The present invention describes an apparatus and method for determining the energy expenditure of a subject by indirect calorimetry where respiratory gases O.sub.2 and CO.sub.2 are captured in a tent mask coupled through a pneumotach flow meter to a vacuum inlet of a blower fan whose speed is controlled by a computer running a program that ensures that the bias flow being drawn through the mask always exceeds the subject's peak expiratory flow. VO.sub.2 and VCO.sub.2 and flow values are measured on a breath-by-breath basis and used in arriving at a bias flow adjustment voltage to be applied to the blower fan for adjusting its speed.

A bio-sensing device (and method) calibrates a time period used to make bio-physical measurements. The device initiates a light source sense phase followed by a first ambient sense phase and a second ambient sense phase. In the light source sense phase, the device is configured to receive a digital value indicative of current through a photodetector while the light source circuit is enabled and in each of the first and second ambient sense phases, the device is configured to receive digital values while the light source circuit is disabled. The device iteratively varies the time period between the phases until the digital value received during the first ambient sense phase is within a threshold of the digital value received during the second ambient sense phase. It then applies the same time separation between the light source sense phase and the ambient phase thereby equalizing the magnitude of the ambient light in the two phases.

A digital loupe system is provided which can include a number of features. In one embodiment, the digital loupe system can include a stereo camera pair and a distance sensor. The system can further include a processor configured to perform a transformation to image signals from the stereo camera pair based on a distance measurement from the distance sensor and from camera calibration information. In some examples, the system can use the depth information and the calibration information to correct for parallax between the cameras to provide a multi-channel image. Ergonomic head mounting systems are also provided. In some implementations, the head mounting systems can be configurable to support the weight of a digital loupe system, including placing one or two oculars in a line of sight with an eye of a user, while improving overall ergonomics, including peripheral vision, comfort, stability, and adjustability. Methods of use are also provided.

Apparatus and methods for error modeling and correction in one or both of (i) a partially or fully implanted or non-implanted medicant delivery mechanism (such as a pump), and (ii) implanted physiologic parameter sensor. In one exemplary embodiment, the apparatus and methods employ a training mode of operation, whereby the apparatus conducts “machine learning” to model one or more errors (e.g., unmodeled variable system errors) associated with the medicant dose calculation process, and (ii) generation of a medicant delivery operational model (based at least in part on data collected/received in the training mode), which is applied to correct or compensate for the errors during normal operation of the sensor and pump system. This enhances accuracy of medicant delivery, such as over the lifetime of an implanted pump at a single implantation site, or during multiple relocations of a transcutaneously implanted pump), and enables “personalization” of the pump to each user.

A method for monitoring physiological signals of a subject from sounds produced by the subject, including: receiving recorded sounds, including sounds from the subject's chest and being transmitted by the subject's biological tissues to the subject's ears, the recorded sounds being recorded by sound recording element(s) positioned inside earcup(s) of headphones worn by the subject; receiving signals from an accelerometer and a gyroscope being recorded simultaneously with the recorded sounds; detecting heart beats from the cardiac peaks sounds and calculating inter-beat intervals from the heart beats; extracting a first estimation of the breathing signal from the inter-beat intervals presenting respiratory sinus arrhythmia; extracting a second estimation of the breathing signal from residual sounds; extracting a third estimation of the breathing signal and motion artifacts from the signals of the accelerometer and the gyroscope; calculating the breathing signal by combining the first, second and third estimations of the breathing signal.

A drowsiness estimation information correction device includes: a drowsiness estimation information acquisition unit that acquires drowsiness estimation information that is based on an eyelid movement of a subject; and a drowsiness estimation information correction unit that calculates corrected drowsiness estimation information obtained by correcting the drowsiness estimation information with humidity information indicating humidity in a surrounding environment of the subject.

A vascular graft includes deformable sleeves that include an electrical component. The electrical component can be variable-resistance or piezoelectric, in embodiments, such that deformation of the sleeves due to pressure changes create or modify an electrical signal. A transponder can then transmit information relating to the pressure inside and outside of the vascular graft.

The present invention relates to a system (10) for assessing eyesight acuity of a subject (20), comprising: a display (12) for displaying graphics and/or text to the subject (20); an eye movement sensor (14, 14′) for monitoring an eye movement of the subject (20) while the subject (20) is watching the graphics and/or text displayed on the display (12); a processing unit (16) for assessing the eyesight acuity of the subject (20) based on an analysis of the monitored eye movement, wherein the analysis of the monitored eye movement includes an analysis of at least one of a duration of eye saccades, a frequency of eye saccades, a duration of eye fixations and a frequency of eye fixations in the monitored eye movement; and an output unit (18, 18′) for indicating the result of the assessment of the eyesight acuity. The present invention furthermore relates to a system (110) for assessing hearing ability of a subject (20).

A computing system for measuring and monitoring patient biomarkers for detecting or predicting a post-surgical bariatric complication may be provided. A post-surgical bariatric complication may be predicted or detected by comparing measured/processed patient biomarker data with a corresponding determined threshold value. The comparison of the measured/processed patient biomarker data and the corresponding threshold may be performed in association with a context. The context may be based on at least one of a bariatric surgery recovery timeline, at least one situational attribute, or at least one environmental attribute. A notification message associated with a predicted or detected post-surgical bariatric complication may be sent (e.g., sent in real time) to a patient device or a healthcare provider's device. The notification message may be supplemented by a severity level message.

The present disclosure provides a system for processing biological signals. The system may comprise a sensing module comprising one or more sensors for detecting at least one of a biological parameter of a subject and one or more biological signals of the subject, and an additional sensor for detecting ambient conditions associated with a surrounding environment of the subject. The system may comprise a signal processing module in communication with the sensing module, wherein the processing module is configured to aggregate and process data obtained using the one or more sensors to compute one or more markers for the subject. The system may comprise an output device optimization module in communication with the signal processing module and one or more output devices, wherein the output device optimization module is configured to control the output devices using the one or more computed markers and data obtained using the additional sensor.