A photoacoustic remote sensing system for imaging a subsurface structure in a sample, comprising exactly one laser source configured to generate a pulsed or intensity-modulated excitation beam configured to generate ultrasonic pressure signals in the sample at an excitation location, and an interrogation beam incident on the sample at the excitation location, a portion of the interrogation beam returning from the sample that is indicative of the generated ultrasonic pressure signals, an optical system configured to focus the excitation beam and the interrogation beam below a surface of the sample, a detector configured to detect the returning portion of the interrogation beam, and a processor configured to calculate an image of the sample based on a detected intensity modulation of the returning portion of the interrogation beam from below the surface of the sample.

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.

A method of protecting an in-vivo sensor includes forming a sensing surface on a surface of the in-vivo sensor, the sensing surface including a functionalized monolayer that will bind to an analyte of interest; and coating the sensing surface of the sensor with a bioabsorbable polymeric coating including a bioabsorbable polymer; wherein the bioabsorbable polymeric coating is configured to protect the in-vivo sensor until needed for implantation.

Disclosed are methods and medical device systems for automated delivery of therapies for pain and determination of need for and safety of treatment. In one embodiment, such a medical device system may comprise a sensor configured to sense at least one body signal from a patient; and a medical device configured to receive a first sensed body signal from the sensor; determine a patient pain index based at least in part on said first sensed body signal; determine whether said patient pain index is above at least a first pain index threshold; determine a safety index based at least in part on a second sensed body signal; select a pain treatment regimen based on at least one of said safety index and or a determination that said pain index is above said first pain index threshold; and deliver said pain treatment regimen.

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.

Disclosed is respiratory assistance apparatus comprising a flow generator configured to provide breathing gases to a patient, the breathing gases comprising supplemental oxygen provided from an oxygen source. The respiratory assistance apparatus controller is configured determine a target oxygen concentration of the breathing gases and calculate an estimated future value of the patient's blood oxygen concentration based on a difference between an initial oxygen concentration of the breathing gases and the target oxygen concentration of the breathing gases, and the patients blood oxygen concentration.

Methods of measuring biometric characteristics using a sensor positioned in an ear canal of a user are provided. The sensor is positioned on or connected to an ear tip, a contact hearing device, or one or more components thereof. One or more biometric signals may be sensed from the sensor. The biometric characteristic of the user is measured or derived from these sensed signals, and include but are not limited to the temperature of the user, acoustic signal(s) from the user, movement(s) of the user, a ballistocardiogram, an electrocardiogram, oxygen saturation, and blood pressure.

A vital sign measurement device includes at least one sensor that is provided at a seat, and that is configured to contact a finger of a measurement subject and to measure a vital sign of the measurement subject. The seat includes a seat surface portion on which a femoral region and buttocks of the measurement subject are to be placed and a seat back capable of being disposed along a back of the measurement subject. The at least one sensor includes a side-portion sensor that is disposed below a side edge of the seat surface portion.

Disclosed are a multiple physiological data collection device and system that collect, manually mark, sampling—physiological data for machine learning and AI analyses in a single operation background. Physiological data uploaded by sensing devices of different type and function, described in different formation, recorded at different times and/or pertaining to different person can be processed in one system. The invented system comprises a data uploading device, a data storage device and a data edition device and, optionally, an automated data analysis device.