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.

Methods, systems, and devices are provided for determining a respiratory flow, ventilation, and/or endotypes from Respiratory Inductance Plethysmography (RIP) signals. The method includes receiving data of a thoracic signal of a first RIP belt arranged proximate with a thorax of a subject, receiving data of an abdomen signal of a second RIP belt, and determining a respiratory flow of the subject based on the data of the thoracic signal and the data of the abdomen signal. Determining the respiratory flow includes two or more calibrations, including performing a first calibration by applying a first calibration coefficient that relates an amplitude of a differential change in the thoracic signal to an amplitude of a differential change in the abdomen signal to obtain a determined respiratory flow, and performing a second calibration on the determined respiratory flow that corrects for a non-linearity in the determined respiratory flow.

An apparatus for monitoring a sleep parameter of a user includes an adhesive pad configured to conform to a surface of the user and a flexible element coupled to the adhesive pad. The flexible element includes a conductive fabric, and exhibits a modified electrical property in response to an applied force. The apparatus also includes a power source electrically coupled to the flexible element, and an electrical circuit electrically coupled to the power source and the flexible conductive element. The electrical circuit is configured to detect, during use, a change in an electrical property of the flexible element.

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.

A garment (e.g., a shirt) for monitoring biometric properties of the wearer of the garment is disclosed. The garment may include sensors for monitoring or assessing biometric properties such as, but not limited to, respiration properties, heart properties, and motion properties. These properties may be assessed together to provide an assessment of vital signs and body position (e.g., three-dimensional body position) of the wearer of the garment.

Provided is a respiratory state estimating device including a pulse wave signal acquiring unit that acquires a pulse wave signal from a portion of a living subject, a pulse rate calculating unit that calculates a pulse rate of the living subject based on the pulse wave signal, and a respiratory state estimating unit that estimates a respiratory state of the living subject based on the pulse rate. Also, provided is a respiratory state estimating method including optically acquiring a pulse wave signal from a portion of a living subject, calculating a pulse rate of the living subject based on the pulse wave signal, estimating a respiratory state of the living subject from the pulse rate.

Embodiments described herein relate generally to biosensing garments, and in particular, to systems and methods for monitoring respiration in a biosensing garment, whereby an improved integration of the respiration monitoring circuit into the garment is achieved, resulting in improved signal quality and durability. In some embodiments, an apparatus includes an elongate member having a longitudinal axis and configured to be stretchable along its longitudinal axis. The elongate member includes a plurality of elastic members (e.g., a first elastic member, a second elastic member, and a third elastic member) that extend along the longitudinal axis. A conductive member is coupled to the first, second and third members, and forms a “curved” pattern along the longitudinal axis of the elongate member. The conductive member is configured to change from a first configuration to a second configuration as the elongate member stretches along its longitudinal axis.

Disclosed is a method and device for assessing respiratory data in a monitored subject. The disclosed method comprises collecting respiratory data of the subject at different levels of exertion with a physiological monitoring system (15-19), the respiratory data at least relating to instantaneous lung volume and comprising the end expiratory lung volume (EELV) after expirations; collecting exertion level data of the subject at the different levels of exertion, the exertion level data at least relating to instantaneous oxygen demand and/or heart rate; establishing a parametric relation (14, 15) between the collected respiratory data and the collected exertion level data, the parametric relation being described by one or more parameters; and assessing the respiratory data of the subject in terms of the value of the one or more parameters. The method and device allow a reliable measuring of dynamic hyperinflation in subjects without requiring much attention on the part of the subject.

A method and a device determine a time curve of the depth of breath of a sleeping person. Height profiles of the person at individual recording time points are continuously determined. Height profiles from adjacent recording time points are combined to give segments. The region which indicates the abdomen or chest region of the person depending on a corresponding reference point or reference region is selected as an observation region. For each height profile within the segment, the corresponding average value of the distances of the points of the height profile, which points lie within the observation region, from a reference point is determined. For the segment, a signal is determined and for each recording time point, the average value determined for this height profile is associated with the signal. On the basis of the determined signal, values which characterize the time curve of the depth of breath are determined.

Objective Pulmonary Function (PF) evaluation for respiratory fatigue is vital to the diagnosis and management of many pediatric respiratory diseases in the intensive care, emergency and outpatient settings. A non-invasive PF instrument utilizes sensors and software to access respiratory breathing patterns, vital parameters, asynchrony and measures the work of breathing. Software algorithms predict respiratory fatigue. The hardware includes a microcircuit board that individually links to rib cage (RC) and abdominal (ABD) inductance bands. The bands wirelessly transmit changes in RC and ABD circumference. Point-of-care, real-time indices of respiratory work, breathing patterns and respiratory fatigue indices are developed on a user-friendly graphical user interface. The diagnostic data can later be securely emailed as an attachment for entry into patients' electronic medical records or sent to a caretaker's computer, or used directly to control a respiratory therapy device. The system can also be used for telemedicine homecare.