The paper discusses the analysis of ECG (electrocardiogram) in order to determine the moment of transition from a state of wakefulness to a state of drowsiness of the vehicle driver. A portable device for getting ECG using the first standard lead has been developed. The signal is collected using electrodes built into the steering wheel or driver’s vest and transmitted to a processing device via Bluetooth technology. A spectral analysis of the recorded ECG is carried out using the method of R.M. Baevsky. A decision-making algorithm has been developed and implemented to detect the driver’s transition from wakefulness to drowsiness, if detected, an alarm is generated.
Vehicle Driver Condition Monitoring System Based on Electrocardiographic Signal Analysis
2023-11-15
742494 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch