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AppA: assistive patient monitoring cloud platform for active healthcare applications

Published: 08 January 2015 Publication History

Abstract

Continuous, remote monitoring of patients using wearable sensors can facilitate early detection of many conditions and can help to manage the growing healthcare crisis worldwide. A remote patient monitoring application consists of many emerging services such as wireless wearable sensor configuration, patient registration and authentication, collaborative consultation of doctors, storage and maintenance of electronic health record. The provision of these services requires the development and maintenance of a remote healthcare monitoring application (HMA) that includes a body area wireless sensor network (BASWN) and Health Applications (HA) to detect specific health issues. In addition, the deployment of HMAs for different hospitals is not easily scalable owing to the heterogeneous nature of hardware and software involved. Cloud computing overcomes this aspect by allowing simple and easy maintenance of ICT infrastructure. In this work, we report a real-time-like cloud based architecture known as Assistive Patient monitoring cloud Platform for Active healthcare applications (AppA) using a delegate pattern. The built AppA is highly scalable and capable of spawning new instances based on the monitoring requirements from the health care providers, and is aligned with scalable economic models.

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  • (2024)How Lived Experience Mediated My Gold, Ribbons, Puzzles and Morals Research Motivations: A Reflective IntrospectionResearch Partners with Lived Experience10.1007/978-981-97-0033-2_15(183-191)Online publication date: 28-Mar-2024
  • (2022)Remote Patient Monitoring for HealthcareResearch Anthology on Big Data Analytics, Architectures, and Applications10.4018/978-1-6684-3662-2.ch050(1054-1070)Online publication date: 2022
  • (2019)Remote Patient Monitoring for HealthcareManagerial Perspectives on Intelligent Big Data Analytics10.4018/978-1-5225-7277-0.ch009(163-179)Online publication date: 2019
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    cover image ACM Conferences
    IMCOM '15: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication
    January 2015
    674 pages
    ISBN:9781450333771
    DOI:10.1145/2701126
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 08 January 2015

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    Author Tags

    1. BAWSN
    2. cloud based computing
    3. early detection
    4. health condition

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    View all
    • (2024)How Lived Experience Mediated My Gold, Ribbons, Puzzles and Morals Research Motivations: A Reflective IntrospectionResearch Partners with Lived Experience10.1007/978-981-97-0033-2_15(183-191)Online publication date: 28-Mar-2024
    • (2022)Remote Patient Monitoring for HealthcareResearch Anthology on Big Data Analytics, Architectures, and Applications10.4018/978-1-6684-3662-2.ch050(1054-1070)Online publication date: 2022
    • (2019)Remote Patient Monitoring for HealthcareManagerial Perspectives on Intelligent Big Data Analytics10.4018/978-1-5225-7277-0.ch009(163-179)Online publication date: 2019
    • (2019)Technological Ecosystems in Care and Assistance: A Systematic Literature ReviewSensors10.3390/s1903070819:3(708)Online publication date: 9-Feb-2019

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