Some hardware limitations will inevitably be a feature of the BAN devices that are worn by the user. These limitations should have no impact on the quality of service that is provided. In short BAN devices and systems should be Robust, power aware, mobile, and low cost and be readily implementable in a health care environment. This paper illustrates how these challenges can be addressed using recent developments in the area of systems science. In particular it is shown how Anti-Windup (AW) and Bumpless Transfer (BT) techniques can be applied to the design of next generation BANs that can address the aforementioned issues in an optimal fashion. Although the processing of relevant biometric information can consume valuable energy, it is clear that data transmission is the primary constraint on battery life in a BAN and can account for 70-90% of power usage (Ares et al., 2007). The benefits of transmission power control are obvious when there exists a need for the BAN to remain operational for extended periods of time and to this end a number of wireless network power control algorithms have already been proposed (Walsh et al., 2008; Alavi et al., 2008, Walsh et al., 2009, Alavi et al., 2010, Subramanian et al., 2005, Chen et al., 2006). These schemes have exhibited some success in extending battery lifetime while concurrently providing pre-specified levels of quality of service (QoS). This equates to the provision of sufficient data to reassemble biometric waveforms, (e.g. ECK, EEG, blood oxygen levels, pulse ect.), or to reliably detecting the movement of an elderly person, in an ambient fashion, be they at home or in a care facility.