Assessment of an IoT Platform for Data Collection and Analysis for Medical Sensors

摘要: Health facilities produce an increasing and vast amount of data that must be efficiently analyzed. New approaches for healthcare monitoring are being developed every day the Internet Things (IoT) came to fill still existing void on real-time monitoring. A new generation mechanisms techniques used facilitate practice medicine, promoting faster diagnosis prevention diseases. We proposed a system relies IoT storing medical sensors with analytic capabilities. To this end, we chose two which were thoroughly evaluated. Apache HBase presents higher rate ingestion, when collaborating Kaa platform, than Cassandra, exhibiting good performance unstructured data, as presented in environment. The outcome has shown possibility large number simultaneously connected same platform (6000 records sent by second or 48 ECG frequency 125Hz). results paper promising should further investigated comprehensive would benefit patient's but also physicians.