This paper presents the proposed modeling of a 13-bit auto-configurable successive approximation register analog digital converter (SAR-ADC) used for biomedical industry applications. With a Matlab model, the proposed SAR-ADC uses the non-ideal switching to an ideal ADC model, therefore, the non-ideal circuitry implemented at the transistor-level as in the conventional methodology can be isolated. The SAR ADC blocks are modelled according to how the ADC works in voltage mode or current mode and under non-ideal cases such as the effects of clock jitter and noise. Thanks to the above advantages, the behavioral modeling method allows the designer to create an environment to give the most accurate electrical and dynamic parameters. With 13-bit SAR ADC, this paper has measured performance parameters as signal-to-noise ratio (SNR) as high as 79.96dB, effective numbers of bits (ENoB) of 12.98 bits with the spurious-free dynamic range (SFDR) of only 101.16dB.