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In the health-care area, there is a growing demand for devices capable of monitoring cardiorespiratory function in a simple and comfortable way without interfering with the patient's behavior. Smart monitoring systems are also requested for the recording of vital signs in healthy subjects for research, assessment of performances, safety, and injury prevention purposes. Typical nonclinical areas of application include ergonomics, occupational medicine, wellness, and sport. This article describes the issues of the garment design and real-time signal processing during the tuning of MagIC for a nonclinical use. The new methodology for the optimization of the garment structure is reported and the solution adopted for estimating multifactorial parameters from the stream of data flowing from the vest is discussed. Additionally, results obtained during parachutists' jumps are also illustrated as a practical example of applicability of MagIC in nonclinical environments.