Monitoring apparatus for monitoring the pulse transit time and/or estimating one or more blood pressure parameters of a subject and the method of use of the monitoring apparatus. The apparatus comprises an upper arm unit for attaching to a subject's upper arm in use and comprising at least one motion sensor, a photoplethysmograph comprising at least one light source and at least one light detector and at least one display.

A blood pressure estimating apparatus includes a sensor configured to obtain a bio-signal of an object; and a processor configured to extract a first cardiovascular feature and a second cardiovascular feature based on the bio-signal, and estimate blood pressure based on a first changing tendency of the first cardiovascular feature from a first reference level and a second changing tendency of the second cardiovascular feature from a second reference level, the first changing tendency and the second changing tendency being independent from each other.

A cardiac health assessment system and method for use with a handheld electronic device. The cardiac health assessment system includes an electronic device case (EDC), a plurality of electrodes, and a circuit board. The EDC secures the handheld electronic device. The electrodes include a first ECG electrode, a second ECG electrode, and a third electrode. The first ECG electrode is placed on an outer surface of the EDC. The second ECG electrode and the third electrode are placed on each side of the EDC to facilitate a thumb and fingers of a user to be placed on the handheld electronic device. The electrodes capture data indicative of the cardiac health of the user. The circuit board includes a microphonic sensor, an Inertial Measurement Unit (IMU) sensor, and a microcontroller. The microphonic sensor and IMU sensor capture cardiac health data. The microcontroller transmits cardiac health data to the handheld electronic device.

The present invention relates to a device, system and a method for generating a photoplethysmographic image carrying vital sign information of a subject. To provide an increased validity and robustness against motion, in particular against ballistocardiographic motion, the proposed device comprises an input interface (30) for obtaining image data of a skin region of a subject in at least two different wavelength channels, said image data comprising two or more image frames acquired by detecting light transmitted through or reflected from the skin region over time, wherein said image data comprise wavelength-dependent reflection or transmission information in said at least two different wavelength channels, a combination unit (31) for combining, per pixel or group of pixels and per time instant, image data values of said at least two different wavelength channels to obtain a time-variant pulse signal per pixel or group of pixels, and an image generation unit (32) for generating a photoplethysmographic image from a property of the respective pulse signals in a time window including at least two image frames.

A monitoring device comprising at least one measurement module for measuring at least one physiological parameter of the crew member, at least one consolidation module for consolidating the measured physiological parameter or parameters, a fusion module for fusing the consolidated physiological parameter or parameters in order to detect at least one physiological status of the crew member, a filtering module for filtering the physiological status or statuses, a determination module for determining a level of incapacity of the crew member, a transmission module for transmitting a signal indicative of the level of incapacity of the crew member to a user device.

The present specification describes a system for diagnosing or screening one or more pathologies in a patient. The system includes a headset with at least one microphone or accelerometer to passively receive vibrations generated by the cerebral vasculature of the patient's brain, computing devices coupled with the headset for processing the received vibrations to obtain a unique signal, and a signal analyzer to analyze the signal in order to determine if the data includes patterns uniquely indicative of at least one of tension headaches, migraines, depression, dementia, Alzheimer's disease, epilepsy, Parkinson's disease, autism, cerebral vasospasm and meningitis.

Described herein are multifunctional smart beds and methods of operating thereof. Specifically, a multifunctional smart bed comprises a controller, configured to receive input from various sensors (e.g., load cells positioned in bed legs, thermometers, and/or microphones) and/or user. These inputs are analyzed and used to control various bed components to improve the sleep quality, to monitor users' health, score couple's relationship, and the like. For example, these inputs may be used to control the firmness of different mattress portions, change orientations of the head, torso, and/or leg sections, adjust the light, and the like. In some examples, the smart bed generates a report indicating one or more sleep duration, sleep depth profile, sleep scope, heart rate, breath rate, environment conditions, couple's relationship, and the like. Furthermore, in some examples, a multifunctional smart bed is also configured to control external devices in the same environment, e.g., smart switches, smart thermostats.

A chest non-invasive blood pressure detecting probe based on pulse wave transit time and a device thereof are provided. The detecting probe is attached closely to the skin surface of the human chest, and includes a probe body and a patch, which are of split type. The patch is attached and mounted, in a male-female fastener form, on the probe body for use, so that when the patch needs to be replaced, the patch is directly removed and replaced with a new patch, which is convenient for use. The detecting probe is portable and used for continuous dynamic real-time acquiring of the human aortic blood pressure, which is free from the constraints of lead wires, small and comfortable, and high in measuring precision.

A bed integrates sensors and other inputs to detect specific sleep environment conditions including point-specific pressure and/or temperature conditions. The bed includes a controller for commanding actuator or other devices to adjust these conditions. The controller may do so based on reference patterns for conditions and profiles of desired conditions. Information regarding the conditions may be provided to a remote computer, which may analyze the conditions and provide revised profiles of desired conditions.

The exemplified methods and systems facilitate the use, for diagnostics, monitoring, or treatment, of one or more cycle variability based features or parameters determined from biophysical signals such as cardiac or photoplethysmography signals that are acquired non-invasively from surface sensors placed on a patient while the patient is at rest. The estimated metric may be used to assist a physician or other healthcare provider in diagnosing the presence or non-presence and/or severity and/or localization of diseases or conditions or in the treatment of said diseases or conditions.