The measurement of bioelectrical signals has long tradition and is extensively used in clinical setting. There are various areas of application, including, among others, intensive-care medicine, typically for continuous monitoring of heart --- electrocardiography (ECG) --- and brain activity --- electroencephalography (EEG) --- providing important information about health condition and physiological processes. Another widespread application of bioelectrical signals is electromyography (EMG),

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... ch is used in physical medicine and rehabilitation, especially for diagnostic tests such as nerve conduction studies and movement analysis, or for the control of prosthesis. Due to the vast amount of information carried in bioelectrical signals, they are also widely used in many research areas which require the conduct of various novel tests that might not be feasible with conventional integrated measurement systems. For this reason, there is a continuous need of custom-developed solutions, tailored according to specific requirements. Consequently, tools that facilitate the flexible and efficient development of such measurement applications are highly demanded. The goal of this thesis was the implementation of a driver library for a custom acquisition device, developed at the Medical University of Vienna, suitable to implement measurement applications for various types of bioelectrical signals and sensors, based on the National Instruments LabVIEW platform. Using that driver library, a recording system for EMG signals was developed that allows the simultaneous acquisition of data from two measurement devices with a total of 16 channels. Due to the architecture of the driver library, consisting of a set of highly cohesive modules, a certain degree of scalability is provided which, in theory, allows parallel operation of an arbitrary number of devices, however, that number is restricted by the available resources of the executing computer system. As a proof-of-functionality, the measurement system was used in a small prelimi [...]