Abstract: Systems, methods, and computer program products are disclosed that can receive temperature data from at least one temperature sensor over a period of time. At least one metric of the temperature data can be calculated, which may utilize the temperature data from a particular sensor over the period of time and may be indicative of variability in the temperature data. A tissue assessment can be determined by utilizing a classifier with at least one feature input to the classifier, the feature(s) being determined from the metric(s).

Abstract: In an aspect a system for osteoporosis monitoring is presented. A system includes a computing device. A computing device is configured to measure osseous tissue data of a user through an osseous measurement device. A computing device is configured to determine a current osteoporosis state of a user as a function of measured osseous tissue data of a user. A computing device is configured to predict an advancement of a current state of osteoporosis of a user. A computing device is configured to generate an osteoporosis recovery program for the user. A computing device is configured to display an osteoporosis recovery program to a user. A computing device is configured to receive, through a remote computing device, physiological data of a user. A computing device is configured to update an osteoporosis recovery program.

Abstract: The present invention provides a method and system for processing data from an event, such as a neurological event. When a neurological event occurs, a spike in a neural waveform is generated. The spike can be detected and used to determine information about the neurological event. The method uses data values from a resistive switching component capable of undergoing a resistive state change when a voltage is applied to it. The data values represent a sequence of resistive state changes of the resistive switching component which correspond to the neurological event. The method further comprises processing the received data values to identify a resistive state change corresponding to the neurological event and to obtain information about the neurological event. Thus, a method and system for processing neural spikes is provided.

Abstract: A method for adjusting an output signal of a pulse diagnosis device includes obtaining a pulse signal at a pulse diagnosis region that is acquired by a sensing element of the pulse diagnosis device, and performing a parameter recognition on the pulse signal to obtain a parameter of the pulse signal, and determining a biological structure of the pulse diagnosis region based on the parameter of the pulse signal. The method also includes determining an adjustment factor for the parameter of the pulse signal based on the biological structure, and adjusting the parameter of the pulse signal based on the adjustment factor for the parameter of the pulse signal, to obtain an adjusted pulse signal for the pulse diagnosis region. The pulse signal is a pressure signal applied by an artery in the pulse diagnosis region to an external skin surface corresponding to the artery.

Abstract: A biopsy forceps device includes a tension member and an end effector including first and second jaws movable between an open configuration, in which the jaws are separated from one another to receive target tissue therebetween, and a closed configuration, in which cutting edges of the jaws are moved toward one another to cut a portion of the target tissue. The jaws define a tissue receiving space therebetween to house the cut tissue. The jaws are pivotable relative to one another, each of the jaws including a serrated cutting edge extending therealong, the end effector further including a tension member attachment including a proximal end coupled to the tension member. The attachment is movably coupled to the jaws so that distal movement of the attachment moves the jaws to the open configuration while proximal movement thereof moves the jaws to the closed configuration.

Abstract: A method of characterising tremor stability in a subject is described for a subject having an involuntary tremor symptomatic of a neurological disorder. The method comprising: identifying a series of tremor cycles from measured tremor data of the subject, said tremor cycles measuring periodic variation in movement of the subject due to the tremor; determining an instantaneous frequency for each tremor cycle and collating the instantaneous frequencies; determining an instantaneous variation between the instantaneous frequencies of each pair of adjacent tremor cycles within the series; comparing the instantaneous variation to the collation of determined instantaneous frequencies to determine a distribution of instantaneous variations; and determining an index value of the distribution of the instantaneous variations, said index value defining the stability of the tremor.

Abstract: A hearable comprises at least one microphone coupled with a wearable structure and a sensor processing unit disposed within the wearable structure and coupled with the microphone. A portion of the wearable structure is configured to be disposed within a user's ear. The sensor processing unit acquires audio data from the at least one microphone and head motion data from at least one motion sensor of the sensor processing unit. The head motion data describes motions of the user's head and comprises cranium motion data and mandible motion data. The sensor processing unit separates the mandible motion data from the head motion data, synchronizes the mandible motion data and the audio data into a synchronized data stream; classifies an activity of the head during a portion of the synchronized data stream; and generates a health indicator for the user based on the activity and the synchronized data stream.

Abstract: The inventive concept relates to a body composition analysis system. A body composition analysis system according to an embodiment of the inventive concept includes a sinusoidal signal generator, a synchronous detector, and a bioimpedance analyzer. The sinusoidal signal generator converts a digital sinusoidal signal having a target frequency into an analog sinusoidal signal. The synchronous detector extracts a target frequency component of a bioelectrical signal generated in response to an analog sinusoidal signal based on the digital sinusoidal signal. The bioimpedance analyzer calculates the bioimpedance based on the target frequency component of the bioelectrical signal. According to the inventive concept, it is possible to improve the selectivity for extracting the target frequency component of the bioelectrical signal and to reduce the area and variations of characteristics for the implementation of the integrated circuit.

Abstract: A method can classify cervical accelerometry data acquired for a swallowing event to identify a possible swallowing impairment in a candidate. The method can include receiving axis-specific vibrational data for an anterior-posterior (A-P) axis and a superior-inferior (S-I) axis and representative of the swallowing event, for example from an accelerometer operatively coupled to a processing module that is a local or remote computing device. The method can include extracting one or more specific meta-features from the data and then outputting from the processing module a classification of the swallowing event based on the extracted meta-features, for example a first classification indicative of normal swallowing or a second classification indicative of possibly impaired swallowing.

Abstract: While performing heart rate estimation of a user, if the user is in motion, a signal is measured and is likely to have noise data, which in turn affects accuracy of estimated heart rate value. Method and system for heart rate estimation when the user is in motion is disclosed. The system estimates value of a noise signal present in a measured PPG signal by performing a Principal Component Analysis (PCA) of an accelerometer signal collected along with the PPG signal. The system further estimates value of a true cardiac signal for a time window, based on value of the true cardiac signal in a pre-defined number of previous time windows. The system then estimates frequency spectrum of a clean PPG signal based on the estimated noise signal and the true cardiac signal. The system further performs heart rate estimation based on the clean PPG signal.

Abstract: A middle ear sound transmission characteristics evaluation system includes a probe; a measuring probe that includes an actuator that vibrates the probe and a force sensor that outputs a voltage in accordance with a reaction force exerted to the actuator when a tip of the probe is brought into contact with ossicles; an electrode that is installed on or near a round window and detects a potential value of a cochlear microphonic when vibration is applied to the ossicles by the probe; a database that stores a sensor voltage value output by the force sensor before surgical treatment, the potential value detected by the electrode, and surgical details; and a surgical details proposing unit that proposes selected surgical details on the basis of the magnitude of at least one of the sensor voltage value and the potential value measured before surgery with reference to the database.

Abstract: A tissue collection device (1) for collection of one or more exposed tissue samples (2) from a biopsy needle or biopsy device, which tissue collection device comprises one or more pieces of a carrier medium (6) and is arranged to temporarily bring a piece of carrier medium into physical contact with the tissue sample, while the tissue sample is still positioned in the biopsy needle or biopsy device, so that the tissue sample (2) adheres to the carrier medium (6) and is removed from the biopsy needle (3) or biopsy device (4) with the carrier medium (6), when the carrier medium (6) is removed from the biopsy needle or biopsy device again. Furthermore, a biopsy device comprising such a tissue collection device is disclosed.

Abstract: According to various aspects, a new concept of Steady-State Visually Evoked Potential (SSVEP) based Brain-Computer Interface (BCI) is described where brain-computer communication occurs by capturing SSVEP induced by consciously imperceptible visual stimuli integrated into, for example, a virtual scene. These consciously imperceptible visual stimuli are able to convey subliminal information to a computer. In various embodiments, computer based operations can be mapped to visual elements with associated flickering stimuli, and induced SSVEP can be detected when the user focused upon them. In various embodiments, these visual elements can be introduced into existing display without any perceivable change to content being displayed.

Abstract: Disclosed herein is a gait analysis apparatus that is configured to provide multidimensional measures of the gait of an individual as the individual traverses the gait analysis apparatus. The gait analysis apparatus may be configured to provide a gait measuring processing device with the multidimensional measurements. Based on the multidimensional measurements, the gait measuring process device may, for example, diagnose the test subject with lameness or particular neuromuscular dysfunctions (NM) disease and/or injury, monitor progression of lameness or a particular NM disease and/or injury over time, determine a static weight as the test subject is traversing, monitor the static weight of the test subject over an extended period time, and/or determine which measurements may be used as biomarkers to identify lameness or the particular NM disease and/or injury. A system including a gait analysis apparatus is also disclosed.

Abstract: A dementia information output system according to an aspect of the present invention includes: an acquisition unit configured to acquire an amount of body motion of a user; a determining unit configured to determine a likelihood that the user is developing a mild dementia or the like on the basis of a variability degree that is a degree by which an amount of body motion varies over a plurality of days in each of a plurality of time periods; and an outputting unit configured to output dementia information indicating the likelihood determined by the determining unit.

Abstract: Methods and systems are provided for obtaining cleaned sequences showing trajectories of movement of a center of gravity and for estimating a biometric information pattern or value of a target. One of the methods includes removing noises from initial sequences showing trajectories of movement of a center of gravity to obtain the cleaned sequences. Another one of the methods includes reading cleaned sequences of the target into a memory, extracting features from the cleaned sequences, and estimating a biometric information pattern or value of the target from the extracted features, using a classification or regression model of biometric information patterns or values. The biometric information pattern may be a pattern derived from respiratory or circulatory organs of a target.

Abstract: According to one aspect, a guidewire assembly for positioning within a body of a patient may include a guidewire shaft having a proximal section and a distal section. The distal section may be configured to move within the body of a patient when the guidewire assembly is in a first operating state. The distal section may be configured to expand radially outward when the guidewire assembly is in a second operating state to engage an interior surface of the body and inhibit movement of the guidewire shaft.

Abstract: Example apparatuses, systems, and methods for detecting a muscle tissue ischemia event are provided. An example apparatus may include an electromyography (EMG) sensor applied to a patient to detect electrical activity in the muscle tissue. The apparatus may also include processing circuitry in communication with the EMG sensor and configured to receive EMG signals from the EMG sensor and detect characteristics within the EMG signals indicating oxygen depletion within the muscle tissue of the patient. The characteristics may include a signal power level of the EMG signals increasing by at least a threshold value at a select frequency or with respect to a select band of frequencies. The processing circuitry may be further configured to trigger an output, in response to detecting the characteristics, indicating that the oxygen depletion in the muscle tissue is indicative of an ischemia event.

Abstract: A personalized optimal head shape implementation system capable of deriving an optimal spline curve between head shape measurement data generated by scanning a head shape of a subject and optimal head shape data generated by applying a golden ratio of a Fibonacci sequence to the head shape measurement data and providing a customized optimal head shape mold for the subject based on the optimal spline curve.

Abstract: Provided is a method for evaluating muscle strength characteristics of a limb based on a muscle group model including a first pair of antagonistic one-joint muscles, a second pair of antagonistic one-joint muscles, and a pair of antagonistic two-joint muscles, where the limb has a first rod having a proximal end supported by a first joint and a second rod supported on a free end of the first rod through a second joint. The method includes: measuring a maximum output of a free end of the second rod in at least one predetermined direction; measuring orbiting outputs of the free end of the second rod in all directions in the plane; and creating a hexagonal maximum output distribution corresponding to a contribution amount of each muscle of the muscle group model based on the maximum output in the predetermined direction and the orbiting outputs.