In one example embodiment of the invention, a simulation based training system is provided having a sensor that unobtrusively collects objective data for individuals and teams experiencing training content to determine the cognitive states of individuals and teams; time-synchronizes the various data streams; automatically determines granular and objective measures for individual cognitive load (CL) of individuals and teams; and automatically determines a cognitive load balance (CLB) and a relative cognitive load (RCL) measure in real or near-real time. Data is unobtrusively gathered through physiological or other activity sensors such as electroencephalogram (EEG) and electrocardiogram (ECG) sensors. Some embodiments are further configured to also include sociometric data in the determining cognitive load. Sociometric data may be obtained through the use of sociometric badges. Some embodiments further automatically customize the simulation content by automatically selecting content based on the CL of the individuals and teams.

In one example embodiment of the invention, a simulation based training system is provided having a sensor that unobtrusively collects objective data for individuals and teams experiencing training content to determine the cognitive states of individuals and teams; time-synchronizes the various data streams; automatically determines granular and objective measures for individual cognitive load (CL) of individuals and teams; and automatically determines a cognitive load balance (CLB) and a relative cognitive load (RCL) measure in real or near-real time. Data is unobtrusively gathered through physiological or other activity sensors such as electroencephalogram (EEG) and electrocardiogram (ECG) sensors. Some embodiments are further configured to also include sociometric data in the determining cognitive load. Sociometric data may be obtained through the use of sociometric badges. Some embodiments further automatically customize the simulation content by automatically selecting content based on the CL of the individuals and teams.

There is disclosed herein examples of systems and methods of processing captured heart sounds with frequency-dependent normalization. Based on an amount of attenuation of a first heart sound, a second heart sound can be normalized by modifying portions of the second heart sound by amounts determined based on frequencies of the portions. Accordingly, the systems and methods disclosed herein can result in different amounts of modification of different portions of the second heart sound based on the different frequencies of the portions.

There is disclosed herein examples of systems and methods of processing captured heart sounds with frequency-dependent normalization. Based on an amount of attenuation of a first heart sound, a second heart sound can be normalized by modifying portions of the second heart sound by amounts determined based on frequencies of the portions. Accordingly, the systems and methods disclosed herein can result in different amounts of modification of different portions of the second heart sound based on the different frequencies of the portions.

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac electrical activity data.

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac electrical activity data.

A heart rate detection device includes a sensor data acquisition device that acquires sensor data indicating an electrocardiogram of a living body to output a sequence of sampling data based on the sensor data, a first calculator that calculates, every sampling time, a time difference value of sampling data, a decision device that decides a heart rate time based on a change in the time difference value calculated by the first calculator exceeds a threshold that is set, a corrector that corrects the heart rate time based on when a cardiac potential becomes zero on a straight line passing through two points of sampling data at the heart rate time decided by the decision device and sampling data immediately before the sampling data at the heart rate time, and a second calculator that calculates a heart rate of the living body from the heart rate time that is corrected.

A heart rate detection device includes a sensor data acquisition device that acquires sensor data indicating an electrocardiogram of a living body to output a sequence of sampling data based on the sensor data, a first calculator that calculates, every sampling time, a time difference value of sampling data, a decision device that decides a heart rate time based on a change in the time difference value calculated by the first calculator exceeds a threshold that is set, a corrector that corrects the heart rate time based on when a cardiac potential becomes zero on a straight line passing through two points of sampling data at the heart rate time decided by the decision device and sampling data immediately before the sampling data at the heart rate time, and a second calculator that calculates a heart rate of the living body from the heart rate time that is corrected.

The differential voltage measuring system has a number of signal measuring circuits, each having a capacitive sensor element for capturing a measurement signal relating to the patient. The differential voltage measuring system further has a signal processing apparatus for determining at least one bioelectrical signal from the measurement signals and a computer unit which is configured to ascertain, on the basis of the at least one bioelectrical signal, and to provide, an item of breathing information, said breathing information indicating a breathing activity of the patient.

The present invention relates to a wearable smart appliance in the form of a wristwatch. The appliance is designed to track a user's vital signs and send real-time alerts to a paired electronic device for remote monitoring of the user. More specifically, the appliance tracks vital signs such as heart rate, and notifies a parent or guardian if the user is in danger. The appliance also includes a water sensor that activates an alert if the sensor is underwater for a certain length of time. A GPS sensor detects the current location of the user and is included in the real-time alerts during emergencies.