Fig 1.
The schematic diagram of the ergometer used in our cycling-based real-time fatigue and cardiac stress monitoring and analysis system.
It mainly consists of a stationary bicycle equipped with a resistor, crank angle detector and the wireless EMG and ECG sensors with sensor interface devices.
Fig 2.
Schematic block diagram of overall system configuration.
Fig 3.
A preprocessed ECG segment measured during a cycling test.
Fig 4.
An RR data segment.
Fig 5.
DFA scaling exponent α estimates derived from the RR time series.
Fig 6.
CSI tracings.
Fig 7.
FPM tracings.
Fig 8.
Mean HR values evaluated over all the subjects at the four stages of the cycling movement.
Fig 9.
Mean α values evaluated over all the subjects at the four stages of the cycling movement.
Fig 10.
Mean CSI values evaluated over all the subjects at the four stages of the cycling movement.
Fig 11.
Mean FPM values of VL evaluated over all the subjects at the four stages of the cycling movement.
Fig 12.
Mean FPM values of GAS evaluated over all the subjects at the four stages of the cycling movement.
Table 1.
Statistical analysis results of the modeling parameter estimation derived from the linear regression model in (3).
Table 2.
Statistical analysis results of the modeling parameter estimation derived from the linear regression model in (4).
Table 3.
Statistical analysis results of the modeling parameter estimation derived from the linear regression model in (5).