Wave nature of fractal lacunarity: a higher resolution scale to capture subtle changes in ECG signals

Lacunarity is a feature of a fractal set. Its wave nature was predicted theoretically by Bloomenfeld and Mandelbrot. In this paper, we present our result confirming the existence of wave nature of lacunarity for ECG signals which are statistical fractal sets. We have applied this wave nature of lacunarity to capture the subtle changes in ECG signals in a very short time span of about one minute to predict occurrence of termination of atrial fibrillation for a subject, whose ECG is being monitored continuously. This method can be used to detect the minute subtle changes of ECG signals which are caused by other physiological events as well and needs further investigation to standardize it