A garment cuff for detecting physiological data. The garment cuff includes: an elongate band having a first region and a second region and defining an adjustable loop for receiving a user limb based on the first region being positioned proximal the second region. The garment cuff includes a stiffener member coupled to the first region to define a substantially rigid base and a sensor panel affixed to the substantially rigid base on a user limb facing side of the first region. The garment cuff includes a fastener coupled to the elongate band and configured to position the sensor panel against the user limb with substantially consistent pressure.

A system and method for patient-adaptive hemodynamic management is described. One embodiment includes a system for hemodynamic management including transfusion, volume resuscitation with intravenous fluids, and medications, utilizing monitored hemodynamic parameters including the described dynamic predictors of fluid responsiveness, and including an intelligent algorithm capable of adaptation of the function of the device to specific patients.

The present application describes a Personal Hand-Held Monitor (PHHM) of the type described in WO 2013/002165, WO 2014/125431, and International Patent Application No. PCT/EP2015/079888, with improved aspects to find indicators of health, and other improvements that facilitate its construction and calibration.

An automatic recognition and classification method for electrocardiogram heartbeat based on artificial intelligence, comprising: processing a received original electrocardiogram digital signal to obtain heartbeat time sequence data and lead heartbeat data; cutting the lead heartbeat data according to the heartbeat time sequence data to generate lead heartbeat analysis data; performing data combination on the lead heartbeat analysis data to obtain a one-dimensional heartbeat analysis array; performing data dimension amplification and conversion according to the one-dimensional heartbeat analysis array to obtain four-dimensional tensor data; and inputting the four-dimensional tensor data to a trained LepuEcgCatNet heartbeat classification model, to obtain heartbeat classification information. The method overcomes the defect that the conventional method only depends on single lead independent analysis for result summary statistics and thus classification errors are more easily obtained, and the accuracy of the electrocardiogram heartbeat classification is greatly improved.

A state assessment system, a diagnosis and treatment system and a method for operating the diagnosis and treatment system are disclosed. An oscillator model converts a physiological signal of a subject into a defined feature image. A classification model analyzes state information of the subject based on the feature image. An analysis model outputs a treatment suggestion for the subject based on the state information of the subject. An AR projection device projects acupoint positions of a human body onto the subject, for the subject to be treated based on the treatment suggestion.

The present disclosure relates to a device, method and system for calculating, estimating, or monitoring the blood pressure of a subject based on physiological features and personalized models. At least one processor, when executing instructions, may perform one or more of the following operations. A first signal representing a pulse wave relating to heart activity of a subject may be received. A plurality of second signals representing time-varying information on a pulse wave of the subject may be received. A personalized model for the subject may be designated. Effective physiological features of the subject based on the plurality of second signals may be determined. A blood pressure of the subject based on the effective physiological features and the designated model for the subject may be calculated.

The present disclosure relates to a device, method and system for calculating, estimating, or monitoring the blood pressure of a subject based on physiological features and personalized models. At least one processor, when executing instructions, may perform one or more of the following operations. A first signal representing a pulse wave relating to heart activity of a subject may be received. A plurality of second signals representing time-varying information on a pulse wave of the subject may be received. A personalized model for the subject may be designated. Effective physiological features of the subject based on the plurality of second signals may be determined. A blood pressure of the subject based on the effective physiological features and the designated model for the subject may be calculated.

A system and method for preliminarily identifying a medical condition in a monitored patient. A predetermined set of patient physiological parameters that are indicative of the presence of a medical condition is monitored. If all of the patient physiological parameters meet a predetermined criteria, a notification is activated that is indicative of the presence of the medical condition. Optionally, users are provided with guidance concerning additional patient physiological parameters to be checked to confirm the presence of the medical condition.

Devices and methods for monitoring physiologic parameters are described where an airway device, in one embodiment, may comprise a mouthpiece section and an opening section defining one or more airway lumens therethrough with a first sensor in fluid communication with the one or more airway lumens and a second sensor positioned upon a hand-piece for contact against a portion of the user. The first sensor may be configured to detect an airway pressure when a user inhales or exhales through the one or more airway lumens, and the second sensor may be configured to detect a physiological signal from the user. Additionally, a controller may be in communication with the first and second sensors where the controller is programmed to correlate pressure oscillations in the airway pressure with heartbeats.

Devices and methods for monitoring physiologic parameters are described where an airway device, in one embodiment, may comprise a mouthpiece section and an opening section defining one or more airway lumens therethrough with a first sensor in fluid communication with the one or more airway lumens and a second sensor positioned upon a hand-piece for contact against a portion of the user. The first sensor may be configured to detect an airway pressure when a user inhales or exhales through the one or more airway lumens, and the second sensor may be configured to detect a physiological signal from the user. Additionally, a controller may be in communication with the first and second sensors where the controller is programmed to correlate pressure oscillations in the airway pressure with heartbeats.