Edge-AI in LoRa-based health monitoring: Fall detection system with fog computing and LSTM recurrent neural networks

JP Queralta, TN Gia, H Tenhunen… - … and signal processing …, 2019 - ieeexplore.ieee.org
Remote healthcare monitoring has exponentially grown over the past decade together with
the increasing penetration of Internet of Things (IoT) platforms. IoT-based health systems …

Highly-efficient fog-based deep learning AAL fall detection system

D Sarabia-Jácome, R Usach, CE Palau, M Esteve - Internet of Things, 2020 - Elsevier
Falls is one of most concerning accidents in aged population due to its high frequency and
serious repercussion; thus, quick assistance is critical to avoid serious health …

A survey on LoRa for IoT: Integrating edge computing

VK Sarker, JP Queralta, TN Gia… - … Conference on Fog …, 2019 - ieeexplore.ieee.org
Increased automation and intelligence in computer systems have revealed limitations of
Cloud-based computing such as unpredicted latency in safety-critical and performance …

Lorachaincare: An iot architecture integrating blockchain and lora network for personal health care data monitoring

B Dammak, M Turki, S Cheikhrouhou, M Baklouti… - Sensors, 2022 - mdpi.com
Over the past several years, the adoption of HealthCare Monitoring Systems (HCS) in health
centers and organizations like hospitals or eldery homes growth significantly. The adoption …

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 …

Powering the IoT through embedded machine learning and LoRa

VM Suresh, R Sidhu, P Karkare, A Patil… - 2018 IEEE 4th World …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) technology is rapidly changing the way we live and the number
of connected devices are increasing at an exponential pace. However, two key challenges …

An overview of AI-enabled remote smart-home monitoring system using LoRa

M Shahjalal, MK Hasan, MM Islam… - … in Information and …, 2020 - ieeexplore.ieee.org
With the advancement of communication technology, Internet of Things (IoT) enabled smart
home (SH) applications have engrossed substantial attention nowadays. However, a few …

Distributed analytics and edge intelligence: Pervasive health monitoring at the era of fog computing

Y Cao, P Hou, D Brown, J Wang, S Chen - Proceedings of the 2015 …, 2015 - dl.acm.org
Biomedical research and clinical practice are entering a data-driven era. One of the major
applications of biomedical big data research is to utilize inexpensive and unobtrusive mobile …

[HTML][HTML] Fall detection in older adults with mobile IoT devices and machine learning in the cloud and on the edge

D Mrozek, A Koczur, B Małysiak-Mrozek - Information Sciences, 2020 - Elsevier
Remote monitoring of older adults and detecting dangers in the state of human health have
become essential elements of modern telemedicine. Falls are a frequent reason for deaths …

Edge AI in smart farming IoT: CNNs at the edge and fog computing with LoRa

TN Gia, L Qingqing, JP Queralta, Z Zou… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
The agricultural and farming industries have been widely influenced by the disruption of the
Internet of Things. The impact of the IoT is more limited in countries with less penetration of …