Biomedical Rehabilitation: Data Error Detection and Correction Using Two Dimensional Linear Feedback Shift Register Based Cyclic Redundancy Check

摘要

Biomedical applications play an important role in medicine and biological based healthcare issues. The biomedical process used to recognize, diagnose the diseases using the physiological parameters such as body glucose, pressure, heart rate, blood oxygen saturation, blood sugar level, blood pressure, perspiration rate etc. By the use of various physiological parameters, problems associated with disabilities are recognized using the biomedical concept. The recorded features from the disabilities are transmitted to the healthcare centers for recognize the disease but the main issues present in the biomedical system is quality of data transmission. So, in this paper we introduce the two dimensional Linear Feedback Shift Register (LFSR) based Cyclic Redundancy Check method (CRC) for error identification in the biomedical data. The proposed method encodes and decodes data while making the transmission which completely reduces the error activities. Based on the secure transaction, the rehabilitation of the person can be provided with effective manner. Further, the efficiency of the system is also examined with the help of the experimental results and discussions which in turn help to monitor the disability patient's health.