A medical device is utilized to monitor physiological parameters of a patient and capture segments of the monitored physiological parameters. The medical device includes circuitry configured to monitor one or more physiological parameters associated with the patient and an analysis module that includes a buffer and a processor. The buffer stores monitored physiological parameters and the processor analyzes the monitored physiological parameters and triggers capture of segments from the buffer in response to a triggering criteria being satisfied. The analysis module selects a pre-trigger duration based at least in part on the triggering criteria.

Provided herein are systems and methods to measure the intraocular pressure, ocular tissue geometry and the biomechanical properties of an ocular tissue, such as an eye-globe or cornea, in one instrument. The system is an optical coherence tomography subsystem and an applanation tonometer subsystem housed as one instrument and interfaced with a computer for at least data processing and image display. The system utilizes an air-puff and a focused micro air-pulse to induce deformation and applanation and displacement in the ocular tissue. Pressure profiles of the air puff with applanation times are utilized to measure intraocular pressure. Temporal profiles of displacement and/or spatio-temporal profiles of a displacement-generated elastic wave are analyzed to calculate biomechanical properties.

A method is provided for monitoring a current respiratory curve of a patient with regard to a recording region which is imaged by magnetic resonance scanning. The method includes acquiring a reference respiratory curve of the patient over a plurality of respiratory cycles; establishing a respiration state of the patient that is suitable for the magnetic resonance scanning based on the reference respiratory curve; determining at least one reference recording time window and a trigger threshold value for starting a magnetic resonance scan based on the previously determined respiration state; carrying out at least one magnetic resonance scan within the determined reference recording time window of the current respiratory curve using the trigger threshold value; and continually acquiring and monitoring the current respiratory curve during the magnetic resonance scan in the reference recording time window.

A respiratory status examination apparatus and method, and a sleep disorder control device and method are proposed. The apparatus may include at least one image capturing unit that is movably arranged to adjust a distance with respect to a subject and configured to obtain a thermal image by photographing the subject. The apparatus may also include a motion sensor unit configured to detect a motion of the subject to generate motion information, and a temperature information extracting unit configured to specify at least one examination region from the thermal image obtained by the image capturing unit and extract temperature information from the examination region. The apparatus may further include a respiratory status examining unit configured to determine a respiratory status of the subject based on the temperature information extracted by the temperature information extracting unit and the motion information generated by the motion sensor unit.

A method of identifying and locating tissue abnormalities in a biological tissue includes irradiating an electromagnetic signal, via a probe defining a transmitting probe, in the vicinity of a biological tissue. The irradiated electromagnetic signal is received at a probe, defining a receiving probe, after the signal is scattered/reflected by the biological tissue. Blood flow information pertaining to the biological tissue is provided. Based on the received irradiated electromagnetic signal and the blood flow information, tissue properties of the biological tissue are reconstructed. A tracking unit determines the position of at least one of the transmitting probe and the receiving probe while the step of receiving is being carried out, the at least one probe defining a tracked probe. The reconstructed tissue properties are correlated with the determined probe position so that tissue abnormalities can be identified and spatially located.

Technology facilitates dynamic variability of head impact data recordal, for example, in the context of instrumented mouthguard devices. Some embodiments have been developed to facilitate an event recoding protocol that dynamically adjusts event recoding parameters thereby to provide appropriate data for both “short” and “prolonged” impact events. For example, various embodiments include methods for recording impact events in respect of an instrumented mouthguard device, such methods including dynamically adjusting a period of time for which event data is recorded for a given event responsive to length of time for which an over-threshold condition persists.

Continuous Glucose Monitoring (CGM) devices provide glucose concentration measurements in the subcutaneous tissue with limited accuracy and precision. Therefore, CGM readings cannot be incorporated in a straightforward manner in outcome metrics of clinical trials e.g. aimed to assess new glycaemic-regulation therapies. To define those outcome metrics, frequent Blood Glucose (BG) reference measurements are still needed, with consequent relevant difficulties in outpatient settings. Here we propose a “retrofitting” algorithm that produces a quasi continuous time BG profile by simultaneously exploiting the high accuracy of available BG references (possibly very sparsely collected) and the high temporal resolution of CGM data (usually noisy and affected by significant bias). The inputs of the algorithm are: a CGM time series; some reference BG measurements; a model of blood to interstitial glucose kinetics; and a model of the deterioration in time of sensor accuracy, together with (if available) a priori information (e.g. probabilistic distribution) on the parameters of the model. The algorithm first checks for the presence of possible artifacts or outliers on both CGM datastream and BG references, and then rescales the CGM time series by exploiting a retrospective calibration approach based on a regularized deconvolution method subject to the constraint of returning a profile laying within the confidence interval of the reference BG measurements. As output, the retrofitting algorithm produces an improved “retrofitted” quasi-continuous glucose concentration signal that is better (in terms of both accuracy and precision) than the CGM trace originally measured by the sensor. In clinical trials, the so-obtained retrofitted traces can be used to calculate solid outcome measures, avoiding the need of increasing the data collection burden at the patient level.

Provided herein are systems and methods to measure the intraocular pressure, ocular tissue geometry and the biomechanical properties of an ocular tissue, such as an eye-globe or cornea, in one instrument. The system is an optical coherence tomography subsystem and an applanation tonometer subsystem housed as one instrument and interfaced with a computer for at least data processing and image display. The system utilizes an air-puff and a focused micro air-pulse to induce deformation and applanation and displacement in the ocular tissue. Pressure profiles of the air puff with applanation times are utilized to measure intraocular pressure. Temporal profiles of displacement and/or spatio-temporal profiles of a displacement-generated elastic wave are analyzed to calculate biomechanical properties.

An apparatus configured for application to a surface of a body, the apparatus comprising: an array of mechanomyography sensors spatially distributed across a substrate, each mechanomyography sensor configured to detect mechanomyography signals from the body to which the apparatus is applied; and a pressure bias system configured to provide a variation in contact pressure of the mechanomyography sensors to the body surface to receive mechanomyography signals at different levels of applied contact pressure.

A system comprises determination of an inversion-recovery or saturation-recovery imaging pulse sequence associated with first values of echo spacing, flip angle, effective TR, trigger pulses, artifact post-suppression, and number of image data lines per acquisition, execution of a scout pulse sequence comprising a plurality of single-shot image data acquisitions to acquire respective sets of image data lines, where each of the plurality of single-shot image data acquisitions is executed using a different respective inversion time and where each of the plurality of single-shot image data acquisitions is associated with second values of echo spacing, flip angle, and number of image data lines per acquisition which are substantially similar to corresponding ones of the first values, generation of a plurality of images based on the respective sets of image data lines, determination of one of the plurality of images, the determined one of the plurality of images generated based on a set of image data lines acquired using a first inversion time, and execution of the inversion-recovery or saturation-recovery imaging pulse sequence using the first inversion time.