Impact of Sampling Frequency on the Performance of DEVIN: A personal EM UL Exposimeter

DEVIN is a miniaturized personal electromagnetic (EM) exposimeter that allows recording powers emitted by the mobile phone as well as identifying the user activities along the day. It is simply a hardware integrated into the shell of the smartphone. In the context of epidemiological studies, DEVIN is required to collect data from volunteers over a long period of time, e.g., a week. This implies a critical challenge related to the autonomy of its battery, which should be charged once per day. One solution to extend the battery autonomy consists on decreasing the sampling frequency. Therefore we intend in the present work to evaluate the performance of DEVIN at two different sampling frequencies for two various signals types, i.e., voice over LTE (VoLTE) and data uploading signals.