This abstract review an original research article on the topic of digital filter design for enhanced brain wave signals reception from the central nervous system (CNS) of the brain. The paper emphases on the development of an accurate digital filter to recover the reception and processing of brain wave signals, that is being considered to play a vital role in the brain functioning and diagnosing of suitable neurological disorders. The research paper reconnoitres advanced digital signal processing techniques and several other methodologies for effectively apprehending and analysing brain wave signals, considering all their unique characteristics and challenges. In this paper various filter design techniques, including Finite Impulse Response (FIR) filters and Infinite Impulse Response (IIR) filters are examined and evaluated for their aptness in optimizing CNS signal reception. The paper presents a detailed analysis of the optimization strategies working, such as Power Spectral Density, Power Spectral Efficiency, Upper cut-off frequency, Lower Cut-off frequency, Bandwidth and Delta power parameter calculations, to enhance the performance and accuracy of the digital filter. The research paper aims at discussing the potential applications of the developed digital filter in neuroscientific research and medical diagnosis, including brain-computer interfaces (BCIs), mental state monitoring and clinical neurology. The findings of the research contribute to the existing body of knowledge by providing visions into digital filter design for brain wave reception, thus facilitating developments in the field of neuroscience and refining healthcare outcomes.