Towards development of IoT-ML driven healthcare systems: A survey

NS Sworna, AKMM Islam, S Shatabda… - Journal of Network and …, 2021 - Elsevier
The impact of IoT-ML in the healthcare sector is very significant and it has helped us to
change our view at the traditional treatment methods. In IoT-ML-based healthcare …

Pathway of trends and technologies in fall detection: a systematic review

R Tanwar, N Nandal, M Zamani, AA Manaf - Healthcare, 2022 - mdpi.com
Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …

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 …

Detection and classification of early stages of Parkinson's disease through wearable sensors and machine learning

A Shcherbak, E Kovalenko… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurodegenerative disease which is among the most spread
and growing common neurodegenerative disorders. It significantly limits the physical and …

Fall detection system based on infrared array sensor and multi-dimensional feature fusion

Y Yang, H Yang, Z Liu, Y Yuan, X Guan - Measurement, 2022 - Elsevier
In recent years, with the acceleration of the aging of the population, the safety of the elderly
living alone has attracted great attention, and the falls have become one of the main factors …

IR-UWB sensor based fall detection method using CNN algorithm

T Han, W Kang, G Choi - Sensors, 2020 - mdpi.com
Falls are the leading cause of fatal injuries in the elderly such as fractures, and secondary
damage from falls can lead to death. As such, fall detection is a crucial topic. However, due …

[HTML][HTML] An analytical comparison of datasets of real-world and simulated falls intended for the evaluation of wearable fall alerting systems

E Casilari, CA Silva - Measurement, 2022 - Elsevier
Automatic Fall detection is one of the most promising applications of wearables in the field of
mobile health. The characterization of the effectiveness of wearable fall detectors is …

Deeply trained real-time body sensor networks for analyzing the symptoms of Parkinson's disease

R Soundararajan, AV Prabu, S Routray, PP Malla… - IEEE …, 2022 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a neural system disorder that disturbs the mental activities and
physical activities of human beings. Analyzing the symptoms and biosignal data of PD is …

A framework for the elderly first aid system by integrating vision-based fall detection and BIM-based indoor rescue routing

Y Chen, Y Zhang, B Xiao, H Li - Advanced Engineering Informatics, 2022 - Elsevier
The occurrence of falls among older adults may result in life-threatening injuries and
accidental deaths due to their vulnerability. As such, an advanced first aid system is …

Defining optimal exercises for efficient detection of Parkinson's disease using machine learning and wearable sensors

A Talitckii, A Anikina, E Kovalenko… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Our society exhibits a worldwide trait of a quickly growing cohort of patients with
neurodegenerative diseases, such as Parkinson's disease (PD). According to the analysts …