Abstract: Systems and methods for non-invasive blood pressure measurement are disclosed. In some embodiments, a system comprises a wearable member configured to generate first and second signals, and a blood pressure calculation system. The blood pressure calculation system a pre-processing module configured to filter noise from the signals, and a wave selection module configured to identify subsets of waves of the signals, a feature extraction module configured to generate sets of feature vectors form the subsets of waves, and a blood pressure processing module configured to calculate an arterial blood pressure value based on the sets of feature vectors and an empirical blood pressure calculation model, the empirical blood pressure calculation model configured to receive the sets of feature vectors as input values. The blood pressure calculation system further includes a communication module configured to provide a message including or being based on the arterial blood pressure value.

Abstract: A wearable member may include a plurality of energy transmitters that are arranged on a surface of the wearable member, each of the energy transmitters being configured to project energy into tissue of a user. A wearable member may include a plurality of energy receivers each of which is configured to generate a signal based on a received portion of the energy that is projected by one or more of the energy transmitters and reflected by the tissue of the user, wherein at least one of the energy transmitters and the energy receivers are multi-dimensionally arranged on the wearable member such that energy reflected by the tissue of the user at locations that are multi-dimensionally different is incident on the plurality of energy receivers. The processor may be configured to calculate a biological metric based on signals generated by at least part of the plurality of energy receivers.

Abstract: Systems and methods for non-invasive blood pressure measurement are disclosed. In some embodiments, a system comprises a wearable member configured to generate first and second signals (e.g., PPG signals), and a blood pressure calculation system. The blood pressure calculation system includes a wave selection module configured to identify subsets of waves of the signals, a feature extraction module configured to generate sets of feature vectors form the subsets of waves, and a blood pressure processing module configured to calculate an arterial blood pressure value based on the sets of feature vectors and an empirical blood pressure calculation model, the empirical blood pressure calculation model configured to receive the sets of feature vectors as input values. The blood pressure calculation system further includes a communication module configured to provide a message including or being based on the arterial blood pressure value.

Abstract: An exemplary system comprises an energy transmitter, an energy receiver, and an analyzer. The energy transmitter may project energy at a first wavelength and a second wavelength into tissue of a user, the first wavelength and the second wavelength being associated with at least one nutrient of a set of nutrients in blood of the user. The energy receiver may generate a composite signal based on a fraction of the energy at the first wavelength and the second wavelength, the fraction of the energy being received through the tissue of the user. The analyzer may separate the composite signal into a first signal corresponding to the first wavelength and a second signal corresponding to the second wavelength, and detect, in the blood of the user, a concentration of the at least one nutrient of the set of nutrients based on the first signal and the second signal.

Abstract: Systems and methods for non-invasive respiratory rate measurement are disclosed. In some embodiments, a system comprises a wearable member including an energy transmitter configured to project energy into tissue of a user. An energy receiver generates a multichannel signal based on a first received portion of the energy, the received portion of energy being received through the tissue of the user. A respiratory rate calculation system includes a pre-processing module for filter noise from the signal. A spectrum module determines a spectrum of the signal. A respiratory rate processing module determines a first respiratory rate from the spectrum of the signal. A noise reference and one or more second respiratory rates are obtained. A third respiratory rate is determined based on the first respiratory rate, the noise reference, and the one or more second respiratory rates. A communication module provides a message based on the third respiratory rate.

Abstract: A wearable member may include a plurality of energy transmitters that are arranged on a surface of the wearable member, each of the energy transmitters being configured to project energy into tissue of a user. A wearable member may include a plurality of energy receivers each of which is configured to generate a signal based on a received portion of the energy that is projected by one or more of the energy transmitters and reflected by the tissue of the user, wherein at least one of the energy transmitters and the energy receivers are multi-dimensionally arranged on the wearable member such that energy reflected by the tissue of the user at locations that are multi-dimensionally different is incident on the plurality of energy receivers. The processor may be configured to calculate a biological metric based on signals generated by at least part of the plurality of energy receivers.

Abstract: Systems and methods for non-invasive blood pressure measurement are disclosed. In some embodiments, a system comprises a wearable member configured to generate first and second signals (e.g., PPG signals), and a blood pressure calculation system. The blood pressure calculation system includes a wave selection module configured to identify subsets of waves of the signals, a feature extraction module configured to generate sets of feature vectors form the subsets of waves, and a blood pressure processing module configured to calculate an arterial blood pressure value based on the sets of feature vectors and an empirical blood pressure calculation model, the empirical blood pressure calculation model configured to receive the sets of feature vectors as input values. The blood pressure calculation system further includes a communication module configured to provide a message including or being based on the arterial blood pressure value.