AWS and IoT for real-time remote medical monitoring

Bouslama, Abdelilah; Laaziz, Yassin; Tali, Abdelhak; Eddabbah, Mohamed

doi:10.1504/ijie.2019.101137

Cited by 2 publications

(3 citation statements)

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“…The majority of studies related to CIoT were published in non-healthcare fields such as smart cities [100,101], transportation [102], traffic control [103], agriculture [43], smart environments [82], and smart homes [84]. In the healthcare field, the IoT and Cloud have been considered two separate technologies, and few studies have focused on their integration.…”

Section: Main Domains Of the Cloud-based Iot (Crq3)mentioning

confidence: 99%

“…AWS leases information technology infrastructure to patients and healthcare providers in flexible services; these services include computing services, storage (S3), content delivery, database, Ecommerce, payment, and other items that are highly applicable to smart healthcare solutions. Concerning the functional aspects and cost of Cloud computing services, AWS is the most appropriate option for realtime remote health monitoring applications [102]. The AWS platform as message broker supports the MQTT and LoRaWAN protocols, enabling the communication between devices and applications and providing end-to-end services [102].…”

Section: Cloud Platforms (Crq7)mentioning

confidence: 99%

“…Concerning the functional aspects and cost of Cloud computing services, AWS is the most appropriate option for realtime remote health monitoring applications [102]. The AWS platform as message broker supports the MQTT and LoRaWAN protocols, enabling the communication between devices and applications and providing end-to-end services [102].…”

Section: Cloud Platforms (Crq7)mentioning

confidence: 99%

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Cloud-Based Internet of Things in Healthcare Applications: A Systematic Literature Review

Gholamhosseini

Behmanesh

Nasiri

et al. 2023

Front Health Inform

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Introduction: The Internet of Things (IoT) and Cloud computing are two recent technological advances whose potential have not been realized in a range of industries. These technologies have been used in healthcare systems to improve their performance. In this regard, the IoT generates a large amount of data; also, cloud computing is a viable option for data storage and complex computing. The purpose of this study is to identify and categorize various aspects of CIoT-based healthcare in terms of main application domains, sensors, wireless communication technologies, messaging protocols, cloud platforms, and artificial intelligence (AI) algorithms.Material and Methods: We conducted a literature systematic review and reported according to the PRISMA guideline. PubMed, IEEE, Scopus, and Web of Science were searched using the related keywords and their synonyms. Two independent authors reviewed the papers' eligibility according to the defined inclusion and exclusion criteria.Results: Of the 2,118 papers retrieved, 61 were eventually selected in the study. Results of the present study revealed that the majority of CIoT research works were applied to patient monitoring systems and cardiovascular patient monitoring systems using Amazon and IBM dominating Cloud platforms. In addition, the most widely used communication technologies for CIoT in healthcare are cellular networks (3G and 4G), Wi-Fi, and Bluetooth. Cardiovascular, environmental, and position sensors are also the most common types of sensors used in healthcare CIoT applications. Among the Cloud platform providers, Amazon and IBM have the highest utility in healthcare systems. The majority of the included studies used Cloud-based AI algorithms to diagnose, classify, and predict diseases.Conclusion: The integration of the Cloud into the IoT can support healthcare systems in terms of processing power, storage capacity, security, privacy, performance, reliability, and scalability. We suggest researchers conduct experimental studies to evaluate the effectiveness of the CIoT approach in healthcare applications.

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Section: Main Domains Of the Cloud-based Iot (Crq3)mentioning

confidence: 99%

Section: Cloud Platforms (Crq7)mentioning

confidence: 99%

Section: Cloud Platforms (Crq7)mentioning

confidence: 99%

See 1 more Smart Citation

Cloud-Based Internet of Things in Healthcare Applications: A Systematic Literature Review

Gholamhosseini

Behmanesh

Nasiri

et al. 2023

Front Health Inform

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IoT Salvando Vidas: Uma Solução para Pessoas Idosas

Silva,

Brito,

Domingues

et al. 2024

Anais Estendidos Do XXXIX Simpósio Brasileiro De Banco De Dados (SBBD Estendido 2024)

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Este artigo apresenta o desenvolvimento e a implantação de um sistema de monitoramento projetado especificamente para idosos. Ele foca particularmente na detecção e alerta rápido aos cuidadores sobre quedas, que são um grande risco de saúde para idosos. A urgência dessa tecnologia surge do envelhecimento da população no Brasil. O sistema apresentado é construído na plataforma Amazon Web Services (AWS) com a placa ESP32, proporcionando uma base modular, escalável e altamente segura para armazenar e processar dados. Integrando a tecnologia da Internet das Coisas (IoT) com dispositivos vestíveis personalizados, e também integrado a uma aplicação móvel, o sistema identifica eventos danosos e envia automaticamente notificações aos contatos designados. Além disso, sua conexão com ferramentas de visualização de dados em tempo real, especificamente Amazon TimeStream e Grafana, oferece uma percepção detalhada sobre os dados coletados, cruciais para monitoramento e análise contínua após incidentes. Este sistema favorece a melhoria e no bem-estar para pessoas idosas, aumentando sua qualidade de vida, além de oferecer tranquilidade às suas famílias.

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AWS and IoT for real-time remote medical monitoring

Cited by 2 publications

References 0 publications

Cloud-Based Internet of Things in Healthcare Applications: A Systematic Literature Review

Cloud-Based Internet of Things in Healthcare Applications: A Systematic Literature Review

IoT Salvando Vidas: Uma Solução para Pessoas Idosas

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