Abstract: An image-based hemoglobin estimation tool for measuring hemoglobin can be embedded in handheld devices such as smartphones, and similar known and to be developed technology. The hand-held device acquires video data of a finger illuminated from the dorsal surface by a first near infrared light responsive to hemoglobin and a second near infrared light near responsive to plasma. The acquired video is segmented into frames and processed to produce a Photoplethysmography (PPG) waveform. The features of the PPG waveform can then be identified, and the waveform and corresponding features evaluated by a predictive hemoglobin model. The predictive hemoglobin model can be provided at a remote computer, enabling non-invasive hemoglobin analysis from point of care locations. Near infrared lights of 850 nm and 1070 nm are particularly effective in the process.

Abstract: A disposable biosensor that includes a sensing surface having at least a working electrode portion and a reference electrode portion, a first reagent disposed on the working electrode portion containing a NAD(P)-dependent dehydrogenase, NAD(P)+, diaphorase, and an oxidized form of a redox mediator forming a working electrode, and a reference electrode material disposed on the reference electrode portion forming a reference electrode.

Abstract: A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects.

Abstract: A closed type arterial blood collection apparatus is disclosed. The closed type arterial blood collection apparatus includes a saline bag provided at a lower end thereof with a first port and a second port, an A line configured to connect an arterial blood vessel of a patient to the first port, a first three-way valve configured to open and close the A line, a blood collection unit configured to collect arterial blood through the first three-way valve, a second three-way valve provided between the first three-way valve and the first port, the second three-way valve being configured to open and close the A line, a guide tube configured to connect the second three-way valve to the second port, and a fluid conveying means configured to convey a fluid in the guide tube when the A line and the guide tube are connected to each other.

Abstract: In order to solve such a problem, the invention provides a blood collection system used for collecting blood of a subject and a blood collection method executed in the blood collection system. The blood collection system punctures a finger of the subject with a puncture needle; and then supplies pressurized air to a cuff attached to the finger of the subject in a rolling manner so as to inflate the cuff and apply a predetermined pressure to the finger of the subject.

Abstract: A blood sampling transfer device that includes a lancing tape having a flow channel and a transfer cartridge removably connected to the lancing tape is disclosed. The blood sampling transfer device provides a closed system that reduces the exposure of a blood sample to both skin and environment and provides fast mixing of a blood sample with a sample stabilizer.

Abstract: Described herein are methods and systems for isolating exosomes or extracellular vesicles from a blood sample. In one embodiment, the method comprises isolating and fractionating whole blood and using beads to shear platelets and leukocytes causing the release of exosomes or extracellular vesicles. The resulting exosome-rich platelet rich plasma (ER-PRP) can be further refined by microfiltration.

Abstract: A blood collection unit is suitable for accelerated blood coagulation of whole blood for subsequent autologous or allogeneic use. The blood collection unit includes an inside surface that has an activation site which accelerates coagulation by having a high roughness. A blood collection unit including an inside surface that has an activation site having a high roughness area, and an interior of the blood collection unit is prepared with a pressure of no more than 255 mBar, and preferably a pressure of no more than 130 mBar.

Abstract: A safety lancet includes a housing, a needle core, a pusher and a launching spring, the front end of the needle core having a protective rod, the side of the needle core having an elastic arm having a protrusion; a sliding platform is provided for the protrusion on the inner wall of the housing, and the front end face of the sliding platform is the triggering surface for triggering launching the lancet, and the tabletop of the sliding platform is a sliding surface in the length direction of the lancet; the distance of the decoupling point of the projection relative to the center of the lancet is greater than or equal to the distance of the sliding surface relative to the center of the lancet; a stopper is on the protection rod, and corresponding to the stopper a second limit surface is on the inner wall of the pusher.

Abstract: Embodiments described herein include portable devices having user-detection equipment, such as eye-tracker devices or other sensors, and computer systems including such portable devices or the data collected from such devices (such as eye-tracking data and/or other multi-modal data such as facial expressions, verbal expression, and/or physical movements). Some examples of the systems include can provide useful assessments for developmental disorders and can generate prescriptive treatment plans having individual time lengths for different treatment-specific skill areas during a period of time.

Abstract: An emotion analysis and recognition system including an automated recognition of bodily expression of emotion (ARBEE) system is described. The system may include program instructions executable by a processor to: receive a plurality of body movement models, each body movement model generated based on a crowdsourced body language dataset, calculate at least one evaluation metric for each body movement model, select a highest ranked body movement model based on the at least one metric calculated for each body movement model, combine the highest ranked body movement model with at least one other body movement model of the plurality of body movement models, calculate at least one evaluation metric for each combination of body movement models, and determine a highest ranked combination of body movement models to predict a bodily expression of emotion.

Abstract: A method for recognizing a participating activity and computing an attention level of a subject from multi-model signals, comprising receiving the multi-model signals comprising an electroencephalogram (EEG) signal, a photoplethysmography (PPG) signal, an image/video signal, an audio signal, and an inertial measurement signal. The method further comprises executing an activity recognition to predict an activity type of a participating activity being performed by the subject using one or more of the multi-model signals; and executing an attention level computation to predict the subject's attention level in performing the participating activity using one or more of the multi-model signals.

Abstract: A system for classifying working memory task magnetoencephalography based on machine learning, including: the magnetoencephalography data acquisition module configured to acquire magnetoencephalography data of a subject in different working memory task states; the magnetoencephalography data preprocessing module configured to control the quality of magnetoencephalography data in different working memory tasks and separate noises and artifacts; the magnetoencephalography source reconstruction module configured for sensor signal analysis and source reconstruction analysis for the data processed by the magnetoencephalography data preprocessing module; and the machine learning classification module is configured to classify the working memory tasks to which the subjects belong by taking power time series as features.

Abstract: Biometric information about a person may be collected and analyzed to gain insight into the person's physical and/or emotional conditions. The collection and analysis may be performed using a uniquely designed sensing device that includes multiple sets of sensors configured to collect EEG, EOG, EMG, EDA, and/or PPG signals from the person's head and/or facial areas. The sensing device may include a multi-layered facepad and may be coupled to a VR/AR headset and/or a scalp engagement apparatus to monitor the person's physiological and/or neural reactions to audio/visual stimuli.

Abstract: A biological sensor includes a sensor body configured to obtain biological information; a cover member having a housing space and an opening of the housing space, the sensor body being housed in the housing space; a first sheet member provided to face the opening in the cover member; and a second sheet member provided to face the cover member with the first sheet member being between the second sheet and the cover member. At least a part of an outer periphery of the first sheet member projects with respect to outer peripheries of the cover member and the second sheet member. Thereby, it is possible to provide a biological sensor that can be suppressed from being detached from a living body, and can suppress reduction in attachment sensation due to deformation of skin caused by a body movement of the living body.

Abstract: An electrocardiographic testing method uses clothes having at least the three measurement electrodes or a measurement electrode attachment part and a connector part for fixing a measurement device. The clothes have at least two or more different sizes. The clothes have a neckline encircles the neck. The first measurement electrode or its measurement electrode mounting part is arranged within a circle with a radius of 5 cm is centered around a position that 7.5 to 15 cm downward from a center point of a straight line connecting to vertices of a left and a right of the neckline. The method includes obtaining a physique information of a patient, selecting a size of clothes according to the physique information of the patient, giving the selected clothes and the measuring device to the patient, the patient putting on the clothes and the measurement device, and starting the electrocardiogram measurement.

Abstract: An electronic device for long-term adhesion to a mammal includes a housing with an electronic component. The electronic device may include a first wing and a second wing, each being integrally formed with the housing. An electrode is positioned on a bottom surface of each of the wings, the electrodes electrically connected to the electronic component. An adhesive layer is provided for adhesion to a surface of the mammal. The adhesive layer may cover a portion of the bottom surfaces of the wings but generally does not cover the electrode or a bottom surface of the housing. A method of applying an electronic device to a mammal includes removing first and second adhesive covers from first and second wings of the electronic device to expose an electrode and an adhesive coated on a bottom surface of each wing.

Abstract: An electronic device for long-term adhesion to a mammal includes a housing with an electronic component. The electronic device may include a first wing and a second wing, each being integrally formed with the housing. An electrode is positioned on a bottom surface of each of the wings, the electrodes electrically connected to the electronic component. An adhesive layer is provided for adhesion to a surface of the mammal. The adhesive layer may cover a portion of the bottom surfaces of the wings but generally does not cover the electrode or a bottom surface of the housing. A method of applying an electronic device to a mammal includes removing first and second adhesive covers from first and second wings of the electronic device to expose an electrode and an adhesive coated on a bottom surface of each wing.

Abstract: According to some embodiments, a device for sensing neuromuscular signals is provided. The device may comprise a plurality of signal electrodes aligned along an interior portion of a wearable structure, each signal electrode being configured to detect neuromuscular signals. The device may comprise a plurality of amplifiers, wherein each amplifier includes (i) a first input operatively coupled to a corresponding signal electrode, (ii) an inverting input, and (iii) an output corresponding to a neuromuscular signal channel. The device may comprise one or more buffers configured to tap a voltage at the inverting input of a respective amplifier of the plurality of amplifiers. The device may comprise circuitry configured to operatively couple a plurality of outputs of the plurality of amplifiers to generate a common mode reference signal, wherein the common mode reference signal is provided to the inverting input of one or more amplifiers of the plurality of amplifiers.

Abstract: An apparatus is provided. A strip has first and second end sections, and a first face and second face. Two electrocardiographic electrodes are provided on the strip with one of the electrocardiographic electrodes provided on the first face of the first end section of the strip and another of the electrocardiographic electrodes positioned on the first face on the second end section of the strip. A flexible circuit is mounted to the second face of the strip and includes a circuit trace electrically coupled to each of the electrocardiographic electrodes. The apparatus includes a wireless transceiver and a battery.

Abstract: Systems and methods for correcting an electrocardiogram (ECG) impacted by the magnetohydrodynamic (MHD) effect are provided. The systems and methods derive patient information from images captured by a camera, and use this information to calculate a T-wave correction factor used to counteract the amplification of the T-wave due to the MHD effect. While the patient undergoes an MRI scan, an ECG monitor captures an ECG signal for the patient, and the camera captures a series of images of the patient. The series of images are provided to the image processing unit (IPU). The IPU processes the images to derive patient information to calculate the T-wave correction factor. The IPU then attenuates the amplitude of the T-wave of the captured ECG signal to generate a corrected ECG signal. This corrected ECG signal is then used by the MRI scanner for more accurate gated imaging.

Abstract: Disclosed systems and method receive electrocardiogram (EKG) data of a subject. The EKG data comprises a record of at least a full beat of the subject. The EKG data is input into a machine learning model to generate an output. The output can include a segmentation of the full beat or a measurement of a QT interval of the subject.

Abstract: An apparatus for predicting atrial fibrillation (AF) operated by at least one processor includes an electrocardiogram (ECG) preprocessor configured to acquire individual ECG pairs measured at a certain period of time and generate a difference between the ECG pairs as input data for an artificial intelligence model, an artificial intelligence model configured to be trained to predict an onset-AF possibility from an ECG difference and output a probability of onset-AF predicted from the input data, and a prediction information provider configured to provide an AF prediction including the probability of onset-AF to a designated device.

Abstract: A method for estimating arrhythmia using artificial neural networks includes: extracting, by a plurality of attention heads of a system, feature vectors related to different types of arrhythmic state from a target biosignal of a subject with respect to the respective attention heads, and combining the extracted feature vectors by weighting and averaging the feature vectors on the basis of weights of the respective attention heads to derive a unified feature vector; determining, by a classifier of the system, a result of prediction of a type of arrhythmic state to which the target biosignal corresponds as a classification probability, on the basis of the unified feature vector, and determining a level of confidence in the prediction; and combining, by a combination layer of the system, the classification probability and the prediction confidence level to derive a final probability of the type of arrhythmic state to which the target biosignal corresponds.

Abstract: A system to decode communication signals includes a memory configured to store brain signals, where the brain signals originate from non-frontal, non-post-central cortices of a brain of a person. The system also includes a processor operatively coupled to the memory. The processor is configured to perform signal processing on the brain signals to identify one or more brain signal features. The processor is also configured to determine, based on the one or more identified brain signal features, whether the person intends to speak. Responsive to a determination that the person intends to speak, the processor identifies phonemes corresponding to the brain signals.

Abstract: Effective augmented telepathic communication is provided as a gadget-free extension of human senses. The conveyance of mental information and cognitive processes to perceive or communicate being made possible by data structures for generating and maintaining representations of biological systems activity with auditory, visual, kinesthetic, tactile, emotion, movement, smell, taste, and concept data in a computing environment. One or more methods include steps for representing brain, nervous system, and sensory systems activity with mental information and cognitive processes as data for incorporating values with applications, systems, or instance relevant computing environments.

Abstract: A method for selecting data derived from an electroencephalogram, in the form of a set of starting scalograms, each scalogram being calculated from a portion of an electroencephalographic signal. The method includes: extracting, via an artificial neural network, a set of candidate scalograms; and for some candidate scalograms of the set of candidate scalograms: calculating characteristics of the electroencephalographic signal portion corresponding to the candidate scalogram; and when the plurality of characteristics are within prerequisite value ranges, selecting the electroencephalographic signal portion of the candidate scalogram within an electroencephalographic signal selection data structure.

Abstract: A system includes one or more processors, coupled with memory, to generate, according to a model corresponding to a state of a network of neurons of a brain of a predetermined patient, a first matrix indicative of activity among a plurality of neurons of the brain during an event of the brain corresponding to epilepsy, modify, according to the model, one or more elements of the first matrix into a second matrix indicative of mitigation of the event for the plurality of neurons, and provide, to the patient to mitigate the event according to the second matrix, a therapeutic response having a physical property based on the first matrix and the second matrix.

Abstract: A neuroelectrophysiological monitoring apparatus (100), the neuroelectrophysiological monitoring apparatus (100) including: a urethra testing device, the urethra testing device being provided with a bladder pressure measuring member and a first myoelectricity measuring member; a rectum testing device, the rectum testing device being provided with a rectum pressure measuring member and a second myoelectricity measuring member; and a monitoring module (13), the monitoring module being electrically connected to the bladder pressure measuring member, the first myoelectricity measuring member, the rectum pressure measuring member and the second myoelectricity measuring member, respectively.

Abstract: Disclosed electroencephalogram (EEG) monitoring and detection systems and methods can detect differentiated electrographic seizure characteristics of different seizure types across a diverse group of patients. Disclosed systems and methods can utilize EEG data collected by discrete wireless EEG sensors positioned on a scalp of a patient.

Abstract: Disclosed electroencephalogram (EEG) monitoring and detection systems and methods can detect differentiated electrographic seizure characteristics of different seizure types across a diverse group of patients. Disclosed systems and methods can utilize EEG data collected by discrete wireless EEG sensors positioned on a scalp of a patient.

Abstract: Disclosed electroencephalogram (EEG) monitoring and detection systems and methods can detect differentiated electrographic seizure characteristics of different seizure types across a diverse group of patients. Disclosed systems and methods can utilize EEG data collected by discrete wireless EEG sensors positioned on a scalp of a patient.

Abstract: Disclosed electroencephalogram (EEG) monitoring and detection systems and methods can detect differentiated electrographic seizure characteristics of different seizure types across a diverse group of patients. Disclosed systems and methods can utilize EEG data collected by discrete wireless EEG sensors positioned on a scalp of a patient.

Abstract: Disclosed electroencephalogram (EEG) monitoring and detection systems and methods can detect differentiated electrographic seizure characteristics of different seizure types across a diverse group of patients. Disclosed systems and methods can utilize EEG data collected by discrete wireless EEG sensors positioned on a scalp of a patient.

Abstract: Disclosed electroencephalogram (EEG) monitoring and detection systems and methods can detect differentiated electrographic seizure characteristics of different seizure types across a diverse group of patients. Disclosed systems and methods can utilize EEG data collected by discrete wireless EEG sensors positioned on a scalp of a patient.

Abstract: The present invention introduces a system (S) and method for automatic detection of epileptogenic focus (EF) in pharmacoresistant epilepsy using an asymmetry index in FDG-PET images. The system (S) comprises of an acquisition unit for capturing FDG-PET scans and simultaneous whole-brain MRI images, a storage and communication unit for managing the acquired data, and a computation unit for processing and generating asymmetry index (AI) images. The method of the present invention comprises of a novel technique, PET asymmetry after anatomical symmetrization coregistered to MRI (PASCOM), to the AI images and is independent of healthy control PET data, facilitating implementation and multicenter translation. The method is effective in localizing the epileptogenic zone, especially in MRI-negative patient (Su), and can detect epileptogenic focus (EF) independently.

Abstract: The automated allergy office system comprises an augmented reality system, a multiple allergy test system, and a learning software system. The augmented reality system selects a test site upon the skin of the patient that is relatively clear of discoloration. The multiple allergy test system includes an applicator in cooperative engageable with a fluid tray. The applicator delivers trace amounts of individual allergens into a plurality of individual locations proximate to the test site. The software system provides the allergy doctor with a software-generated treatment plan based upon EMRs of the patient in combination a photograph of the test site taken at least 15 minutes after the allergens have been inserted under the skin of the patient. The software system provides the doctor with an override to the software-generated treatment plan, the override being used to modify the software-generated treatment plan to improve subsequent diagnostics and treatment procedures.

Abstract: Disclosed herein is a multi-modal sensor system, including a wearable device configured to receive signals relating to a swallowing process of a subject, the wearable device including one or more surface Electromyograph sensors configured to receive signals relating to electrical potential in muscles of the throat, one or more bio-impedance sensors, one or more memories, one or more processors configured to operate one or more sensors of the wearable device, synchronize the signals to one or more predetermined events to generate a synchronization feature, receive the signals as a first diagnostic data set, analyze the first diagnostic data set, assess, based on the analysis, the swallowing process of the subject to yield an assessment output, and present the assessment output and determine a bio-impedance signal.

Abstract: Disclosed herein is a computer-implemented method of optically determining an estimated age of a skin of a living being. The method includes: i. using at least one sample reflection spectrum of at least one portion of the skin of the living being over a spectral measurement range, the spectral measurement range including at least one portion of the wavelength range of from 1 ?m to 2.5 ?m; and ii. determining the estimated age of the skin of the living being by applying, to the sample reflection spectrum, at least one trained trainable model. The trainable model is trained on a training dataset including a plurality of labeled reference reflection spectra. Each of the reference reflection spectra is acquired over a spectral range at least partially overlapping with the spectral measurement range of the sample reflection spectrum of step i.

Abstract: The present technology relates to a kit for acquisition of human anatomy and a relationship of structures to each other for therapeutic or elective purposes including dental impression acquisition that can be employed by consumers to obtain an impression of their teeth that can be used to form a custom-fit mouthguard.

Abstract: A dialogue system, comprising: an input configured to obtain input data relating to speech or text provided by a user; an output configured to provide output data relating to speech or text to a user; and one or more processors, the one or more processors being configured to: receive, by way of the input, input data relating to speech or text provided by a user; receive, at a first module, structured information comprising information relating to a clinical state of the user, the structured information being generated from the input data, the first module comprising a subject understanding module and a subject recommendation module, wherein the subject understanding module comprises one or more subject understanding models, each of the one or more subject understanding models configured to take as input the structured information and provide as output subject profile information; generate, at the subject understanding module, subject profile information based on the structured information; determine a subject

Abstract: A bed receives one or more data streams. The bed can provide, as input, sleep-data for the user to a disorder-risk classifier and receive, as output, a disorder-risk metric. The disorder-risk classifier can include a model defining relationships between sleep-data and disorder risk. The bed can use the disorder-risk metric for the user reflective of risk that the user will or is experiencing symptoms consistent with a disorder. The bed can intermittently update, after generating the disorder-risk metric, the disorder-risk metric using the data streams by changing the model.

Abstract: A sleep monitoring and disturbance mitigation system may include a sleep status monitoring apparatus configured to collect real-time sleep data from a subject; to determine a sleep status based at least partially on the sleep data; and to transmit the real-time sleep data and sleep status to a remote receiving station; and a remote receiving station configured to receive the real-time sleep status data and the sleep status from the sleep status monitoring apparatus; to generate, based at least partially on the real-time sleep data and sleep status, a sleep disturbance priority and a sleep disturbance message including data indicative of the sleep status and the sleep disturbance priority; and to display the sleep disturbance priority message on a display located remotely from the sleep status monitoring apparatus. The sleep status monitoring apparatus may be configured to wirelessly transmit the real-time sleep data and sleep status. Real-time sleep data may include EEG data.

Abstract: A device that may include, or communicate with, sensors such as an electrocardiogram (ECG) sensor, an accelerometer, and/or a photoplethysmograph (PPG) detects sleep-disordered breathing (SDB) events of a patient based on signals from the sensors. The device may have a processor configured to make the detection(s). In an example, the processor may access a memory with processor control instructions. The instructions may be adapted to configure the processor to carry out the detection methodology. The method may include analysing an ECG data of the patient from a signal generated by the ECG sensor, pulse oximetry data of the patient from a signal generated by the PPG, and a three-dimensional (3D) accelerometry data of the patient from a signal generated by the accelerometer to detect the SDB events. The device and methods may be used for screening, diagnosis and monitoring of respiratory disorders.

Abstract: Provided are a stimulation adjustment device, a stimulation adjustment method, and a stimulation adjustment program that can automatically adjust the intensity of stimulation presented to a user. A stimulation adjustment device according to one embodiment includes: a signal input unit to which a measurement signal of electrodermal activity of a user is input; an analysis unit that analyzes the electrodermal activity on the basis of the measurement signal; an adjustment unit that generates an instruction signal for adjusting an intensity of stimulation presented to the user according to a result of the analysis of the electrodermal activity; and a signal output unit that outputs the instruction signal.

Abstract: Heart valves are provided, comprising a heart valve and a plurality of sensors.

Abstract: Methods and systems are provided for aiding a subject of a medical imaging exam in performing coached breathing. In one embodiment, a method for a medical imaging system comprises generating a three-dimensional (3-D) virtual representation of a portion of a surface of a chest and/or abdomen of a subject of the medical imaging system, the portion adjustable in size by an operator of the medical imaging system; displaying changes in the 3-D virtual representation to the subject on a display device of the medical imaging system while the subject breathes, in real time; displaying instructions to the subject on the display device to perform coached breathing in accordance with a selected breathing pattern, using the 3-D virtual representation as a guide; and in response to detecting a deviation of a breathing pattern of the subject from the selected breathing pattern, indicating the deviation to the subject.

Abstract: Systems and methods for assessing compliance with position therapy. In an embodiment, position therapy is provided to a user while the user is wearing a position therapy device. The position therapy comprises, by the device, collecting positional data, determining positions of the user over a time period based on the positional data, and, when it is determined that the user is in a target position, providing feedback to the user to influence the user to change to a non-target position. In addition, the device stores a duration of use in its memory. The duration of use indicates a duration that the user has used the wearable position therapy device in each of one or more positions. An assessment of the user's compliance with the position therapy is then provided based, at least in part, on the duration of use.

Abstract: This invention pertains to a portable device for individualised measurements of energy expenditures and calculating energy intakes and balances of humans and air-breathing animals. Said device utilises algorithms that use a relation between the cumulative energy expenditure and the pulmonary and the cutaneous respirations of a user of said device; and a relation between said pulmonary tidal volume and at least one of the respiration and the hearth frequencies of said user; and a relation between the cumulative energy intake and the masses of carbohydrates, fats and proteins in the dietary intake of said user; wherein the energy balance of said user is the difference between the cumulative energy expenditure and the cumulative energy intake. Data received from a pulse frequency sensor is sufficient for routine operation of said device.

Abstract: A wearable unit is provided including a plurality of sensors including a temperature sensor configured to sense a temperature of a patient, a pulse oximeter configured to sense an oxygen saturation of the patient, an accelerometer configured to sense a breathing pattern of the patient, a skin conductance sensor configured to sense a skin conductance of the patient, and an electrocardiogram (ECG) monitor configured to sense an ECG pattern of the patient. The wearable unit may be configured to be worn on the patient's wrist or may be configured to be worn in the patient's ear. Information output by the sensors may be used to determine whether the patient is hyperglycemic or hypoglycemic and to provide an alert the patient or patient's caregiver. Information from the wearable unit may be wirelessly transmitted to an external device.