https://www.selleckchem.com/JAK.html
This methodology is extensible to other wearable sensors. Determining the optimal sampling rate allows us to compress biomedical data and reduce storage needs and financial costs. We have used optical heart rate sensors as a case study for the connection between data volumes and resource requirements to develop methodology for determining the optimal sampling rate for clinical relevance that minimizes resource utilization. This methodology is extensible to other wearable sensors. Access to cutting-edge technologies is essential for investigators to
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