Internet of things for smart healthcare: Technologies, challenges, and opportunities
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 …
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
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 …
neurological conditions but also to monitor disease progression as it contributes to the …
Wearable sensor-based real-time gait detection: A systematic review
Gait analysis has traditionally been carried out in a laboratory environment using expensive
equipment, but, recently, reliable, affordable, and wearable sensors have enabled …
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
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 …
applications from navigation systems to guidance and robotics. Their use in clinical practice …
A review of gait phase detection algorithms for lower limb prostheses
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 …
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
This paper presents a wearable inertial sensor network and its associated activity
recognition algorithm for accurately recognizing human daily and sport activities. The …
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
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 …
practical, inexpensive, and overall screening diagnosis has yet to be made available …
Sensors for context-aware smart healthcare: A security perspective
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 …
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 …
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
The study of human movement and biomechanics forms an integral part of various clinical
assessments and provides valuable information toward diagnosing neurodegenerative …
assessments and provides valuable information toward diagnosing neurodegenerative …