mHealth System for the Early Detection of Infectious Diseases Using Biomedical Signals

Sanz-Moreno, José; Pulido, José Manuel Gómez; Garcés, Alberto Enrique Nava; Calderón-Gómez, Huriviades; Vargas-Lombardo, Miguel; Sequera, José Luis Castillo; Luque, María Luz Polo; Toro, Rafael; Sención-Martínez, Gloria

doi:10.1007/978-3-030-40309-6_20

Cited by 2 publications

(10 citation statements)

References 16 publications

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“…A very important problem affecting this group of people is the frequent use of emergency services or prolonged hospital stays, caused mostly by infections [5] and especially respiratory and urinary infections [6 -8]. This is due to the characteristics of the patients; however, these patients tend to go to the emergency room at relatively advanced stages of disease [9].…”

Section: Introductionmentioning

confidence: 99%

“…In the case of at-risk long-term patients, both medical and nursing care are generally available, but infectious diseases are often diagnosed at later stages, when hospitalisation is required. If the vital signs of these at-risk patients are regularly monitored, it is possible to carry out preventive treatments or interventions in order to minimise health problems and decrease emergency assistance [5]. For patients living in environments without easy access to health resources, telemonitoring is a low-cost, effective way of offering preventive treatments for these diseases [12].…”

Section: Introductionmentioning

confidence: 99%

“…Special emphasis was placed on the design, development and implementation of the services that make up the SPIDEP platform using the architectural pattern of microservices [5], [14].…”

Section: Introductionmentioning

confidence: 99%

“…It should be noted that this study aims to contribute to increasing knowledge in the pre-diagnosis of infectious diseases and offer an alternative vision of telemonitoring of elderly people, with the support of ICTs, by the medical team [5], [6], [9]. This present work aims to incorporate and improve the results obtained from the previous studies that have achieve several significant advances for the medical and health care team, which are: the process of taking measurements is very fast, managing to collect and send the measurement data in less than 2 minutes.…”

Section: Introductionmentioning

confidence: 99%

“…These features are essential for the wellness of the resident, who perceives the personal care without discomfort [9] and also the quality of health care grows as well as the satisfaction of residents, relatives and nursing personnel [6]. Another important advantage of the speed of the measurement process is that it increases the productivity of the nursing staff, increasing the residents/elderly assistant ratio [5]. In addition, this benefits the patient directly, since pre-diagnosis through a Clinical Decision Support System (CDSS), supported by telemonitoring, allows the detection of the infection in an initial state and can anticipate the timely administration of corresponding medical treatment, thus avoiding the aggressive spread of the infection afflicting the patient [6], [14].…”

Section: Introductionmentioning

confidence: 99%

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Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

et al. 2020

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This article describes the design, development and implementation of a set of microservices based on an architecture that enables detection and assisted clinical diagnosis within the field of infectious diseases of elderly patients, via a telemonitoring system. The proposed system is designed to continuously update a medical database fed with vital signs from biosensor kits applied by nurses to elderly people on a daily basis. The database is hosted in the cloud and is managed by a flexible microservices software architecture. The computational paradigms of the edge and the cloud were used in the implementation of a hybrid cloud architecture in order to support versatile high-performance applications under the microservices pattern for the pre-diagnosis of infectious diseases in elderly patients. The results of an analysis of the usability of the equipment, the performance of the architecture and the service concept show that the proposed e-health system is feasible and innovative. The system components are also selected to give a cost-effective implementation for people living in disadvantaged areas. The proposed e-health system is also suitable for distributed computing, big data and NoSQL structures, thus allowing the immediate application of machine learning and AI algorithms to discover knowledge patterns from the overall population.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Special emphasis was placed on the design, development and implementation of the services that make up the SPIDEP platform using the architectural pattern of microservices [5], [14].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

et al. 2020

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Evaluating Service-Oriented and Microservice Architecture Patterns to Deploy eHealth Applications in Cloud Computing Environment

et al. 2021

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This article proposes a new framework for a Cloud-based eHealth platform concept focused on Cloud computing environments, since current and emerging approaches using digital clinical history increasingly demonstrate their potential in maintaining the quality of the benefits in medical care services, especially in computer-assisted clinical diagnosis within the field of infectious diseases and due to the worsening of chronic pathologies. Our objective is to evaluate and contrast the performance of the architectural patterns most commonly used for developing eHealth applications (i.e., service-oriented architecture (SOA) and microservices architecture (MSA)), using as reference the quantitative values obtained from the various performance tests and their ability to adapt to the required software attribute (i.e., versatile high-performance). Therefore, it was necessary to modify our platform to fit two architectural variants. As a follow-up to this activity, corresponding tests were performed that showed that the MSA variant functions better in terms of performance and response time compared to the SOA variant; however, it consumed significantly more bandwidth than SOA, and scalability in SOA is generally not possible or requires significant effort to be achieved. We conclude that the implementation of SOA and MSA depends on the nature and needs of organizations (e.g., performance or interoperability).

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mHealth System for the Early Detection of Infectious Diseases Using Biomedical Signals

Cited by 2 publications

References 16 publications

Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

Telemonitoring System for Infectious Disease Prediction in Elderly People Based on a Novel Microservice Architecture

Evaluating Service-Oriented and Microservice Architecture Patterns to Deploy eHealth Applications in Cloud Computing Environment

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