The benefits of health monitoring solutions continue to be validated in terms of cost effectiveness and improved clinical results. Infact, use of medical devices and wearable sensor-based system to monitor patients' health conditions are continuosly increasing both internally to hospitals and home. In this paper we proposed a system that is intended to monitor patients' physiological parameters to detect abnormal cardiac accelerations and patient falls in real-time. The core of this paper is the realization of an advanced mobile monitoring system based on a modular software architecture that simplifies technological or functional changes. Thanks to this architecture, it was easy to introduce a software module dedicated to the fall detection based on threshold-based algorithm. The paper also describes a case study where the system has revealed important benefits both for patients and medical staff.
An Advanced Mobile System for Indoor Patients Monitoring
Giovanna Sannino;Giuseppe De Pietro
2011
Abstract
The benefits of health monitoring solutions continue to be validated in terms of cost effectiveness and improved clinical results. Infact, use of medical devices and wearable sensor-based system to monitor patients' health conditions are continuosly increasing both internally to hospitals and home. In this paper we proposed a system that is intended to monitor patients' physiological parameters to detect abnormal cardiac accelerations and patient falls in real-time. The core of this paper is the realization of an advanced mobile monitoring system based on a modular software architecture that simplifies technological or functional changes. Thanks to this architecture, it was easy to introduce a software module dedicated to the fall detection based on threshold-based algorithm. The paper also describes a case study where the system has revealed important benefits both for patients and medical staff.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.