The last couple of years have given birth to meticulously mapped and innovative solutions inrnregards to product as well as research of medical analysis tools and diagnostic equipment. Thernindustry has shown a major transformation on the general process of diagnosis tools providingrnflexibility and enhanced accuracy. However, despite the astonishing progress of the bio-medicalrnindustry, the status of medical provision is still a concern in third world countries. Therninaccessibility and unaffordability of medical equipment in such countries needs immediaternattention as many people fall prey to this problem which can be solved through the provision of arnsupplementary solution that can aid the process of preliminary diagnosis. rnIn this thesis, the design of a front-end system for EEG, ECG and EMG signal acquisition is done.rnThe design addresses the problem of medical provision in under developed nations by providing arnsupplementary hardware that is portable making it cost-efficient and readily available. Moreover,rnit extends the research aspect in the area through the combination of a 3-in-1 signal acquisitionrnhardware and optimizing the design in regards to performance, complexity and scalability. rnOwing to the fact that the signals operated by the hardware are very weak in nature, the utilizationrnof low noise amplifiers with very high common-mode rejection ratio and gain adjustment isrncritical. Moreover, the implementation of analog-to-digital conversion needs a thorough analysisrnin regards to the architecture, resolution and area of application. Accordingly, the design in thisrnthesis is specifically done so as to improve the performance in regards to noise cancellation,rnminimization of filter circuitry, number of channels and overall circuit complexity. rnVerification of the design is done with the co-simulation of PSPICE and SIMULINK. Thernsimulation is carried out for individual cases of EEG, EMG and ECG application by usingrnphysiological signals of patients from PhysioNet.org through the addition of noise signals to mimicrnactual physical application of the hardware. Furthermore, the output is analyzed and comparedrnwith existing products and previous researches in the area which yielded a 21% improvement inrncommon-mode rejection ratio and a 33% increase in channel capacity.