H-PC: a cloud computing tool for supervising hypertensive patients

Vilaplana, Jordi; Solsona, Francesc; Abella, Francesc; Cuadrado, Josep; Teixidó, Ivan; Mateo, Jordi; Rius, Josep

doi:10.1007/s11227-014-1312-9

Cited by 12 publications

(11 citation statements)

References 26 publications

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“…in achieving this monitoring capabilities [7,8]. In this context, we developed and present HBPF (Home Blood Pressure Framework).…”

Section: Information and Communication Technology (Ict) Can Play An Imentioning

confidence: 99%

“…An SLA is a contract negotiated and agreed between a customer and a service provider for which a customer only pays for the resources and services used according to negotiated performance requirements at a given price [8,11]. Throughput is one of the most important performance metric in a cloud-computing context [8,11]. It was also the performance parameter chosen in this work to fix the SLA.…”

Section: Information and Communication Technology (Ict) Can Play An Imentioning

confidence: 99%

“…This require the use of cloud computing services [12]. Earlier versions of the concept underlying 2 HBPF [8,11,13] were tested in a private cloud-based server, before moving the HM into a real-world cloud environment. These applications used SMS communications between clinicians and patients.…”

Section: Information and Communication Technology (Ict) Can Play An Imentioning

confidence: 99%

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HBPF: a Home Blood Pressure Framework with SLA guarantees to follow up hypertensive patients

Cuadrado¹,

Vilaplana

Mateo

et al. 2016

Preprint

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Hypertension or high blood pressure is a condition on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating it involves exhaustive monitoring of patients. A tool adapted to the particular requirements of hypertension can greatly facilitate monitoring and diagnosis. This paper presents HBPF, an efficient cloud-based Home Blood Pressure Framework. This allows hypertensive patients to communicate with their health-care centers, thus facilitating monitoring for both patients and clinicians. HBPF provides a complete, efficient, and cross-platform framework to follow up hypertensive patients with an SLA guarantee. Response time below one second for 80,000 requests and 28% increase in peak throughput going from one to 3 virtual machines were obtained. In addition, a mobile app (BP) for Android and iOS with a user-friendly interface is also provided to facilitate following up hypertensive patients. Among them, between 54% and 87% favorably evaluated the tool. BP can be downloaded for free from the website Hesoft Group repository (http://www.hesoftgroup.eu).

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“…in achieving this monitoring capabilities [7,8]. In this context, we developed and present HBPF (Home Blood Pressure Framework).…”

Section: Information and Communication Technology (Ict) Can Play An Imentioning

confidence: 99%

Section: Information and Communication Technology (Ict) Can Play An Imentioning

confidence: 99%

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HBPF: a Home Blood Pressure Framework with SLA guarantees to follow up hypertensive patients

Cuadrado¹,

Vilaplana

Mateo

et al. 2016

Preprint

Self Cite

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“…Information and Communication Technology (ICT) applied to HBP can play an important role [7,8]. However, the difficulty of ensuring satisfactory monitoring of blood pressure is still a great challenge [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…A preliminary web-based server, called SHUITE (Simple Health Universal and Integral Treatment Environment), that supported monitoring of hypertensive [8] and tobacco-quitting [21] patients by sending SMS messages was developed by our research group. The ability to perform bidirectional communication between patients and clinicians made the proposal innovative and a very useful tool for hypertension and tobacco-quitting patients.…”

Section: Introductionmentioning

confidence: 99%

BPcontrol

Carrera¹,

Pifarré²,

Vilaplana³

et al. 2016

Appl Clin Inform

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SummaryBackground: Hypertension or high blood pressure is on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating this condition involves exhaustive monitoring of patients. The current mobile health services can be improved to perform this task more effectively. Objective: To develop a useful, user-friendly, robust and efficient app, to monitor hypertensive patients and adapted to the particular requirements of hypertension. Methods: This work presents BPcontrol, an Android and iOS app that allows hypertensive patients to communicate with their health-care centers, thus facilitating monitoring and diagnosis. Usability, robustness and efficiency factors for BPcontrol were evaluated for different devices and operating systems (Android, iOS and system-aware). Furthermore, its features were compared with other similar apps in the literature. Results: BPcontrol is robust and user-friendly. The respective start-up efficiency of the Android and iOS versions of BPcontrol were 2.4 and 8.8 times faster than a system-aware app. Similar values were obtained for the communication efficiency (7.25 and 11.75 times faster for the Android and iOS respectively). When comparing plotting performance, BPcontrol was on average 2.25 times faster in the Android case. Most of the apps in the literature have no communication with a server, thus making it impossible to compare their performance with BPcontrol. Conclusions: Its optimal design and the good behavior of its facilities make BPcontrol a very promising mobile app for monitoring hypertensive patients.

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Deep learning-based ambient assisted living for self-management of cardiovascular conditions

Qureshi

Jeon

et al. 2021

Neural Comput & Applic

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According to the World Health Organization, cardiovascular diseases contribute to 17.7 million deaths per year and are rising with a growing ageing population. In order to handle these challenges, the evolved countries are now evolving workable solutions based on new communication technologies such as ambient assisted living. In these solutions, the most well-known solutions are wearable devices for patient monitoring, telemedicine and mHealth systems. This systematic literature review presents the detailed literature on ambient assisted living solutions and helps to understand how ambient assisted living helps and motivates patients with cardiovascular diseases for self-management to reduce associated morbidity and mortalities. Preferred reporting items for systematic reviews and meta-analyses technique are used to answer the research questions. The paper is divided into four main themes, including self-monitoring wearable systems, ambient assisted living in aged populations, clinician management systems and deep learning-based systems for cardiovascular diagnosis. For each theme, a detailed investigation shows (1) how these new technologies are nowadays integrated into diagnostic systems and (2) how new technologies like IoT sensors, cloud models, machine and deep learning strategies can be used to improve the medical services. This study helps to identify the strengths and weaknesses of novel ambient assisted living environments for medical applications. Besides, this review assists in reducing the dependence on caregivers and the healthcare systems.

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H-PC: a cloud computing tool for supervising hypertensive patients

Cited by 12 publications

References 26 publications

HBPF: a Home Blood Pressure Framework with SLA guarantees to follow up hypertensive patients

HBPF: a Home Blood Pressure Framework with SLA guarantees to follow up hypertensive patients

BPcontrol

Deep learning-based ambient assisted living for self-management of cardiovascular conditions

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