Internet of things for smart healthcare: Technologies, challenges, and opportunities

SB Baker, W **ang, I Atkinson - Ieee Access, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) technology has attracted much attention in recent years for its
potential to alleviate the strain on healthcare systems caused by an aging population and a …

A survey on recent advances in wearable fall detection systems

A Ramachandran, A Karuppiah - BioMed research international, 2020 - Wiley Online Library
With advances in medicine and healthcare systems, the average life expectancy of human
beings has increased to more than 80 yrs. As a result, the demographic old‐age …

Towards an accelerometer-based elderly fall detection system using cross-disciplinary time series features

MJ Al Nahian, T Ghosh, MH Al Banna, MA Aseeri… - IEEE …, 2021 - ieeexplore.ieee.org
Fall causes trauma or critical injury among the geriatric population which is a second
leading accidental cause of post-injury mortality around the world. It is crucial to keep elderly …

Deep learning based systems developed for fall detection: a review

MM Islam, O Tayan, MR Islam, MS Islam… - IEEE …, 2020 - ieeexplore.ieee.org
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …

A study on the application of convolutional neural networks to fall detection evaluated with multiple public datasets

E Casilari, R Lora-Rivera, F García-Lagos - Sensors, 2020 - mdpi.com
Due to the repercussion of falls on both the health and self-sufficiency of older people and
on the financial sustainability of healthcare systems, the study of wearable fall detection …

A real‐time patient monitoring framework for fall detection

D Ajerla, S Mahfuz, F Zulkernine - … Communications and Mobile …, 2019 - Wiley Online Library
Fall detection is a major problem in the healthcare department. Elderly people are more
prone to fall than others. There are more than 50% of injury‐related hospitalizations in …

The methods of fall detection: A literature review

NT Newaz, E Hanada - Sensors, 2023 - mdpi.com
Fall Detection Systems (FDS) are automated systems designed to detect falls experienced
by older adults or individuals. Early or real-time detection of falls may reduce the risk of …

Innovative IoT solutions and wearable sensing systems for monitoring human biophysical parameters: A review

R De Fazio, M De Vittorio, P Visconti - Electronics, 2021 - mdpi.com
Digital and information technologies are heavily pervading several aspects of human
activities, improving our life quality. Health systems are undergoing a real technological …

A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques

SK Gharghan, HA Hashim - Measurement, 2024 - Elsevier
Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …

The growing role of Internet of Things in healthcare wearables

R Indrakumari, T Poongodi, P Suresh… - … Industry Growth with …, 2020 - Elsevier
The Internet has grown, which let human being to access and utilize the services on a
universal scale using traditional hosts, mobile devices such as smart phones across the …