Development and Evaluation of a Python Telecare System Based on a Bluetooth Body Area Network

Morón, M. J.; Gómez-Jaime, A.; Luque, J. R.; Casilari, E.

doi:10.1155/2011/629526

Cited by 7 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Each solution combines one or more of the aforementioned measurements, in an ad-hoc manner, principally driven by a specific project or user requirements. For instance, heart activity, blood pressure, and glucose are monitored and managed in [ 11 ], glucose levels and heart activity are addressed by [ 12 ], pulse and temperature signals are recorded by [ 13 ], a pulse oximeter and GPS data are employed by [ 14 ], while cardiac, respiratory and motor activity are monitored by [ 15 ]. Systematic reviews of mobile health applications provide lists and insights on the various solutions that have been developed [ 7 , 9 , 10 , 16 ].…”

Section: Related Workmentioning

confidence: 99%

Monitoring Health Parameters of Elders to Support Independent Living and Improve Their Quality of Life

Adami

Foukarakis

Ntoa

et al. 2021

Sensors

View full text Add to dashboard Cite

Improving the well-being and quality of life of the elderly population is closely related to assisting them to effectively manage age-related conditions such as chronic illnesses and anxiety, and to maintain their independence and self-sufficiency as much as possible. This paper presents the design, architecture and implementation structure of an adaptive system for monitoring the health and well-being of the elderly. The system was designed following best practices of the Human-Centred Design approach involving representative end-users from the early stages.

show abstract

Section: Related Workmentioning

confidence: 99%

Monitoring Health Parameters of Elders to Support Independent Living and Improve Their Quality of Life

Adami

Foukarakis

Ntoa

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Morón et al [48] Spain C -X X Chronic/Elderly patients A monitoring mHealth system based on a smartphone which collects information about a patient's location and health status (through medical sensors) and detects emergency situations. These data are sent to a central server which allows physicians to get access to patient data and configure the BAN sensors remotely using a conventional web browser.…”

Section: (Continued)mentioning

confidence: 99%

“…Consequently, in addition to the previous building blocks, these mHealth platforms comprise a monitoring system that mainly involves a remote database where the collected physiological data are periodically sent and stored, allowing doctors, family and friends (with different functionality privileges) to view and manage the current and the past conditions of the patient or to configure the BSN sensors remotely, using a conventional web browser. The purposes of these mobile applications are generally related to the monitoring of health parameters [31], [38], [40][41][42][43][44][45][46][47][48][49]; the supervision of rehabilitation interventions [12], [50], [51]; detection of falls [39], [52]; or medication adherence [53]. Many of these systems can also combine a component to manage detected emergency situations (assisted healthcare).…”

Section: (Continued)mentioning

confidence: 99%

mHealth Technologies for Chronic Diseases and Elders: A Systematic Review

Chiarini

Ray

Akter

et al. 2013

IEEE J. Select. Areas Commun.

143

View full text Add to dashboard Cite

mHealth (healthcare using mobile wireless technologies) has the potential to improve healthcare and the quality of life for elderly and chronic patients. Many studies from all over the world have addressed this issue in view of the aging population in many countries. However, there has been a lack of any consolidated evidence-based study to classify mHealth from the dual perspectives of healthcare and technology. This paper reports the results of an evidence-based study of mHealth solutions for chronic care amongst the elderly population and proposes a taxonomy of a broad range of mHealth solutions from the perspective of technological complexity. A systematic literature review was conducted over 10 online databases and the findings were classified into four categories of predominant mHealth solutions, that is, self-healthcare, assisted healthcare, supervised healthcare and continuous monitoring. The findings of the study have major implications for information management and policy development in the context of the Millennium Development Goals (MDGs) related to healthcare in the world.

show abstract

“…The framework is effective, but it is optimised to be used in a particular domain and, thus, has limited applicability. Morón et al [8] propose a smart-phone-based tele-care system that uses Bluetooth-enabled body sensors for the monitoring and management of chronic diseases. The body sensor data is collected by a node coordinator (i.e., a smart phone) before forwarding it to the central server.…”

Section: Related Workmentioning

confidence: 99%

Design of a RESTful Middleware to Enable Web of Medical Things

Philip¹,

Chouvarda²,

Raptopoulos³

et al. 2014

Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare Thro

View full text Add to dashboard Cite

In this paper, we consider the design methodology of a mobile patient hub for the remote self-management of COPD patients. The patient hub design forms a part of the WELCOME system. WELCOME is a current EU project that aims to design and develop a new mobile health system to provide integrated care for COPD patients with comorbidities. The approach adopted for this research is based on the Web of Things architecture with RESTful principles as the enabler of communications. The proposed patient hub architecture design is based on three layers: an application layer, a middleware layer and the sensors layer. This paper presents the detail of the initial design of the middleware and an analysis of the architecture in the context of the system's requirements.

show abstract

Development and Evaluation of a Python Telecare System Based on a Bluetooth Body Area Network

Cited by 7 publications

References 16 publications

Monitoring Health Parameters of Elders to Support Independent Living and Improve Their Quality of Life

Monitoring Health Parameters of Elders to Support Independent Living and Improve Their Quality of Life

mHealth Technologies for Chronic Diseases and Elders: A Systematic Review

Design of a RESTful Middleware to Enable Web of Medical Things

Contact Info

Product

Resources

About