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 …

Gait analysis in neurological populations: Progression in the use of wearables

Y Celik, S Stuart, WL Woo, A Godfrey - Medical Engineering & Physics, 2021 - Elsevier
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

Wearable sensor-based real-time gait detection: A systematic review

H Prasanth, M Caban, U Keller, G Courtine, A Ijspeert… - Sensors, 2021 - mdpi.com
Gait analysis has traditionally been carried out in a laboratory environment using expensive
equipment, but, recently, reliable, affordable, and wearable sensors have enabled …

IMU-based classification of Parkinson's disease from gait: A sensitivity analysis on sensor location and feature selection

C Caramia, D Torricelli, M Schmid… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Inertial measurement units (IMUs) have a long-lasting popularity in a variety of industrial
applications from navigation systems to guidance and robotics. Their use in clinical practice …

A review of gait phase detection algorithms for lower limb prostheses

HTT Vu, D Dong, HL Cao, T Verstraten, D Lefeber… - Sensors, 2020 - mdpi.com
Fast and accurate gait phase detection is essential to achieve effective powered lower-limb
prostheses and exoskeletons. As the versatility but also the complexity of these robotic …

Human daily and sport activity recognition using a wearable inertial sensor network

YL Hsu, SC Yang, HC Chang, HC Lai - IEEE Access, 2018 - ieeexplore.ieee.org
This paper presents a wearable inertial sensor network and its associated activity
recognition algorithm for accurately recognizing human daily and sport activities. The …

Deep multi-layer perceptron classifier for behavior analysis to estimate Parkinson's disease severity using smartphones

S Wan, Y Liang, Y Zhang, M Guizani - IEEE Access, 2018 - ieeexplore.ieee.org
Although the preclinical detection of Parkinson's disease (PD) has been explored, a
practical, inexpensive, and overall screening diagnosis has yet to be made available …

Sensors for context-aware smart healthcare: A security perspective

E Batista, MA Moncusi, P López-Aguilar… - Sensors, 2021 - mdpi.com
The advances in the miniaturisation of electronic devices and the deployment of cheaper
and faster data networks have propelled environments augmented with contextual and real …

Role of wearable sensors with machine learning approaches in gait analysis for Parkinson's disease assessment: a review

A Balakrishnan, J Medikonda… - Engineered …, 2022 - espublisher.com
Gait analysis, a way of assessing the manner of walking, is considered a significant criterion
in diagnosing movement disorders. Various factors contribute to the alterations in gait …

Recent trends and practices toward assessment and rehabilitation of neurodegenerative disorders: Insights from human gait

R Das, S Paul, GK Mourya, N Kumar… - Frontiers in …, 2022 - frontiersin.org
The study of human movement and biomechanics forms an integral part of various clinical
assessments and provides valuable information toward diagnosing neurodegenerative …