Low-frequency detection in ECG signals and joint EEG-Ergospirometric measurements for precautionary diagnosis

► We perform a cross-validation of measurements from ECG, EGG and ergospirometry. ► We try to find the minimum number of instrumentation for diagnosis. ► We show that ECG is not sufficient for patients with suspected cases of epilepsy. ► For the above people ergospirometry and EEG are necessary. ► We try to find elements necessary for helping clinicians for making decision. HRV (Heart Rate Variability) is an indicator that can be related to different human organs and systems: breathing, heart, brain, pulmonary system, etc. In cardiac clinic, physical exertion can be pre-assessed thanks to HR (Heart Rate) response using appropriate tests to rule out eventual cardiac dysfunction prior to undergo patient to further exams, surgical operations and rehabilitation activities. HR assessment must determine the capability of patient to continue exertion up to a certain level without having angina pain symptoms and brain dysfunctions. The variability of HR is a marker of dynamic load because it is sensitive and responsive to acute stress. Moreover it is also a marker of a cumulative wear and tear because it declines with advancing age. In this paper we propose combined measurements of EEG-Ergospirometry and ECG for patient’s cardio-pulmonary condition assessment for allowing doctors to make a decision on rehabilitation or surgical operation for people suspected of suffering from epilepsy seizures. Measurements assessed using frequency domain parameters have permitted the determination of low and high frequencies that are related to sympathetic and parasympathetic activities respectively.