Cloud‐Based Privacy‐Preserving Remote ECG Monitoring and Surveillance

摘要: Background The number of technical solutions for monitoring patients in their daily activities is expected to increase significantly the near future. Blood pressure, heart rate, temperature, BMI, oxygen saturation, and electrolytes are few physiologic factors that will soon be available physicians almost continuously. The availability transfer this information from patient health provider raises privacy concerns. Moreover, current data encryption approaches expose during processing, therefore restricting utility applications requiring analysis. Methods We propose a system couples techniques with analytic methods permit extraction relevant without compromising privacy. This proposal based on concept fully homomorphic (FHE). Since technique known resource-heavy, we develop proof-of-concept assess its practicality. Results presented our prototype system, which mimics live QT detection drug-induced prolongation. Results Transferring FHE-encrypted RR samples requires about 2 Mbps network bandwidth per patient. Comparing values—-for example, comparing QTc given threshold—runs quickly enough modest hardware alert doctor important results real-time. Conclusions We demonstrate FHE could used securely analyze ambulatory data. We present unique represent disruptive type technology broad multiple devices. Future work focus performance optimizations accelerate expansion these other applications.