate the lower chamber.

Abstract: Accurate and effective methods for measuring cardiovascular and respiratory parameters are provided. The method for deriving a depth-specific photoplethysmography (PPG) signal from multi-wavelength PPG signals includes choosing light wavelength combinations, calibrating a multi-layer light-tissue interaction model referring to a physiological signal, and generating the depth-specific PPG signal from the multi-wavelength PPG signals based on the calibrated light-tissue interaction model. The disclosed method for cuff-less blood pressure measurement includes recording a physiological signal and multi-wavelength PPG signals of a predetermined body part, deriving the depth-specific PPG signal reflecting the arterial blood volume with the physiological signal as a reference, calculating the pulse transit time (PTT) from the physiological signal and the derived arterial blood PPG signal, and calculating the blood pressure from the calibrated PTT and blood pressure relationship.

Abstract: Novel and advantageous systems, devices, and methods for pulse wave velocity (PWV) imaging that enable precise central blood pressure (BP) estimation are provided. A multi-sensor array can provide two-dimensional PWV, thereby achieving the PWV imaging and precise central BP estimation. The multi-sensor array can be integrated in daily objects, such as clothing or a bed, which results in noninvasive, continuous, low-cost monitoring of BP that is easy to use and does not require a medical professional. Electrocardiogram imaging, photoplethysmogram imaging, and monitoring for other physiological parameters such as heart rate, SpO2, BP, and respiration, can also be achieved.

Abstract: Accurate and effective methods for measuring cardiovascular and respiratory parameters are provided. The method for deriving a depth-specific photoplethysmography (PPG) signal from multi-wavelength PPG signals includes choosing light wavelength combinations, calibrating a multi-layer light-tissue interaction model referring to a physiological signal, and generating the depth-specific PPG signal from the multi-wavelength PPG signals based on the calibrated light-tissue interaction model. The disclosed method for cuff-less blood pressure measurement includes recording a physiological signal and multi-wavelength PPG signals of a predetermined body part, deriving the depth-specific PPG signal reflecting the arterial blood volume with the physiological signal as a reference, calculating the pulse transit time (PTT) from the physiological signal and the derived arterial blood PPG signal, and calculating the blood pressure from the calibrated PTT and blood pressure relationship.