Application of smart sensors for internet of things healthcare environment DOI
Shafiq Ul Rehman,

Selvakumar Manickam

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 287 - 305

Published: Jan. 1, 2024

Language: Английский

Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review DOI Creative Commons

Irkham Irkham,

Abdullahi Umar Ibrahim, Chidi Wilson Nwekwo

et al.

Sensors, Journal Year: 2022, Volume and Issue: 23(1), P. 426 - 426

Published: Dec. 30, 2022

Despite the fact that COVID-19 is no longer a global pandemic due to development and integration of different technologies for diagnosis treatment disease, technological advancement in field molecular biology, electronics, computer science, artificial intelligence, Internet Things, nanotechnology, etc. has led approaches aided detection COVID-19. This study provides holistic approach on based (1) which includes RT-PCR, antigen–antibody, CRISPR-based biosensors (2) AI-driven models include deep learning transfer approach. The review also provide comparison between these two emerging open research issues smart-IoMT-enabled platforms

Language: Английский

Citations

20

Addressing Mild Cognitive Impairment and Boosting Wellness for the Elderly through Personalized Remote Monitoring DOI Open Access
Marilena Ianculescu,

Elena-Anca Paraschiv,

Adriana Alexandru

et al.

Healthcare, Journal Year: 2022, Volume and Issue: 10(7), P. 1214 - 1214

Published: June 29, 2022

Mild cognitive impairment (MCI) may occur with old age and is associated increased deterioration compared to what normal. This affect the person’s quality of life, health, independence. In this ageing worldwide context, early diagnosis personalized assistance for MCI therefore become crucial. paper makes two important contributions: (1) a system (RO-SmartAgeing) address MCI, which was developed Romania; (2) set criteria evaluating its impact on remote health monitoring. The aims provide customized non-invasive monitoring, assessment, elderly within smart environment up in their homes. Moreover, it includes multivariate AI-based predictive models that can detect onset development towards dementia. It built iteratively, following literature reviews consultations specialists, currently being tested simulated home environment. While main strength potential follow evolution, RO-SmartAgeing also supports people living independently, safe, comfortable, low cost, privacy protected. be used by healthcare institutions continuously monitor patient’s vital signs, position, activities, deliver reminders alarms.

Language: Английский

Citations

19

Health-Care Monitoring of Patient using CNN based Model in Internet of Things DOI

B D Parameshachari,

K.L Hemalatha,

Javad Rahebi

et al.

Published: June 16, 2023

There is rising public concern about exposure to radiofrequency (RF) electromagnetic fields (EMF) as more and wireless communications become concentrated in everyday living surroundings. are a number of obstacles, primarily originating from infrastructure expenses, but recent technology breakthroughs shifting attention Internet Things (IoT) devices that enable automatic continuous real-time EMF monitoring. The has made the world better place by expanding capabilities telemedicine allowing for precise remote monitoring patients. Improved healthcare facilities both patients doctors/hospitals only one way IoT making significant impact medical field. Five main parts make up proposed system: patient data gathering, primary report creation, hospital care, pharmacy diagnostics. This study presents an (IoT)-based scheme accomplished nursing energetic signs environmental factors discrete sensors, including heart-rate monitor, body temperature room carbon monoxide dioxide utilised collect setting. Medical personnel receive updates through portal use this further diagnosis care. success system demonstrates built prototype ideal investigated unique approaches construction convolutional neural network (CNN) topologies, it also developed new method diagnosis. results trials prove recommended algorithm achieves improved than state-of-the-art techniques.

Language: Английский

Citations

12

An IoT-fuzzy intelligent approach for holistic management of COVID-19 patients DOI Creative Commons

Muhammad Zia Ur Rahman,

Muhammad Azeem Akbar, Víctor Leiva

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 10(1), P. e22454 - e22454

Published: Nov. 20, 2023

In this study, an internet of things (IoT)-enabled fuzzy intelligent system is introduced for the remote monitoring, diagnosis, and prescription treatment patients with COVID-19. The main objective present study to develop integrated tool that combines IoT logic provide timely healthcare diagnosis within a smart framework. This tracks patients' health by utilizing Arduino microcontroller, small affordable computer reads data from various sensors, gather data. Once collected, are processed, analyzed, transmitted web page access via IoT-compatible Wi-Fi module. cases emergencies, such as abnormal blood pressure, cardiac issues, glucose levels, or temperature, immediate action can be taken monitor critical COVID-19 in isolation. employs recommend medical treatments patients. Sudden changes these conditions remotely reported through providers, relatives, friends. assists professionals making informed decisions based on patient's condition.

Language: Английский

Citations

12

Smart Homes of the Future DOI Creative Commons
Absalom E. Ezugwu, Olutosin Taiwo, Ojonukpe S. Egwuche

et al.

Transactions on Emerging Telecommunications Technologies, Journal Year: 2025, Volume and Issue: 36(1)

Published: Jan. 1, 2025

ABSTRACT The advent of the Internet Things (IoT) has transformed concept smart home automation, thereby allowing users to remotely interact with their houses and control appliances for resource efficiency. This technological development significantly improved convenience, safety, overall lifestyles homeowners. impact automation systems (SHAS) extends beyond individual households, positively influencing global economy in various aspects. While research proposed solutions wireless monitoring issues, there are still challenges hindering widespread deployment these systems. paper conducts a detailed systematic analysis state‐of‐the‐art SHAS, covering topics such as its application domains, architectural framework, enabling technologies, well involved. Furthermore, this provides reviews discussions on latest essential components, protocols employed designing developing SHAS. By offering an in‐depth examination current scenery, study aims provide readers comprehensive understanding significance, future directions. Through addressing presenting potential solutions, contributes adopting wider acceptance successful

Language: Английский

Citations

0

Case studies of big data applications for IoT DOI
Sheng Liu

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 265 - 311

Published: Jan. 1, 2025

Language: Английский

Citations

0

Cloud-based IoT platforms for digital transformation DOI

Yacine Atif,

Sujith Samuel Mathew

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 63 - 105

Published: Jan. 1, 2025

Language: Английский

Citations

0

IoT based Kit for Medication Monitoring DOI

C N Asha,

P Yashawini,

M P Pranathi

et al.

IRO Journal on Sustainable Wireless Systems, Journal Year: 2025, Volume and Issue: 6(4), P. 333 - 341

Published: Jan. 1, 2025

Medication non-adherence remains a significant challenge in healthcare, leading to suboptimal patient outcomes and increased medical expenditures. This study introduces an innovative Internet of Things (IoT)-based kit designed monitor medication adherence. The proposed employs various sensors ensure precise tracking supervision intake. Its seamless integration with cloud platform facilitates remote access, real-time data processing, storage. Through intuitive mobile application or web interface, users receive personalized notifications reminders assist them adhering their schedules. Furthermore, the offers historical tracking, enabling both healthcare professionals assess adherence trends over time. IoT-based monitoring provides connected intelligent approach optimizing management contemporary settings, thereby enhancing health improving care. It represents promising solution issue non-adherence.

Language: Английский

Citations

0

Smart approach for e-health monitoring system DOI

K. Vijaya Lakshmi,

K. Michael Angelo,

S. Lakshmi

et al.

AIP conference proceedings, Journal Year: 2025, Volume and Issue: 3162, P. 020086 - 020086

Published: Jan. 1, 2025

Language: Английский

Citations

0

Blockchain-Driven Security for Protected Health Information in Person-Centric Smart Healthcare: The BHKEM Framework with Ambient Assistive Technology DOI

N. Sundareswaran,

P. Nagaraj

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 93 - 109

Published: Jan. 1, 2025

Language: Английский

Citations

0