Chapter 5 Conclusion and Future Work
5.2 Future Work
On the implementation level, further size, power and cost reductions can be achieved by integrating the biomedical multiprocessor together with the AFE and wireless communications module using either system-in-package (SIP) technology or mixed-signal IC design. To further reduce power consumption, the next generation design can also adopt more advanced low-power techniques such as power shut-off (PSO) and dynamic voltage and frequency scaling (DVFS). By employing these strategies, the portable biomedical sensing device can operate much longer and thereby improve further the patient’s healthcare experience.
From a system-level perspective, change in the way biomedical data is processed and used can also result in significant operational efficiencies. A possible future research direction would be the development of smart, expert system devices that require minimal user management, which prompt action from the user only when a disease condition requiring medical attention is automatically detected. For example, biomedical signal modalities suitable for such type of processing include body temperature, blood pressure and ECG, wherein objective boundary conditions indicating critical illness have already been researched
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and clearly defined previously. Thus, acquired biomedical signals can be processed locally and diagnoses be concluded on chip. For ECG, such a system has been developed in [79]. In such systems, there is no need to continuously transmit biomedical data wirelessly over to a science station, and so significant amounts of power can be saved. This way, the operating time of the portable biomedical sensing device can be prolonged even further.
Finally, next generation portable biomedical monitoring systems need not be limited to just the brain and heart. There are many other physiological signals/information that are important for monitoring the human health status. Examples are body temperature, blood oxygen levels (pulse oximetry), blood pressure, blood sugar levels, and many more. By integrating more kinds of biomedical data into one system, the usefulness and efficiency of the integrated biomedical monitoring system can be further increased, benefiting doctors, patients and the general population alike.
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