G-LOC warning method and system using G-LOC warning algorithm
AssigneeRepublic of Korea (Rok Air Force Chief of Staff)
InventorsDongsoo Kim, Booyong Choi
Life of this patent
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Abstract
The present invention relates generally to a method for preventing gravity-induced loss of consciousness (G-LOC), which arises from increased acceleration during flight, and more particularly, to a G-LOC warning method and system using a G-LOC warning algorithm, which detects, in advance, risk factors that cause a G-LOC state by monitoring a change in the electromyogram (EMG) signal in real time. According to the G-LOC warning method and system using the G-LOC warning algorithm of the present invention, because information about the EMG signal is measured and collected in real time, changes in the EMG signal of a pilot who is exposed to high levels of acceleration during a flight maneuver are measured and checked on the spot.
Claims15
A gravity-induced loss of consciousness (G-LOC) warning method, comprising:
- measuring an electromyogram (EMG) signal of a muscle using an EMG sensor and storing the EMG signal;
- setting reference values to an initial reaction value of an integrated absolute value (IAV) and an initial reaction value of a waveform length (WL), calculated based on an initial EMG signal, which is measured for a certain time period from a start of measurement of the EMG signal, and storing the reference values;
- monitoring the EMG signal in real time using the EMG sensor, calculating the IAV, the WL, a change in a slope of the IAV, and a change in a slope of the WL from the monitored EMG signal, as indication values, and storing the indication values;
- and
- comparing the reference values with the indication values
- determining that the slope of the IAV and the slope of the WL, calculated in real time, decrease N successive times and that each of a measured IAV and WL is equal to or less than a certain percentage of the reference value thereof, and ascertaining based on the determining that a risk of G-LOC exists, wherein a warning signal is generated based on the ascertaining.
A gravity-induced loss of consciousness (G-LOC) warning method, comprising:
- measuring an electromyogram (EMG) signal of a muscle using an EMG sensor and storing the EMG signal;
- setting reference values to an initial reaction value of an integrated absolute value (IAV) and an initial reaction value of a waveform length (WL), calculated based on an initial EMG signal, measured for a certain time period from a start of measurement of the EMG signal, and storing the reference values;
- monitoring the EMG signal in real time using the EMG sensor, calculating the IAV, the WL, and changes in slopes of the IAV and WL from the monitored EMG signal, as indication values, and storing the indication values;
- and
- comparing the reference values with the indication values,
- determining that each of the IAV and the WL, measured in real time, is equal to or less than a certain percentage of the reference value thereof N successive times, and ascertaining based on the determining that a risk of G-LOC exists, wherein a warning signal is generated based on the ascertaining.
A gravity-induced loss of consciousness (G-LOC) warning system, comprising:
- a sensor unit, including an EMG sensor, for measuring an EMG signal by being affixed on a part of a body of a user;
- a control unit for setting reference values using an initial reaction value of an integrated absolute value (IAV) and an initial reaction value of a waveform length (WL) based on the measured EMG signal, for calculating the IAV, the WL, a change in a slope of the IAV, and a change in a slope of the WL as indication values by monitoring the EMG signal in real time using the EMG sensor, and for determining whether a risk of G-LOC exists through a series of determination processes using the reference values and the indication values;
- a display unit for receiving the EMG signal and displaying an action potential of the EMG signal;
- and
- a warning unit for receiving a warning signal.
Dependencies are inferred from the claim text.