Integrating Memory Devices with Biosensors-An Efficient Framework

Biosensors are important to a current healthcare system because they provide the possibility of continuous observation of physiological and biochemical parameters. Nevertheless, biosensors pose a challenge to the reliable storage of its output because of the low amplitude, noise sensitive and time varying nature of bio signals. The smart healthcare applications will thus require efficient interconnection between biosensor outputs and memory devices to ensure integrity of data and offline analysis and smart decisions. This essay is a system level analysis of incorporating biosensor results into embedded memory devices. The paper analyses an architecture that integrates signal conditioning, analog-to-digital conversion, data formatting and structured memory interfacing to facilitate proper and low-energy storage of biosensor data. The design considerations that are motivated by low-power logic and memory architecture are presented with the intent of reducing switching activity and enhancing reliability in performing memory write and read operations. The suggested framework offers flexible and scalable reference architecture that can be scaled to the various kinds of biosensors and memory technologies. The paper shows the suitability of such an integrated solution to wearable and embedded healthcare systems and its possibilities of being expanded to other more sophisticated memory technologies and smart processing platforms in future smart healthcare products.