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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.

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Fig 2.

Schematic block diagram of overall system configuration.

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Fig 3.

A preprocessed ECG segment measured during a cycling test.

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Fig 4.

An RR data segment.

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Fig 5.

DFA scaling exponent α estimates derived from the RR time series.

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Fig 6.

CSI tracings.

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Fig 7.

FPM tracings.

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Fig 8.

Mean HR values evaluated over all the subjects at the four stages of the cycling movement.

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Fig 9.

Mean α values evaluated over all the subjects at the four stages of the cycling movement.

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Fig 10.

Mean CSI values evaluated over all the subjects at the four stages of the cycling movement.

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Fig 11.

Mean FPM values of VL evaluated over all the subjects at the four stages of the cycling movement.

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Fig 12.

Mean FPM values of GAS evaluated over all the subjects at the four stages of the cycling movement.

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Table 1.

Statistical analysis results of the modeling parameter estimation derived from the linear regression model in (3).

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Table 2.

Statistical analysis results of the modeling parameter estimation derived from the linear regression model in (4).

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Table 3.

Statistical analysis results of the modeling parameter estimation derived from the linear regression model in (5).

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