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: 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: A system includes a wearable member configured to receive first energy, generate first signals, select a first subset of the time series data, determine a standard deviation indicating a quality at a low percentile of values associated with first windows of the time series data and a high percentile of values associated with the first windows of the time series data, the signal assessment threshold being including at least the values of the lower percentile, receive second energy, generate second signals containing second time series data from the second energy, select a second subset of the time series data to assess, compare all or part of the second signals to the signal assessment threshold, and if all or part of the second signals include the second time series data that is within the values of the lower percentile, then remove the second signals from further processing.

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: Systems and methods for determining if a wearable photoplethysmography device is correctly positioned in operating to medical signs of a user by using a classifier to determine if a signal is valid or invalid. In some embodiments, in using the classifier to determine in a signal is valid or invalid, a lean method of linear computational complexity and minimal memory complexity is provided for determining at the wearable photoplethysmography device if it is correctly positioned. In some embodiments, in using the classifier minimal computational complexity is used in determining at the wearable photoplethysmography device if it is correctly positioned.

Abstract: In some embodiments, a system comprises a wearable member configured to receive first energy, generate first signals, select a first subset of the time series data, determine a standard deviation indicating a quality at a low percentile of values associated with first windows of the time series data and a high percentile of values associated with the first windows of the time series data, the signal assessment threshold being including at least the values of the lower percentile, receive second energy, generate second signals containing second time series data from the second energy, select a second subset of the time series data to assess, compare all or part of the second signals to the signal assessment threshold, and if all or part of the second signals include the second time series data that is within the values of the lower percentile, then remove the second signals from further processing.

Abstract: Systems and methods for determining if a wearable photoplethysmography device is correctly positioned in operating to medical signs of a user by using a classifier to determine if a signal is valid or invalid. In some embodiments, in using the classifier to determine in a signal is valid or invalid, a lean method of linear computational complexity and minimal memory complexity is provided for determining at the wearable photoplethysmography device if it is correctly positioned. In some embodiments, in using the classifier minimal computational complexity is used in determining at the wearable photoplethysmography device if it is correctly positioned.

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: 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, 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: In some embodiments, a system comprises a wearable member configured to receive first energy, generate first signals, select a first subset of the time series data, determine a standard deviation indicating a quality at a low percentile of values associated with first windows of the time series data and a high percentile of values associated with the first windows of the time series data, the signal assessment threshold being including at least the values of the lower percentile, receive second energy, generate second signals containing second time series data from the second energy, select a second subset of the time series data to assess, compare all or part of the second signals to the signal assessment threshold, and if all or part of the second signals include the second time series data that is within the values of the lower percentile, then remove the second signals from further processing.

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.

Abstract: A wearable apparatus selects at least two signal channels corresponding to an arterial signal, the channels associated with corresponding optical sensors of the wearable apparatus. Data is obtained from signal channels over a predetermined time. A function is applied to the data to transform the data to a frequency domain. Phase values are determined for frequency components of the data in the frequency domain. A phase difference value is determined between the phase values. A time shift value is determined between the data based on the phase difference value. A modified pulse transmit time is determined, based on the time shift value, representing a transit time for a pressure wavefront to travel between optical sensors. A pulse wave velocity is determined based on the modified pulse transit time. A blood pressure value is calculated based on the pulse wave velocity. A message is provided based on the blood pressure value.

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.