Interference Reduction and Power Optimization in Wireless EEG for Healthcare Applications
As wireless technology is advancing, the design and development of a more reliable and portable health care system is possible. In this paper we propose an efficient wireless sensor network for remote monitoring of patients with neurological disorders that can provide basic health service to rural areas. As a result, the elderly patients no longer need to travel long distances to reach the nearest health care center. Bioelectric signals are often affected by an excessive level of interference, mainly from power supply. In this paper various interference reduction techniques are considered in the case of analog front-end design. Another important design challenge in this case is in the area of power consumption, since continuous monitoring is needed for the diagnosis of neurological disorders. Thus an efficient power reduction technique is considered in the proposed design of a wireless sensor network with reduced interference and optimized power.
System architecture is shown below.