Abstract: A method of monitoring hydration including obtaining biological data for a given period of time, wherein the biological data includes measurements of one or more biological indicators; converting the biological data into a baseline value; obtaining real-time biological data from one or more biological sensors; performing a pre-processing analysis of the real-time biological data; comparing the real-time biological data with baseline value to create a hydration index.

Abstract: Disclosed are devices, systems and methods for implantable a biofuel cells. In some aspects, a biofuel cell device for extracting energy from a biological fluid includes a substrate including two compartments each with one or more openings; an anode assembly disposed in the substrate and including an anode electrode and functionalization material to facilitate an oxidative process that releases electrons captured at the anode electrode; and a cathode assembly disposed in the substrate separated from the anode assembly and including a catalytic material facilitate a chemical reduction process such that the biofuel cell device extracts electrical energy from the substance in the biological fluid.

Abstract: An apparatus for estimating a core body temperature of an object is provided. According to one embodiment, the apparatus includes a plurality of sensors configured to obtain data from an object and a processor configured to obtain a surface temperature, a heat flux, a skin blood flow rate, and a blood flow velocity by using the data obtained from the plurality of sensors, obtain a skin thermal conductivity based on the skin blood flow rate, and estimate a core body temperature of the object based on the surface temperature, the heat flux, the skin thermal conductivity, and the blood flow velocity of the object.

Abstract: A technology for obtaining a respiratory rate from a photoplethysmogram (PPG) signal. In one example, an artificial neural network model can be trained to predict a respiratory rate using a training dataset containing PPG data. The artificial neural network model can include a first series of convolutional layers to remove artifacts from a PPG signal, a fast Fourier transform (FFT) layer to convert the PPG signal to PPG frequency representations, and a dense layer to decode the PPG frequency representations to respiratory rate predictions. After training the artificial neural network model, PPG data generated by a pulse oximeter monitor can be obtained, and the PPG data can be input to the artificial neural network model. The artificial neural network model outputs a respiratory rate prediction, wherein the respiratory rate prediction represents the respiratory rate obtained from the PPG signal.

Abstract: A method of detecting the likelihood of a seizure event in a patient includes at successive expirations of a first time interval, determining a first likelihood that the patient is experiencing a seizure based on electrodermal activity and a movement of a limb of the patient. The method also includes at successive expirations of a second time interval, determining whether the patient experienced a seizure in a second time period preceding the determining based on a heart rate of the patient. In response to determining that the third comparison result satisfies at least a third detection criterion, the method compares electrodermal activity and the movement of a limb of the patient to determine a second likelihood. In response to determining that the second likelihood satisfies a second detection criterion, the method triggers presentation of a second alert regarding a potential seizure.

Abstract: In a sensor system (12), output signals of at least one PPG sensor (14) are processed to derive a modified pulse amplitude variation (PAV) value, being modified to take account of a baseline variation of the PPG sensor output signal. In particular, the modified PAV is derived through performing a modification step (42) in which either: a baseline variation of the PPG sensor output is derived and combined with a previously derived PAV, or, a PPG sensor output is first processed to perform baseline variation compensation, in advance of then deriving a PAV from the compensated signal.

Abstract: An eyewear device, method for use with an eyewear device, and a non-transient computer readable medium for detecting blood sugar levels are disclosed. The eyewear device has a frame including a first rim configured to support a first lens, a second rim configured to support a second lens, and a bridge connecting the first rim to the second rim. The bridge is configured to receive a nose of a user when the eyewear device is worn by the user. Blood sugar levels are detected by monitoring behavior of a pupil of an eye of the user with a sensor, comparing the monitored behavior with known blood sugar level behaviors, identifying a match responsive to the comparison between the monitored behavior and one of the known blood sugar level behaviors corresponding to a particular blood sugar level, and selecting the particular blood sugar level as a blood sugar level of the user.

Abstract: Systems and methods for assisting user with hearing by amplifying sound using an amplifier with gain and amplitude controls for a plurality of frequencies; and applying a learning machine to identify an aural environment and adjust the amplifiers for optimum hearing.

Abstract: Systems and methods to determine a risk factor related to dehydration and thermal stress of a subject are disclosed. Exemplary implementations may: generate output signals, by one or more sensors worn on a body of a subject, conveying information related to one or more of location of the subject, motion of the subject, temperature of the subject, cardiovascular parameters of the subject; store information related to the subject; obtain the output signals; determine in an ongoing manner, from the output signals, values of a water loss metric that correlates with estimated percentage of bodyweight of the subject lost in water; obtain heat index information for a contextual environment surrounding the subject; determine in an ongoing manner, from the output signals, values of an exertion metric that correlates with exertion of the subject due to work; and determine in an ongoing manner values for an aggregated risk factor of the subject.

Abstract: A method for augmenting a real-world scene viewed through augmented reality (AR) glasses includes determining that an overlay should be processed for a real-world person being viewed via the AR glasses, with the determining using artificial intelligence (AI) to identify a trigger scenario. The AI is configured to process a video stream of images captured of the real-world person using a camera of the AR glasses to identify the trigger scenario, which is associated with an intensity level exhibited by the real-world person. The method also includes identifying the overlay to replace a portion of the real-world person in the video stream of images, and generating an augmented video stream that includes the video stream composited with the overlay. The augmented video stream being presented via the AR glasses is configured to adjust the intensity level exhibited by the real-world person when viewed via the AR glasses.

Abstract: A component measurement device for measuring a given component contained in a sample. The component measurement device includes an excitation light source to emit excitation light onto the optical medium portion, a probe light source to emit probe light onto the optical medium portion, an intensity modulation unit to perform intensity modulation on the excitation light emitted by the excitation light source based on stratum corneum information about stratum corneum of the sample to generate intensity-modulated excitation light and emit the generated intensity-modulated excitation light onto the optical medium portion, and a measurement unit to measure the given component based on a difference between the probe light emitted from the optical medium portion in a first state where the excitation light is emitted and the probe light emitted from the optical medium portion in a second state where the intensity-modulated excitation light is emitted.

Abstract: A method to analyze an eye with a mobile device includes capturing an eye image using a mobile device camera coupled to a processor; capturing gyroscope or accelerometer readings as image metadata to aid in orientation normalization and image registration by the processor; extracting features of the eye using the image corrected with image metadata; and applying the extracted features to a deep learning neural network to detect eye focus data or eye gaze data.

Abstract: A mobile device includes a connector, an audio generator, a biological signal processor, a switch element, and a controller. The switch element has a first terminal and a second terminal. The first terminal of the switch element is coupled to the connector, and the second terminal of the switch element is selectively coupled to either the audio generator or the biological signal processor according to a control signal. The controller is coupled to the audio generator and the biological signal processor, and is configured to generate the control signal.

Abstract: The present disclosure relates to systems and methods for processing signals from wearable motion sensors associated with gait activity of a subject. In some cases, a signal representative of the gait activity of the subject may be received from the wearable motion sensors. One or more directional components of the signal, which are independent of an orientation of the wearable motion sensors on the subject, may be identified. One or more gait features may be extracted from the signal based on the one or more directional components of the signal. At least one of a diagnosis, a progression, a treatment, and a treatment response for a neurological dysfunction may be determined based on the one or more gait features.

Abstract: Disclosed is an isolated interface circuit for a modular energy system. A comparator is configured to couple to a switch and a reference voltage, and an output. A duplicate comparator is configured to couple to the switch and the reference voltage. An expander circuit is coupled to the comparator and the duplicate comparator. An isolator circuit is coupled to the expander circuit. A controller is coupled to the isolator circuit. The controller is configured to compare the output of the comparator with the output of the duplicate comparator and determine activation or deactivation of a surgical instrument coupled to the controller based on the comparison.

Abstract: The present disclosure relates to a subtle cornea deformation identification method and device based on a pixel-level corneal biomechanical parameter, including the following steps: step 1, sampling and analyzing a dynamic video of corneal stress deformation in a historical database, and calculating pixel-level data; and step 2, configuring an ensemble classifier based on a sampling result and detecting a local change in corneal biomechanics, thus identifying a subtle cornea deformation. The present disclosure has high measurement accuracy and is capable of detecting a local subtle biomechanical change.

Abstract: A wearable motion monitoring device including: a housing sized and shaped to be positioned between a body region of a subject and a garment worn by the subject; a marker included in the housing, the marker including at least one light emitter, wherein the light emitter is positioned to emit light from an upper surface of the marker, such that the at least one light emitter is indicative of displacements of the body region; and at least one garment holder incorporated in the housing, wherein the holder serves as an anchoring point between the marker and the garment, the garment overlying the marker when anchored by the at least one garment holder.

Abstract: Exemplary methods are provided for real-time assessment of a potential risk of an infectious disease, including receiving a predetermined acceptable range for an aspect of a human user's physiological measurement data, receiving a predetermined acceptable answer for a survey response question, securely receiving an aspect of the human user's physiological measurement data, determining if the aspect of the human user's physiological measurement data is within the predetermined acceptable range, if the aspect of the human user's physiological measurement data is within the predetermined acceptable range, transmitting to the human user a survey comprising a question, if the aspect of the human user's physiological measurement data is not within the predetermined acceptable range, transmitting an active alert and not providing the human user with the survey comprising a question, and if the human user fails to transmit an acceptable answer to the survey comprising the question, transmitting an active alert.

Abstract: A WCD system is configured to monitor various characteristics of the WCD system including about the patient. The WCD system is further configured to transmit a notification of a notifiable event to responders that are outside a local area of the patient, and to silence the notification for any responder(s) that are inside the local area of the patient.

Abstract: A method and apparatus for monitoring a subject's autoregulation function state is provided. The method includes: a) continuously sensing a tissue region of the subject with a tissue oximeter, the sensing producing first signals, and determining frequency domain tissue oxygen parameter values; b) continuously measuring a blood pressure level of the subject using a blood pressure sensing device, the measuring producing second signals, and determining frequency domain blood pressure values; c) determining a coherence value indicative of the subject's autoregulation state in each of a plurality of different frequency bands; and d) determining a peak coherence value indicative of the subject's autoregulation state based on the determined coherence value from each of the plurality of different frequency bands.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured to: obtain first nerve activity information indicating an activity of a nerve of a subject; estimate first feeling information indicating a feeling experienced by the subject on the basis of the first nerve activity information; and determine presentation information to enable an evaluator to experience the feeling of the subject, on the basis of the first feeling information.

Abstract: A user environment is controlled and altered based on one or more user conditions received from a biometric tracking services associated with a biometric device of a user. A user can set up a user profile that includes one or more user preferences including a biometric parameter, an asset parameter, a biometric service parameter and/or a location parameter. Based on the user preferences a user device and/or an access point device can control the user environment by altering one or more assets of one or more network devices specified by any one or more user preferences. The asset state of an asset can be altered based on one or more user conditions associated with a biometric parameter such that the user environment is automatically altered based on monitoring the one or more user conditions so as to provide the user an enhanced user environment experience.

Abstract: In general terms, the invention provides a circuit for delivering an electromagnetic signal to a human or animal body via contact with the skin of the body. The circuit comprises a plurality of printed layers provided on a base. The plurality of printed layers includes a first printed layer, and a second printed layer having a portion that overlays the first printed layer and a portion that overhangs the first printed layer. Optionally the portion that overhangs the first printed layer contacts the base or another of the printed layers of the plurality of printed layers.

Abstract: A system for providing a visual summary of a condition of a patient when traumatic brain injury (TBI) is suspected or diagnosed includes at least one patient condition sensor configured to sense data representative of a patient condition parameter of interest for a TBI patient; at least one airflow sensor configured to sense data representative of ventilations provided to the patient; at least one visual display for providing the visual summary to a user; and at least one controller. The at least one controller is configured to cause the visual display to provide the visual summary. The visual summary can include at least one visual representation of at least one patient condition parameter for each time interval of a plurality of time intervals, at least one visual representation of ventilation information, and a visual indication of when at least one patient condition parameter is outside of a target range.

Abstract: A portable electronic device may include a housing member defining a side surface of the portable electronic device, a portion of the housing member defining a side wall of a hole extending through the housing member, a button member positioned along the side surface and defining a chassis portion and a hollow post extending into the hole defined through the housing member, and a first waterproof seal defined between the hollow post and the side wall of the hole. The portable electronic device may also include a biometric sensing component coupled to the chassis portion, a flexible circuit element extending through the hollow post and conductively coupling the biometric sensing component to a component within the housing, and a second waterproof seal defined within the hollow post.

Abstract: The present disclosure includes systems and methods for deriving certain characteristics of the patient's body related to motion from captured motion data. The characteristics may be used to compare the characteristics of the supposed injury to the characteristics of a normally functioning body part as well as the functions of an injured body part. The present disclosure provides a reliable and reproducible way to determine whether a supposed injury is a feigned or exaggerated injury or an actual injury.

Abstract: A suction channel is made of a flexible resin, and is formed in a base. The suction channel suctions sweat that has come into contact with the detection electrode. The suction channel makes use of surface tension from micro channels to suction liquid into an interior from a suction port. A sodium ion detection electrode, a potassium ion detection electrode, and a reference electrode, which are detection electrodes for detecting ions contained in the sweat, are formed on an inner wall of a channel of the suction channel.

Abstract: An apparatus for generating a blood pressure estimation model includes: a signal acquirer configured to receive input a first signal and a second signal from a user; and a processor configured to obtain a pulse transit time (PTT) as a first predictor variable value based on the first signal and the second signal, to extract at least one feature from the second signal, to obtain a second predictor variable value based on the extracted at least one feature, and to generate a blood pressure estimation model based on the first predictor variable value and the second predictor variable value.

Abstract: An intraoperative nerve monitoring system for monitoring nerve activity within a trachea of a patient. The intraoperative nerve monitoring system includes an endotracheal (ET) tube assembly, which includes an ET tube partially inserted within a trachea and a surface electrode wrapped about the ET tube. The ET tube is configured to monitor nerve activity when the ET tube is partially inserted within the trachea and is contacting a target tissue and to output a nerve signal. The intraoperative nerve monitoring system also includes a pressure sensor assembly configured to sense an amount of pressure between the surface electrode and the target tissue and a console including an output device configured to output indicators based on the monitored nerve activity and the sensed amount of pressure to facilitate proper placement of the ET tube in the trachea and to indicate nerve activity.

Abstract: Apparatus for monitoring a clinical condition of a subject is described. A motion sensor senses motion of the subject without contacting or viewing the subject, and generates a sensed motion signal responsive to the sensed motion. A signal analyzer is adapted to analyze the motion signal to identify a cough in the subject. Other applications are also described.

Abstract: There is provided a glucose sensor system comprising: a transmitter (2) for containing a battery (212), the transmitter being for placement on top of patient skin; a transcutaneous connector (3) comprising at least one conductive path; and an implantable monolithic integrated circuit (I) for placement beneath the patient skin, wherein the implantable monolithic integrated circuit comprises a potentiostat and an electrochemical sensing element; wherein the potentiostat is electrically coupled to the transmitter (2) via the transcutaneous connector (3), and the electrochemical sensing element is configured to sense glucose concentration and generate an electrical signal representative of the glucose concentration, and wherein the potentiostat is electrically connected to the electrochemical sensing element.

Abstract: The present invention relates to a sensor for non-invasive optoacoustic measurements of biomechanical and/or morphological features of skin and/or other tissue.

Abstract: Described are novel systems for the diagnosis of specific mental disorders using neurometrics. EEG parameters are compared to thresholds to determine if a person is suffering from autism spectrum disorder, Alzheimer's disease, anxiety, depression, or schizophrenia.

Abstract: A method and an electronic apparatus is provided. A first UI indicating a start of an activity is displayed when first data indicating that the activity occurs is received from a first sensor. Information is displayed about a preset time or a preset intensity required for the activity to be converted into exercise. The preset time or the preset intensity is set based on user information related to a characteristic of a user. It is detected that the activity is maintained for at least one of the preset time or at the preset intensity. In response to the detecting that the activity is maintained, a second UI is displayed indicating a start of an exercise. A sensor is activated based on the start of the exercise and exercise history of the user. A function is executed for measuring exercise information by using second data received from the activated sensor.

Abstract: An electroanatomical mapping system can map electrical activation of tissue, and in particular create a slow conduction map, using a plurality of electrophysiology data points, each including local activation timing information, by computing a slow conduction metric for each point using the local activation timing information. The slow conduction metric can be used to classify points as no conduction points, slow conduction points, and normal conduction points, and the results can be graphically expressed, including as an animated representation of an activation wavefront propagating along a three-dimensional anatomical surface model.

Abstract: Video frames from a video are compressed into a single image or a single data structure that represents a unique visual flowprint or visual signature for a given activity being modeled from the video frames. The flowprint comprises a computed summary of the original pixel values associated with the video frames within the single image and the flowprint is specific to movements occurring within the video frames that are associated with the given activity. In an embodiment, the flowprint is provided as input to a machine-learning algorithm to allow the algorithm to perform object tracking and monitoring from the flowprint rather than from the video frames of the video, which substantially improves processor load and memory utilization on a device that executes the algorithm, and substantially improved responsiveness of the algorithm.

Abstract: In some implementations, a system includes a bed having a mattress. The system further includes a sensor configured to generate pressure data of the mattress. The system further includes a processor device configured to receive the pressure data; and determine a user state from at least the pressure data. The system further includes a user-interface device comprising user-interface hardware that is capable of providing user interfaces, the user-interface device configured to select, from a plurality of available user interfaces, a selected user interface; and providing the selected user interface to a user. Other systems, methods, devices, products, and software may be used.

Abstract: An incentive spirometry monitoring device and method of use. The device can be integrated to/made a part of an incentive spirometer and is capable of monitoring inspiration within the incentive spirometer. The incentive spirometry monitoring device has a user interface for inputting a variety of different parameters, including a desired air volume, as well as attempt thresholds. Results can be stored such that medical personnel can review attempts by a patient to monitor therapeutic use, as well as encouraging patient use.

Abstract: The present disclosure provides a calibration system and method for calibrating a physiological measurement based on a variable that affects the measurement. The variable can be a related physiological measurement. The technique can be implemented to obtain robust calibrations with minimal test data and computational effort.

Abstract: Presented are concepts for determining reliability of vital signs of a monitored subject. One such concept obtains activity data relating to detected activity or posture of the monitored subject. Based on the activity data and physiological data relating to one or more physical or physiological attributes of the monitored subject, a measure of reliability of vital signs of the monitored subject is determined.

Abstract: A bedtime setting unit 13 setting a target bedtime, on the basis of a sleep efficiency of a user, and a compliance status index value calculation unit 14 calculating a compliance status index value representing a compliance status with the set target bedtime are provided, and in a case where the sleep efficiency is less than a first predetermined value and the compliance status index value is a threshold value or more, a time later than the previous set bedtime is set as the next bedtime, in a case where the sleep efficiency is less than the first predetermined value and the compliance status index value is less than the threshold value, a time identical to the previous set bedtime is set as the next bedtime such that even in a state where it is necessary to set the bedtime to be later than the previous set bedtime since the sleep efficiency is less than the first predetermined value, a time identical to the previous set bedtime is set as the next bedtime in a case where the compliance status index value is l

Abstract: Systems, devices, and methods for electroporation ablation therapy are disclosed, with the device including a first jaw including a plurality of first electrodes and a second jaw including a plurality of second electrodes. The first jaw and the second jaw may be substantially rigid, elongate, and collectively define a longitudinal axis. The first jaw and the second jaw may be configured to engage tissue therebetween during use.

Abstract: Introduced here are approaches to authenticating unknown persons based on variations in the properties of blood vessels over time. At a high level, these approaches rely on monitoring changes in a property of a blood vessel that occur over time. Examples of properties include the position, size, volume, and pressure of the blood vessel, as well as the velocity and acceleration of blood flowing through the blood vessel.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a physiological sensor, a memory, and a processor. The physiological sensor is to measure a physiological parameter. The memory is to store an extended reality application and a baseline level for the physiological parameter. The processor is in communication with the physiological sensor and the memory. The processor is to execute the extended reality application. In response to the physiological parameter exceeding the baseline level by a difference threshold, the processor is to adjust the extended reality application.

Abstract: This invention discloses a sensor for measuring parameters of sweat from a skin, comprising a flexible structure comprising a fluid passage having inlet and outlet, the flexible structure being detachably attached to the skin and configured such that sweat enters the inlet as the sweat releases from the skin and flows through the fluid passage into the outlet; a thermal actuator disposed on the flexible structure over the fluid passage and configured to operably provide heat to flow of the sweat through the fluid passage; a first thermistor disposed on the flexible structure over the fluid passage between the inlet and the thermal actuator and configured to operably measure a first temperature of the sweat thereon; and a second thermistor disposed on the flexible structure over the fluid passage between the thermal actuator and the outlet and configured to operably measure a second temperature of the sweat thereon.

Abstract: Various methods and systems are provided for integrated alert management for clinical decision support. In one embodiment, a method includes determining an alert for a patient relating to a task for caring for the patient, displaying, to a user, the alert via a graphical user interface, responsive to receiving a selection by the user via the graphical user interface, performing one or more actions including adjusting a status of the alert, snoozing the alert for a specified duration, escalating the alert to one or more users, adding a comment on the alert, and displaying a history of interactions with the alert. In this way, hospital staff may easily manage alerts and tasks associated with a patient in an integrated graphical user interface.

Abstract: This relates to an electronic device configured for optical sensing having shared windows and including light restriction designs. The light restriction designs can include one or more of optical layers, optical films, lenses, and window systems configured to reduce or eliminate crosstalk between optical components. A plurality of accepting sections and a plurality of blocking sections can be employed to selectively allow light having an angle of incidence within one or more acceptance viewing angles and block light with angles of incidence outside of the acceptance viewing angles. In some examples, the light restriction designs can include variations in optical and structural properties can allow the light restriction designs to have spatially varying acceptance angles. Variations in structural properties can include, but are not limited to, differences in widths, heights, and/or tilts of the accepting sections and/or blocking sections.

Abstract: A computer-implemented system includes one or more processing devices configured to receive comorbidity information that includes a plurality of comorbidities or comorbidity-related conditions associated with a user, generate a selected set of the comorbidity information, determine, based on the selected set of the comorbidity information, respective probabilities of a plurality of different outcomes related to the comorbidity information, and generate, based on the respective probabilities and the selected set of the comorbidity information, a treatment plan comprising one or more exercises directed to changing the respective probabilities. A treatment apparatus is configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

Abstract: Disclosed is a wearable electronic device including: a housing including a first surface forming a front surface of the wearable electronic device, a second surface facing away from the first surface, and a side surface surrounding an internal space between the first surface and the second surface, a first electrode area positioned in a part of the first surface and the side surface and including a plurality of electrodes, an antenna positioned in a part of the first surface and the side surface and defined by the first electrode area and a segment area, a display visible through at least part of the first surface, a second electrode area positioned on the second surface, a processor, and a memory operatively connected to the processor and including instructions.

Abstract: A mechanism is provided in a data processing system to implement a multi-sensor health monitoring platform. The mechanism applies a machine learning model to predict patient needs and patient activity trends based on physiological features and activity features of the patient. The mechanism applies the machine learning model to predict energy requirements for a plurality of medical sensors based on the predicted patient needs and patient activity trends. The mechanism schedules recharging of the plurality of medical sensors based on the predicted energy requirements and identifying one or more sensors to set to an activate state based on the predicted patient needs and patient activity trends. The mechanism collecting sensor data from the one or more sensors and applies the machine learning model to generate a point-of-care recommendation based on the collected sensor data.