Data management for mobile healthcare monitoring (original) (raw)

Wireless Sensor Network Integrating with Cloud Computing for Patient Monitoring

2013

In past years, Patient observation is done manually or by using wireless Body Sensor Network which is sensibly observed by medical organization agents. Mesh network is used for reading physiological framework and clear description of the patient using wireless sensors. Inventive Agents are proposed for alerting medical organization and data aggregation. Cloud is also proposed for supporting healthcare community and remote or mobile patient monitoring.

Sensor-Cloud: A Hybrid Framework for Remote Patient Monitoring

International Journal of Computer Applications, 2012

Remote patient monitoring is a crucial/decisive issue in healthcare system. Healthcare systems strive to improve the quality of service and cost effectiveness of care. Due to the distributed computing nature of wireless sensor network, they play an important role in providing solution to healthcare obstacles based on real time data. Sensor networks are responsible for integrating the physical world with digital world. But sensors are constrained with insufficient computational power, less storage resources, limited lifetime & prone to failure. On the other hand cloud is full of huge memory, high band width, etc which swifts the data processing faster and provide quick response to user. In this paper we have proposed a hybrid frame work by integrating sensor network with cloud computing to monitor the remote patient health status and take necessary aid.

A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions

2010 Second International Conference on eHealth, Telemedicine, and Social Medicine, 2010

Existing processes for patients' vital data collection require a great deal of labor work to collect, input and analyze the information. These processes are usually slow and error-prone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. We propose a solution to automate this process by using ¿sensors¿ attached to existing medical equipments that are interconnected to exchange service. The proposal is based on the concepts of utility computing and wireless sensor networks. The information becomes available in the ¿cloud¿ from where it can be processed by expert systems and/or distributed to medical staff. The proof-of-concept design applies commodity computing integrated to legacy medical devices, ensuring cost-effectiveness and simple integration.

A CLOUD COMPUTING RESOLUTION IN MEDICAL CARE INSTITUTIONS FOR PATIENT'S DATA COLLECTION

Existing processes for patients' vital data collection require a great deal of labor work to collect, input and analyze the information. These processes are usually slow and error prone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. We propose a solution to automate this process by using " sensors " attached to existing medical equipments that are interconnected to exchange service. The proposal is based on the concepts of utility computing and wireless sensor networks. The information becomes available in the " cloud " from where it can be processed by expert systems and/or distributed to medical staff. The proof-of-concept design applies commodity computing integrated to legacy medical devices, ensuring cost effectiveness and simple integration.

Opportunities and Challenges of Sensor Networks in Health Care Applications

Asian Journal of Engineering and Applied Technology

Healthcare is a promising application of the cloud computing technology. Healthcare network over the cloud has been described in this paper. The existing processes for patients’ vital data collection require a great deal of labor work to collect, input and analyze the information. These processes are usually slow and error prone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. A solution has been proposed to automate this process by installing health kiosk and integrate the devices. The information becomes available in the “cloud” from where it can be processed by expert systems and or distributed to medical staff. This design is able to make the system more user-friendly while retaining all the benefits of more complicated processes.

Rolim-Cloud Computing Solution for Patient's Data Collection in Health Care Institutions

Existing processes for patients' vital data collection require a great deal of labor work to collect, input and analyze the information. These processes are usually slow and errorprone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. We propose a solution to automate this process by using "sensors" attached to existing medical equipments that are inter-connected to exchange service. The proposal is based on the concepts of utility computing and wireless sensor networks. The information becomes available in the "cloud" from where it can be processed by expert systems and/or distributed to medical staff. The proof-of-concept design applies commodity computing integrated to legacy medical devices, ensuring costeffectiveness and simple integration.

Toward a Nationwide Mobile-Based Public Healthcare Service System with Wireless Sensor Networks

Mobile Information Systems, 2016

This paper describes the development of a nationwide public healthcare service system with the integration of cloud technology, wireless sensor networks, and mobile technology to provide citizens with convenient and professional healthcare services. The basic framework of the system includes the architectures for the user end of wireless physiological examinations, for the regional healthcare cloud, and for national public healthcare service system. Citizens with chronic conditions or elderly people who are living alone can use the wireless physiological sensing devices to keep track of their health conditions and get warning if the system detects abnormal signals. Through mobile devices, citizens are able to get real-time health advice, prompt warning, health information, feedback, personalized support, and intervention ubiquitously. With the long-term tracking data for physiological sensing, reliable prediction models for epidemic diseases and chronic diseases can be developed for...

Design smart hospital system based on cloud computing

Indonesian Journal of Electrical Engineering and Computer Science

Smart healthcare is a program that provides services to patients and healthcare assistants at any time, it is used smartly with cloud computing. A smart mobile device can collect data from a wide range of receiving sets (Wi-Fi and cloud), underwired sensors, the internet of things (IoT). It permits doctors to monitor and diagnose patients with small embedded devices that are unobtrusive, wireless, lightweight, and capable of detecting, interpreting and communi-cating physiological signs easily in a timely manner without the need for a doctor present. This paper develops integrated smart records and reports and is shared via the cloud. A variety of small devices have been used that detect the object to be sensed and then tell the person monitoring the patient's condition, for example, body and room temperature, oxygen percentage, heart rate). This data is sent to the server via the Internet. To store details and monitor the patient through it. In the event that any error occurs i...

A smart system connecting e-health sensors and the cloud

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015

This paper presents the design and implementation of an e-health smart networked system. The system is aimed to prevent delays in the arrival of patients' medical information to the healthcare providers, particularly in accident and emergency situations, to stop manual data entering, and to increase beds capacity in hospitals, especially during public events where a large number of people are meeting in one place. The architecture for this system is based on medical sensors which measure patients physical parameters by using wireless sensor networks (WSNs). These sensors transfer data from patients' bodies over the wireless network to the cloud environment. Therefore, patients will have a high quality services because the e-heath smart system supports medical staff by providing real-time data gathering, eliminating manual data collection, enabling the monitoring of huge numbers of patients.