Otoacoustic Emissions (OAEs) are a technique for objective diagnosis of hearing impairment. Their application fields extend primarily to cases where the patient cannot actively cooperate in the clinical intervention, such as in hearing screening of neonates.
Because of the high cost of professional quipment, smartphones arise as a newer, cheaper tool to perform such tests. This Master's Thesis' objective is the analysis of the computational requirements of an OAE screening embedded system given a set of medical specifications. This device will communicate with a smartphone either per USB or through a wireless protocol, which adds the possibility to partition the algorithm among both systems.
The approach to accomplish the analysis involves the measurement of power consumption and real-time performance in the embedded system for different settings and implementation variants. Models can be built out of the experimental results, so that the profiled parameters can be linked to performance. This may in turn be used to find out the best set of hardware and software parameters to fulfill the application requirements in an optimal way.
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Otoacoustic Emissions (OAEs) are a technique for objective diagnosis of hearing impairment. Their application fields extend primarily to cases where the patient cannot actively cooperate in the clinical intervention, such as in hearing screening of neonates.
Because of the high cost of professional quipment, smartphones arise as a newer, cheaper tool to perform such tests. This Master's Thesis' objective is the analysis of the computational requirements of an OAE screening embedded system given...
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