The invention relates to a computer-implemented method for biofeedback training of a subject, said method comprising iteratively obtaining a series of biomarkers, each biomarker being representative of a bio-signal of the subject on a first time window; computing an intermediate threshold Thr intermediate(t) based on the series of biomarkers on a second time window, such that said intermediate threshold on said second time window could provide the subject with an expected reward ratio; computing a threshold Thr(t) as the weighted sum of the intermediate threshold Thrintermediate(t) and the threshold of the previous iteration Thr(t-1) and reporting in real-time a reward to the subject based on the difference between the biomarker and the computed threshold Thr(t), wherein at each iteration the time windows are moved forward in time. The invention also relates to a system for implementing the method of the invention.
AUTOMATED THRESHOLDING FOR UNSUPERVISED NEUROFEEDBACK SESSIONS