Embodiments of the present disclosure provide for an apparatus for opportunistic measurements and processing of a user's context. In one instance, the apparatus may include a processing block, a first sensor having first and second electrodes disposed on a work surface of the apparatus, to provide first readings of a user's physiological context in response to a contact between the electrodes and respective hands of a user, and a second sensor coupled with the processing block and having a sensitive surface embedded in one of the first or second electrode. The second sensor may provide second readings of the user's physiological context and a wake-up signal to the processing block in response to proximity of one of the hands to the sensitive surface. The processing block may facilitate process the user's physiological context in response to a receipt of the wake-up signal. Other embodiments may be described and/or claimed.

A method and an apparatus for assessing cardiopulmonary fitness of a user are provided. A method of assessing cardiopulmonary fitness involves measuring a biosignal of a user performing an activity, measuring an exercise intensity of the activity, determining a parameter based on the biosignal and the exercise intensity, estimating a cardiopulmonary fitness index based on the parameter, and assessing the cardiopulmonary fitness of the user based on the cardiopulmonary fitness index.

A mobile terminal includes a sensor information acquisition unit, a state calculation unit, and an output control unit. The sensor information acquisition unit successively acquires bio-information relating to a subject. The sensor information acquisition unit acquires activity information relating to activity of the subject. The state calculation unit estimates a physical condition of the subject based on the bio-information acquired and the activity information acquired. The output control unit controls the output unit to perform a notification of information based on the physical condition of the subject estimated.

A system and method to aid diagnosis of a patient includes a data and knowledge acquisition module and a meta diagnosis prediction module. The data and knowledge acquisition module includes: an input for patient data including any of previous diagnosis, drugs, symptoms and treatment, an input for open data and an input for expert knowledge, and is arranged to use these inputs to create a patient clinical object (PCO), a biomedical knowledge graph and a rule based knowledge graph, and to enrich the patient clinical object using the biomedical knowledge graph. The meta diagnosis prediction module is arranged to use the patient clinical object and the biomedical knowledge graph and/or the rule based knowledge graph in two or more of the following predictors: a diagnosis-based predictor to provide a set of diagnoses based on previous diagnoses, a drug-based predictor to provide a set of diagnoses based on drugs taken by the patient, a symptom-based predictor to provide a set of diagnoses based on symptoms of the patient and a treatment-based predictor to provide a set of diagnoses based on the treatments the patient is receiving. The meta diagnosis prediction module includes a meta predictor to combine any of the sets of diagnoses to give a predicted primary diagnosis.

[Problem]

It is intended to quantitatively evaluate deterioration in brain function associated with a disease such as dementia, with a high degree of accuracy by a simplified method using signals acquired from a few sensors arranged on the scalp.

[Solution]

The present invention relates to a brain activity measurement device comprising: a signal acquisition part configured to acquire a signal from a brain of the subject, using three sensors attached to different locations on the surface of the head of a subject; a data extraction part configured to extract, from each of the three signals acquired from respective ones of the sensors, a deep-brain potential signal having a specific frequency band arising from an activity of a deep brain region, and acquire data from the extracted deep-brain potential signal with a sampling period; a correlation value calculation part configured to calculate a correlation value indicative of a correlative relationship among the deep-brain potential signals acquired from each respective sensors, based on a phase relationship among three pieces of time-series data each extracted from the respective sensors by the data extraction part; and an index value calculation part configured to analyze the deep-brain potential signals from the deep brain region, based on the calculated correlation value, to calculate an index value for determining a brain function.

Access is provided to certain pulse oximetry systems utilizing a keyed sensor and a corresponding locked sensor port of a restricted access monitor. In such systems, the keyed sensor has a key comprising a memory element, and the monitor has a memory reader associated with the sensor port. The monitor is configured to function only when the key is in communications with the locked sensor port, and the memory reader is able to retrieve predetermined data from the memory element. The monitor is accessed by providing the key separate from the keyed sensor, integrating the key into an adapter cable, and connecting the adapter cable between the sensor port and an unkeyed sensor so that the monitor functions with the unkeyed sensor.

An intra-body communication system for monitoring physiological changes in a patient is provided. The system can include a first device implanted into a patient's body; a second device spaced apart from the first device; and a receiver for detecting and/or decoding the signals to monitor physiological changes in the patient. The first device and second device are capable of engaging in a two-way communication through transmission of one or more signals through at least a portion of the patient's body between the first device and the second device. In one embodiment, the signal may be an optical signal.

One aspect of the present disclosure relates to a system that can identify a focal area of abnormal brain interactions in a subject. Time series data can be received that corresponds to recordings from a plurality of regions in a brain of the subject during a resting period. Based on the time series data, an information inflow associated with each of the plurality of regions can be determined. The focal area of the abnormal brain interactions can be identified as one of the plurality of regions having a maximum information inflow.

An arm mountable portable patient monitoring device configured to receive physiological information from a plurality of sensors attached to a patient via wired connections for on-patient monitoring of parameter measurements and wireless transmission of parameter measurements to separate monitoring devices. The arm mountable portable patient monitoring device includes a housing, a strap, a display, a first sensor port positioned on a first side of the housing configured to face toward a hand of the patient when the housing is secured to the arm of the patient, second and third sensor ports configured to receive signals from additional sensor arrangements via a wired connections, one or more signal processing arrangements configured to cause to be displayed measurements of oxygen saturation and pulse rate, and a transmitter configured to wirelessly transmit information indicative of the measurements of oxygen saturation and pulse rate to a separate monitoring device.

A compact perfusion scanner and method of characterizing tissue health status are disclosed that incorporate pressure sensing components in conjunction with the optical sensors to monitor the level of applied pressure on target tissue for precise skin/tissue blood perfusion measurements and oximetry. The systems and methods allow perfusion imaging and perfusion mapping (geometric and temporal), signal processing and pattern recognition, noise cancelling and data fusion of perfusion data, scanner position and pressure readings.