Abstract: A method is directed to continuously, non-invasively, and directly measuring blood pressure, and includes providing a calibrated measurement device having a blood-flow control balloon and a sensor array. The method further includes placing the sensor array in a non-invasive manner over the surface of a patch of skin connected to an artery by adjoining soft tissues and inflating the blood-flow control balloon with a controlled amount of pressure. In response to the inflating of the blood-flow control balloon, changes in the artery geometry and forces are detected, via the sensor array, during a heartbeat cycle. The changes correspond to spatio-temporal signals from the artery or in the adjoining soft tissues. The spatio-temporal signals are measured and processed, via a controller, to determine blood-pressure parameters.

Abstract: A diagnostic system is used for measuring and analyzing startle response of a subject for diagnosis of traumatic brain injuries (TBI) such as concussions. The diagnostic system includes a stimuli delivery circuitry, whereby startle stimuli are delivered to the subject. The diagnostic system comprises at least one sensor circuitry, whereby the startle response of the subject are detected and recorded. The sensor circuitry comprises at least one muscle startle response measuring means, and said diagnostic system comprises a diagnosis circuitry whereby the features of the startle response are extracted and analyzed.

Abstract: A biosensor apparatus comprises a biosensor device and a cover that is configured to attach to the biosensor device. The biosensor device includes a surface section that is disposed above the user's skin and an implantable section that is injected into the user's skin. The implantable section includes a bending detector and sensing circuitry. The sensing circuitry includes one or multiples of a biomarker sensor array, a control biomarker sensor array, a temperature sensor, and/or a biofouling detector.

Abstract: Direct usage of endosomatic EDA has multiple challenges for practical cognitive load assessment. Embodiments of the method and system disclosed provide a solution to the technical challenges in the art by directly using the bio-potential signals to implement endosomatic approach for assessment of cognitive load. The method utilizes a multichannel wearable endosomatic device capable of acquiring and combining multiple bio-potentials, which are biomarkers of cognitive load experienced by a subject performing a cognitive task. Further, extracts information for classification of the cognitive load, from the acquired bio-signals using a set of statistical and a set of spectral features. Furthermore, utilizes a feature selection approach to identify a set of optimum features to train a Machine Learning (ML) based task classifier to classify the cognitive load experienced by a subject into high load task and low load task.

Abstract: Systems, devices, and methods are described herein for ensuring constant contact of a physiological sensor with a subject. A device may include a wearable band wearable by the subject, an elastic coupling member, a sensor module coupled by the elastic coupling member to the wearable band, a housing attached to the wearable band, a processor, and a user interface. The wearable band may include a recess extending into the wearable band. The elastic coupling member and/or the sensor module may be disposed within the recess. As the subject wears the wearable band, the elastic coupling member may press the sensor module against the subject and may cause constant contact between the sensor module and the subject. Electrical tracing embedded in the wearable band and extending from the sensor module to the housing may couple the sensor module to the processor or the user interface.

Abstract: Disclosed are a method for diagnosing a vascular disease and an apparatus therefor. A vascular disease diagnosing method according to an exemplary embodiment of the present disclosure includes: an information acquiring step of acquiring patient information for a diagnosis subject; an FFR processing step of applying a geometric feature parameter information generated based on the patient information to a first learning model to calculate fractional flow reserve (FFR) information; a CFD processing step of applying the geometric feature parameter information to computational fluid dynamics (CFD) to calculate flow feature information; and a diagnosing step of determining a vascular disease based on the fractional flow reserve information and the flow feature information and determine whether to perform a surgery on the vascular disease.

Abstract: Devices and methods are provided for performing remote physiological monitoring of vital signs from one or more subjects. Camera pairs including an intensity camera and a depth camera are used to obtain intensity image data and depth image data that are then processed using one or more ROIs for extracting heart rate and respiratory waveforms from which the heart rate and respiratory rate may be estimated. In other embodiments, multiple ROIs may be used to obtain several heart rate and respiratory rate values which are then fused together. In some embodiments motion compensation may be used prior to generating the heart rate and respiratory waveforms. In other embodiments, multiple camera pairs may be used to obtain intensity and depth data from multiple fields of view which may be used to obtain several heart rate and respiratory rate values which are then fused together.

Abstract: Systems and methods for diagnosing a condition in an individual by analyzing the individual's breath are provided. Sensors may be configured to capture data associated with the breath of an individual. The data captured by the sensors may include a change in resistance measurements recorded by solid-state sensors when the sensors are exposed to the individual's breath at several different temperatures. This captured data may be analyzed to identify one or more volatile organic compound (VOC) biomarkers in the individual's breath. Based on the identified VOC biomarkers, a condition associated with the individual may be determined. For example, a medical condition, or a condition of drowsiness or fatigue associated with the individual may be determined based on the VOC biomarkers in the individual's breath. In some examples, the sensors may be positioned inside a vehicle for determination of condition associated with a driver of the vehicle.

Abstract: A system and method for cardiovascular monitoring and reporting are disclosed. The system (CV monitoring system) includes a data analysis system and an in-ear biosensor system that preferably includes left and right earbuds. The earbuds include infrasound/vibration sensors that detect biosignals from the individual including signals associated with cardiovascular activity (CV signals). The analysis system calculates cardiovascular function measurements (CV function measurements) based upon the CV signals. The CV monitoring system uses machine learning to predict blood pressure (BP) measurements of the individual based upon the CV signals and the calculated CV function measurements. In an embodiment, the CV monitoring system includes an EKG detection system that detects EKG signals associated with heart function.

Abstract: Systems and methods for a shape-memory in-ear biosensor for polysomnography and monitoring physiological signals are provided. Various embodiments include an earpiece made from a shape memory or temperature-dependent phase transition material embedded into polydimethylsiloxane elastomer body. The earpiece can use electrodes to detect physiological signals by making direct contact with a user's skin and without the use of electrically conductive gel. When heated above the glass transition temperature of the shape memory polymer, various embodiments of the biosensor may be folded. When cooled, the biosensor will maintain the folded shape. The folded biosensor may then be inserted into the ear canal of a user where, in response to heating by the user's body, it partially unfolds to conform to the shape of the ear canal.

Abstract: A medical apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to receive an input of test result information including a test result of each of tests that are related to a biological valve and were carried out at two or more different times; to estimate one of a test time for a follow-up observation of the biological valve and a test time for replacing the biological valve, on the basis of a chronological change in an open/close state of the biological valve derived from the received test result information; and to output the estimated test time.

Abstract: A system and method are provided for performing physical activity monitoring and fall detection of a subject using a wearable sensor including at least one audio sensor and at least one of an accelerometer, a gyroscope and a magnetometer. The method includes monitoring activities of the subject using the at least one of the accelerometer, the gyroscope and the magnetometer, and identifying a characteristic motion pattern based on the monitored activities; detecting an apparent fall experienced by the subject based on the identified at least one characteristic motion pattern; monitoring sounds provided by the at least one audio sensor following the detected apparent fall; determining whether the detected apparent fall is an actual fall experienced by the subject based on the monitored sounds; and communicating an indication of the actual fall to a monitoring system, enabling commencement of responsive action.

Abstract: This disclosure is directed to techniques for recording and recognizing physiological parameter patterns associated with symptoms. A medical device system includes a medical device including an accelerometer configured to collect an accelerometer signal that indicates one or more patient movements that occur during a cough. Additionally, the medical device system includes processing circuitry configured to: determine whether the accelerometer signal satisfies a set of criteria corresponding to a cough pattern comprising a smooth increase from a baseline, then a sharp decrease, a peak within the sharp decrease, then a gradual return to the baseline; and identify a cough based on the determination that the accelerometer signal satisfies the set of criteria.

Abstract: The present disclosure relates to an apparatus (100) for quantitative assessment of olfactory dysfunctions and neurocognitive deficits, the apparatus includes first filters (104-1) adapted to sterilize air received from an air pump, a second filter (106) filter odor molecules from the air, a manifold (108) adapted to split the sterilized air into a plurality of channels, at least one channel carries the sterilized air to a first MFC (110) and adjacent channels carry sterilized air to second MFCs (112). Each container in a reservoir (114) filled with an odorant different from adjacent containers, and a nozzle (118) adapted to receive the odorized air from the reservoir that is inhaled by a subject through an odor delivery unit (124), based on degree of variation in volumetric concentration of the odorants, quantitative assessment of olfactory dysfunction is determined.

Abstract: The present invention provides methods of utilizing a cranial implant to improve a mental, physical, physiological, and/or informational condition of a person. The method generally comprises steps of 1) obtaining signals from the cranial implant of the person, 2) processing the obtained signals to produce a visually renderable image, and 3) rendering the image on an intraocular display.

Abstract: A system (100) and a method for analyzing a physiological condition of a user. The system (100) comprises one or more sensors (102a, 102b) to measure one or more parameters including temperature and relative humidity from the user's skin and/or a corresponding temperature and relative humidity from the user's environment via an air gap. A signal representative of the measured parameters is generated. The system (100) also includes at least one transceiver (108) communicably connectable to the sensing unit (102) via one or more communication interfaces, wherein the transceiver (108) is configurable to analyze one or more received signals to initiate one or more events based on the analyzed parameters of the user. The system (100) further includes a processing unit (110) to receive one or more signals from the transceiver (108) and uses artificial intelligence and machine learning techniques to alert users of an impending physiological condition.

Abstract: An implantable extravascular pressure sensing system includes a cuff including a first brace portion affixed to a second brace portion and defining a longitudinal axis therebetween. The first brace portion defines a fluid chamber, the fluid chamber defining a recessed aperture. A first lateral restraint and a second lateral restraint are disposed between the first brace and the second brace, the first lateral restraint and the second lateral restraint being configured to be displaceable in a direction orthogonal to the longitudinal axis. A diaphragm is coupled to the fluid chamber and sealing the recessed aperture. A fluid is disposed within the fluid chamber for exhibiting a hydraulic pressure in communication with the diaphragm. A pressure sensor is coupled to the first brace portion, the pressure sensor being configured to measure a change in the hydraulic pressure when a force is imparted on the diaphragm.

Abstract: A physiological signal monitoring device includes a sensing member and a transmitter connected to the sensing member and including a circuit board that has electrical contacts, and a connecting port, which includes a socket communicated to the circuit board and a plurality of steel balls. The sensing member is removably inserted into the socket. The steel balls are electrically connected to the electrical contacts and the sensing member for enabling electric connection therebetween. Each of the steel balls is frictionally rotated by the sensing member during insertion of the sensing member into the socket and removal of the sensing member from the socket.

Abstract: A physiological signal monitoring device includes a sensing member and a transmitter connected to the sensing member and including a circuit board that has electrical contacts, and a connecting port, which includes a socket communicated to the circuit board and a plurality of conducting springs disposed at two opposite sides of the socket. The sensing member is removably inserted into the socket. The conducting springs are electrically connected to the electrical contacts and the sensing member for enabling electric connection therebetween. Each of the conducting springs is frictionally rotated by the sensing member during insertion of the sensing member into the socket and removal of the sensing member from the socket.

Abstract: An apparatus includes a magnetic-field transducer, and circuitry. The magnetic-field transducer is configured to be coupled externally to a body of a patient. The circuitry is configured to generate and apply to the magnetic-field transducer a time-varying signal, so as to generate a time-varying magnetic field outside the body of the patient, for supplying electrical energy by inductive coupling to an electronic device that is positioned inside the body, to estimate an intensity of the magnetic field that reaches the electronic device, and to assess fluid retention in an organ of the patient based on the estimated intensity of the magnetic field.