This paper describes the evaluation and design of a PC-based Human Performance Measurement System (HPMS), which includes an expandable set of networked microprocessor-based modules, each of which targets subsets of an overall set of measures which may be of clinical relevance. Measures are defined according to a hierarchically organized resource model based on a small but robust set of systems performance constructs. This model provides internal consistency, simplicity, and a conceptual basis for interpreting results in predictive contexts. Issues that guided design of the overall architecture are described with regard to the variety of potential clinical demands. In addition, designs of a selected subset of the instrument modules are summarized, with special emphasis on transducers, signal processing, and definition of measures. Several clinical case examples are described to demonstrate application and versatility of the system.