Gaona García, Paulo AlonsoVargas Alvarado, Fredy AlexanderMendoza López, Daniel FernandoGaona García, Paulo AlonsoMontenegro Marín, Carlos Enrique2018-01-262018-01-262017-05-23http://hdl.handle.net/11349/7392Methods for carrying out clinical patient histories and their subsequent monitoring have been presented for several decades. Today, has awakened the interest of many health areas, determine mechanisms that allow patients to be monitored at low cost, by capturing events in devices that are used through the Internet of Things. The purpose of this article is to present a communication infrastructure proposal for the capture of a person's heartbeats through sensors and their subsequent storage in the cloud via wireless to a server. Factors that affect the response times of these systems are addressed through asynchronous task queuing.Methods for carrying out clinical patient histories and their subsequent monitoring have been presented for several decades. Today, has awakened the interest of many health areas, determine mechanisms that allow patients to be monitored at low cost, by capturing events in devices that are used through the Internet of Things. The purpose of this article is to present a communication infrastructure proposal for the capture of a person's heartbeats through sensors and their subsequent storage in the cloud via wireless to a server. Factors that affect the response times of these systems are addressed through asynchronous task queuing.pdfspaAtribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Internet of ThingsCloud ComputingAsynchronous Task QueueHeartbeatReal TimeRemote MonitoringINGENIERÍA DE SISTEMAS - TESIS Y DISERTACIONES ACADÉMICASINTERNET DE LAS COSASCOMPUTACIÓN EN LA NUBEMONITOREO DEL RITMO CARDÍACO - INNOVACIONES TECNOLÓGICASinfo:eu-repo/semantics/restrictedAccessInternet of ThingsCloud ComputingAsynchronous Task QueueHeartbeatReal TimeRemote MonitoringCreación o InterpretaciónRestringido (Solo Referencia)