Abstract: Disclosed embodiments relate to apparatuses and methods for a skin perfusion pressure determination device.

Abstract: A method and system including a monitoring device to detect, during a session, a set of radar signals associated with first respiratory-related movements of a first person and second respiratory-related movements of a second person located within a detection zone comprising at least a portion of a bed. The method and system dynamically generate an out-of-bed zone adjacent to a side of the bed. The out-of-bed zone is monitored to detect motion within the zone to determine when the first person exits and enters the bed. The method and system identify a portion of the set of radar signals collected during a time period when the first person is determined to be out of the bed. The identified portion of the set of radar signals is removed from the set of radar signals collected during the sleep session.

Abstract: A motion state monitoring system, a training support system, a motion state monitoring method, and a program capable of suitably managing measurement results according to an attaching direction of a sensor are provided. A motion state monitoring system according to the present disclosure monitors a motion state of a target part of a subject's body. The motion state monitoring system includes an acquisition unit, an attaching direction detection unit, and a control processing unit. The acquisition unit acquires sensing information of a sensor attached to the target part. The attaching direction detection unit detects an attaching direction of the sensor. The control processing unit outputs information related to the sensing information in association with the attaching direction.

Abstract: A method of deception detection based upon ocular information of a subject provides a video camera configured to record a close-up view of a subject's eye. A cognitive state model is configured to determine a high to a low cognitive load experienced by the subject. An emotional state model is configured to determine a high to a low state of arousal experienced by the subject. After asking a question, the ocular information is processed to identify changes in ocular signals of the subject. The cognitive state and emotional state models are evaluated based solely on the changes in ocular signals where a probability of the subject being either truthful or deceptive is estimated for a binary output.

Abstract: A risk estimation apparatus includes a data acquisition unit that acquires measured data of foot pressures of the left foot and the right foot obtained by sensors that are provided in shoes and measure the foot pressures, a stance phase identification unit that identifies a starting timing and an ending timing of a stance phase of each of the left foot and the right foot from the measured data of the foot pressures, and a risk estimation unit that estimates a risk of abnormality of a lower limb on the basis of asymmetry between the foot pressures of the left foot and the right foot during the stance phase.

Abstract: An apparatus for non-invasively measuring bio-information is provided. The apparatus for estimating bio-information may include a pulse wave sensor configured to measure a pulse wave signal from an object; a sensor position sensor configured to obtain sensor position information of the pulse wave sensor with respect to the object, based on the object being in contact with the pulse wave sensor; and a processor configured to estimate the bio-information based on blood vessel position information of the object, the sensor position information, and the pulse wave signal.

Abstract: Presented are concepts for monitoring walker usage by a subject. One such concept obtains movement data comprising values of detected movement of an arm of the subject for a first time period during which the subject is determined to have transferred between first and second locations the first time period. It is determined if the subject used a walker during the first time period based on a measure of variance in the values of detected movement of the subject's arm during the first time period.

Abstract: Methods and systems for determining collateral ventilation are disclosed. Methods may comprise introducing a diagnostic catheter into a lung compartment via an assisted ventilation device, inflating the occluding member to isolate the lung compartment, and performing a diagnostic procedure with the catheter while the patient is ventilated via the assisted ventilation device. The diagnostic procedure comprises determining an exhaled volume from the isolated lung compartment over a predetermined period of time while the patient is ventilated via the assisted ventilation device. The presence collateral ventilation may be determined based on the exhaled volume from the isolated lung compartment over the predetermined period of time.

Abstract: Systems and methods for determining timing of parturition onset in non-human animals are provided. Specifically, a software application platform which provides a user with the ability to receive customized information relating to an animal's estimated parturition onset as displayed on a user interface. A user can input data, for example, one or more animal specific biomarkers, and subsequently receive identification of a predicted parturition onset timing and customized recommendations and/or intervention steps for the specific animal.

Abstract: A wearable device and a method for performing a registration process in the wearable device are provided. The wearable device includes a light source, a light sensor and a microcontroller that performs the method. In the method, the light source is activated to emit a detection light and the light sensor senses a reflected light. A light intensity of the reflected light is calculated. A registration value is produced based on the light intensity. Specifically, the detection light with a specific frequency to be registered in the registration value is used as a reference to detect whether the wearable device is properly worn by a person. For example, since the wearable device can be worn on the person's wrist, the registration value is used to detect whether the wearable device is away from the wrist.

Abstract: Systems and methods to monitor and track the treatment of bones using a bone correction system are provided. The method includes implanting growth modulating implants of a bone correction system in two or more bones of a patient. Each growth modulating implant includes an implant body having at least one sensor device embedded in the implant body. The method includes receiving sensor data from the sensor devices and determining an operational status of the growth modulating implants, based on the received sensor data. The method includes determining, by the processor, a longitudinal growth or growth rate between the two or more bones, based on the received sensor data and causing a display device to selectively display a graphical user interface (GUI) representative of at least one of the longitudinal growth and the growth rate of the patient.

Abstract: An automatic system for making clinical decisions, especially with relation to cannabis use, that incorporates data from multiple personal tracking devices such as fitness trackers, analyzes that data using machine learning techniques to determine which data points are relevant to account for changes over time, and offers predictions, insights, and/or suggestions to support clinical decision making.

Abstract: Systems and methods to determine a composite respiration phase of a patient are disclosed, including a signal receiver circuit to receive first and second physiologic information of a patient, and an assessment circuit to determine first respiration phase information of the first physiologic information and to determine the composite respiration phase of the patient using the determined first respiration phase information and the second physiologic information.

Abstract: In some examples, a system is configured to determine, using a neural network algorithm of a cerebral autoregulation model, a cerebral autoregulation status of the patient based at least in part on a blood pressure of the patient over a period of time and regional cerebral oxygen saturation of the patient over the period of time.

Abstract: There is provided an apparatus (100) for monitoring swallowing in a subject. The apparatus (100) comprises a processor (102) configured to acquire, from a motion sensor (104), motion signals obtained from a feeding tube, when placed in the esophagus of the subject. The motion signals are indicative of swallowing motions transmitted along the feeding tube. The processor (102) is also configured to process the acquired motion signals to classify the acquired motion signals as indicative of the subject swallowing healthily or unhealthily.

Abstract: A medical system comprising a first medical device, a second medical device, and a computer. The first medical device is configured to be placed beneath the dermis. The first medical device comprises an enclosure comprising non-electrically conductive material. A cap couples to the enclosure and is configured to seal the enclosure. The enclosure houses electronic circuitry configured to measure one or more parameter or provide a therapy. The cap couples to the ground of the electronic circuitry. The first medical device includes a dual band antenna. A first antenna is configured to operate within a first frequency band below 1 gigahertz. The second antenna is configured to operate at a frequency above 1 gigahertz. The second medical device is configured to transmit a radio frequency signal to the first medical device. The first medical device is configured to harvest the energy received from the radio frequency signal to enable the electronic circuitry and perform at least one task.

Abstract: The present application relates to a device, system, and method for determining patient body temperature based on a multi-modal wearable biosensor applied to the surface of the body that measures multiple physiological, physical, and skin-surface/microclimatic thermal parameters, derives additional instantaneous parameters, learns contextual parameters based on temporal dynamics, and employs ensemble model fusion method to estimate core body temperature.

Abstract: Devices, systems, and methods are provided for disambiguating phase in radar-based waveforms. A method may include determining a first waveform, the first waveform associated with a first subcarrier and a second subcarrier in a frequency domain, and the first waveform based on radar measurements. The method may include determining a motion signal, and determining, based on the first subcarrier, the second subcarrier, a subcarrier spacing of the subcarriers, and the motion signal, a phase change differential value between the first subcarrier and the second subcarrier. The method may include generating, based on the phase change differential value, a second waveform, and generating a third waveform in the time domain by applying the second waveform to the first waveform.

Abstract: An active medical device, comprising a processor, a memory unit, and at least one of an accelerometer and a detection unit configured to detect a body impedance. During operation, the active medical device carries out the following steps: a) measuring a body impedance of a patient with the detection unit during a first period of time to obtain time-dependent impedance data and calculating a power spectral density of the impedance data; b) alternatively or additionally to step a), measuring an acceleration of a body of the patient with the accelerometer during the first period of time to obtain time-dependent acceleration data and calculating a power spectral density of the acceleration data; c) identifying coughing of the patient on the basis of the calculated power spectral density if at least 1% of all values of the power spectral density have a frequency of at least 1 Hz.

Abstract: A process and unit for determining an estimate for a respiratory signal. Measured values are received, and a sum signal is generated, which is a superimposition of the respiratory signal to a cardiogenic signal. The unit detects heartbeats, and a respective heartbeat time period for each. An intermediate signal is calculated by compensating the influence of the cardiac activity on the sum signal. The unit determines an attenuation signal, which is an indicator of the average time curve of the contribution of the cardiogenic signal to the intermediate signal in a predefined reference heartbeat time period. An intermediate signal section is generated as a section of the intermediate signal in a heartbeat time period and intermediate signal sections are mapped to the reference heartbeat time period. The estimated respiratory signal is calculated with the use of the mapped intermediate signal sections and of the attenuation signal.