Towards smaller size and portable way in biomedical equipment’s designs become a main current trend. However, downsizing components in hardware scale, should encounter circuit-layout problems and faster logical processor to handle impedance matching, noise filtering and algorithm implementing. Thus, we proposed a platform, which was including a FPGA as core, isolated circuits, amplifiers, analog filters, ADC, input and output interfaces. As for firmware, we simulated digital filters design by using Simulink®, Xilinx® FADTOOL toolbox and System Generator. After algorithm evaluated, timing arrangement, IP debug and FPGA synthesis, we uploaded bitstream program to the core chip, Spartan 3A XC3S700A, to execute multi-purpose bio-signals measurements. Moreover, we made statistical analysis in raw MIT/BIH ECG normal database and their data just buffer-passing through FPGA platform, the results showed their high accuracy 99.3±1.5% (P<0.01). Again, we adapted RIGEL® vital signs simulators as bio-signal sources, to access algorithms in ECG beat detection and arrhythmia detection, had high accuracy of 98.9±0.5% (P<0.001) and 94.6±3.5% (P<0.01), respectively. Here, we showed a real-time four channels ECG in temporal signals, and EOG in temporal and spectral analysis with embedded Short-Time Fourier Transform (STFT). The goal of this project was to design a FPGA-based platform to meet portable, programmable and cutting-edge designs.