A bio-monitoring system for armor plates. A piezoelectric sensor is used to measure flexing of an armor plate resulting from a wearer's respiration. The resulting measurements are used to determine at least one of a respiration rate and a heart rate of the wearer. Additional bio-monitoring sensors may be used. The system may be used in combination with an armor plate damage detection system.

A multi-application-transceiver device, control computer, computer implemented method and computer program product for operating the multi-application-transceiver device is disclosed. At least one signal transceiver receives a reflected signal in response to an original signal sent by the at least one signal transceiver. The reflected signal is reflected from at least one target object. A signal conversion unit converts the reflected signal into digital format. A digital signal processor component pre-processes the converted reflected signal using an alterable rule engine with a received rule set to discriminate a state inn change of the at least one target object against an earlier state of the at least one target object in the context of a particular monitoring application. A middleware component communicates with at least one remote computing device wherein communicate includes to send the pre-processed signal to the remote computing device, and to receive from the at least one remote computing device the rule set for the alterable rule engine. The received rule set defines an application specific setting for the at least one signal transceiver and for the digital signal processor component to enable the particular monitoring application.

A method and apparatus for monitoring arterial properties, including systolic and diastolic pressure levels, of a subject is provided, in which a hardware processor receives and analyzes ballistocardiogram (BCG) data of the subject. A non-transient computer readable medium, accessible by the hardware processor, contains instructions that, when executed by the hardware processor, identify features of the BCG waveform and determine the arterial properties therefrom. For example, a diastolic pressure level may be determined from a time interval between the ‘I’ and ‘J’ peaks of the waveform and a systolic pressure level determined from the amplitude difference between the ‘J’ and ‘K’ peaks of the waveform in combination with the ‘I-J’ time interval or amplitude difference. A physical mechanism for the BCG data is disclosed that enables other arterial properties of the subject to be determined from the BCG data alone or from the BCG data in combination with other measurements.

The device for non-invasive monitoring of intracranial pressure (1) includes a measuring mat (2), processor unit (3), device for recording electrical activity of the heart (4), device for invasive measurement of arterial blood pressure (5), imaging device 6 and network connector (7). The measuring mat includes the processor unit (3) and sensors, at least one sensor (8) monitoring mechanical movement caused by the bloodstream dynamics. The ICP calculation methods use the Windkessel model and the relation between the start of the R-wave and the time delay of the mechanical movement of the head, which is related to the reflection of the pulse wave in the head.

A wearable system and method for providing BCG data from a user including a wearable sensor configured to receive cardiogenic surface vibration waveforms, a calibrating sensor configured to receive cardiogenic center-of-mass (COM) vibration waveforms, and a processor configured to use the COM vibration waveforms as a template for modifying the surface vibration waveforms to provide health-related outputs. A systematic approach for elucidating the relationship between surface vibrations of the body in the head-to-foot direction from the wearable sensor, and the movements of the whole body as measured by the calibrating sensor is disclosed. Additionally, a methodology for converting the wearable acceleration signals to BCG signals such that the same analysis and interpretation tools can be used for both measurements is presented. High-resolution measurements of the surface accelerations of the body related to the heartbeat with a low weight accelerometer will minimally load the measurement in the transverse direction.

A method and associated apparatus combine a calculation of chaos of a quantifiable cardiac characteristic associated with a patient with a measurement of a non-increasing parasympathetic activity of the patient to detect a physiological abnormality of the patient.

An apparatus and method for characterizing a region of interest (ROI) including measuring position and orientation data within the ROI; and generating a geometric data set to include one or more of: length, bifurcation location, angle and curvature characteristics of the ROI. Also, sequentially taking an image of a tool within the ROI; comparing tool dimensions with ROI dimensions; and estimating diameter, length, take-off angle, and/or tortuosity characteristics based on the comparisons.

A holding instrument includes a holding portion that holds a measurement apparatus. The measurement apparatus includes a gyro sensor that detects change in a measured part of a user and a controller that performs a process of measuring biological information of the user based on output of the gyro sensor. The holding instrument is embraced by the user during use while the holding portion is holding the measurement apparatus.

The invention disclosed here is sensor technology incorporating a closed-loop mathematical model of a cardiovascular system, for detection and/or monitoring of a cardiovascular status of a test subject. The closed-loop cardiovascular model equates common circuit components with real-world cardiovascular parameters, and is capable of tracking and/or predicting cardiovascular behavior.

An apparatus for non-invasively estimating blood pressure is provided. According to one embodiment, the apparatus for estimating blood pressure may include a bio-signal sensor configured to measure a bio-signal from a user and a processor configured to extract a feature from the bio-signal at an extraction time, acquire an offset based on a relative change value of the feature extracted at the extraction time, relative to a reference value of the feature obtained a time of calibration, and estimate blood pressure based on the relative change value of the extracted feature and the acquired offset.