[Object] To provide an information processing apparatus, a biological data measurement system, an information processing method, and a program that can improve the accuracy of acquired biological data. [Solving Means] An information processing apparatus according to the present technology includes a body motion noise prediction unit and a control unit. The body motion noise prediction unit predicts, on the basis of a reference signal that is body motion information of a person to be measured detected by a reference signal sensor, that body motion noise caused by body motion of the person to be measured is added to a detection biological signal detected by a biological sensor from the person to be measured. The control unit controls signal processing of the detection biological signal on the basis of a prediction result of the body motion noise prediction unit.

An implantable sensor system using one or more sensor implants comprised of micro-electrical mechanical system (MEMS) sensors for the accurate and continuous measurement of physiological hemodynamic signals such as diastolic and systolic blood pressure. Sensor implants are configured to be subcutaneously injected to a placement site adjacent a blood vessel. In some embodiments, sensors comprise micromachined ultrasonic transducers.

The present invention relates to body position detection. In order to improve body position detection, a computer-implemented method is provided that comprises the steps of: a) receiving (210) accelerometer data from an accelerometer mounted on a user,

wherein the received accelerometer data comprises three acceleration components including a first acceleration component in a first axis direction, a second acceleration component in a second axis direction substantially perpendicular to the first axis direction, and a third acceleration component in a third axis direction substantially perpendicular to a plane formed by the first and second axes; and

wherein the first axis direction is parallel to a frontal axis of the user, the second axis direction is parallel to a longitudinal axis of the user, and the third axis direction is parallel to a sagittal axis of the user; b) determining (220), based on the received accelerometer data, at least one body position based on a comparison between an absolute value of a projection of a gravity vector on a plane formed by two of the first, second, and third axes and an absolute value of an acceleration component in a remaining axis direction.

An oximetry device sealed in a sheath directs a user to allow the oximetry device to make oximetry readings at a number of different tissue locations of a patient and average two or more of the oximetry readings by directing the lifts and placements of the oximetry device and sheath to and from the different tissue locations and detecting the lift and placements. The averages are generated and displayed on a display of the device for the oximetry readings if the lifts are made while use directions for the lifts are displayed on a display of the oximetry device. The averages are not generated if the lifts are not made while the user directions for the lifts are not displayed. The averages are simultaneously displayed with the oximetry readings which are instantaneous measurement for patient tissue.

Devices, systems, and methods for monitoring respiration using surface temperature, humidity, air pressure, carbon dioxide gas sensors, pulse oximetry sensors and electromyography sensors, and/or acceleration sensors to obtain information related to respiration rate (RR), exhalation/inhalation strength, exhalation/inhalation volume, exhalation/inhalation acceleration, and/or exhalation/inhalation regularity.

Apnea events may be detected based on a primary biomarker, e.g., respiration, in the one or more physiological signals. The apnea events may be characterized as one of an obstructive sleep apnea (OSA) event, a central sleep apnea (CSA) event, or a combination OSA/CSA event based on a secondary biomarker, e.g., a frequency spectrum or a morphology of the respirations in the one or more physiological signals. A first electrical stimulation may be provided to treat OSA in response to a first one or more of the apnea events being characterized as OSA events. A second electrical stimulation may be provided to treat CSA in response to a second one or more of apnea events being characterized as CSA events. A third electrical stimulation may be provided to treat combination OSA/CSA in response to a third one or more of the apnea events being characterized as combination OSA/CSA events.

A method for administering an exposure treatment of a cognitive behavioral therapy (CBT) uses a mobile app and a server application. A user state of a patient undergoing a first step of the CBT based on the patient's condition during the first step is detected by sensors of the patient's smartphone. A situational state of the patient's surroundings during the first step is detected by the smartphone sensors. The mobile app determines whether the patient has made progress performing the first step. A user prompt is generated based on the user state and situational state. A next step of the CBT is configured based on the user state and situational state. The characteristics of the user prompt are generated using machine learning based on past task completions by the patient and other users so as to increase the likelihood that the patient will complete the next step of the CBT.

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

An intracranial pressure monitoring device includes a housing defining a first internal chamber, a plurality of strain gauges disposed on an inner surface of a diaphragm defined by a wall of the first internal chamber, a device for generating orientation signals, and circuitry coupled to the plurality of strain gauges and to the device. The circuitry is configured to generate intracranial pressure data from signals received from the plurality of strain gauges, generate orientation data based on the orientation signals received from the device, and store the intracranial pressure data and the orientation data in a computer readable storage such that the intracranial pressure data and orientation data are associated with each other.

A wearable health and lifestyle device including at least a measurement module configured to be worn by a user in at least a first wearing position, the measurement module comprising a 3-axis accelerometer unit configured to provide acceleration data and inclination data, a temperature measurement unit configured to provide temperature data, a light radiation measurement unit configured to provide light radiation data, said light radiation measurement unit comprising at least one multi-spectral sensor configured to measure wavelength bands over the range 290 nm to 1150 nm, a storage module configured to receive and store said acceleration data, said inclination data, said temperature data and said light radiation data, and an analysis module configured to analyze a data set comprising acceleration data, inclination data, temperature data and light radiation data.