How wearable sensors can support Parkinson's disease diagnosis and treatment: a systematic review
Background: Parkinson's disease (PD) is a common and disabling pathology that is
characterized by both motor and non-motor symptoms and affects millions of people …
characterized by both motor and non-motor symptoms and affects millions of people …
Gait analysis methods: An overview of wearable and non-wearable systems, highlighting clinical applications
A Muro-De-La-Herran, B Garcia-Zapirain… - Sensors, 2014 - mdpi.com
This article presents a review of the methods used in recognition and analysis of the human
gait from three different approaches: image processing, floor sensors and sensors placed on …
gait from three different approaches: image processing, floor sensors and sensors placed on …
Toward pervasive gait analysis with wearable sensors: A systematic review
After decades of evolution, measuring instruments for quantitative gait analysis have
become an important clinical tool for assessing pathologies manifested by gait …
become an important clinical tool for assessing pathologies manifested by gait …
A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work
Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …
Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention
The proliferation of miniaturized electronics has fueled a shift toward wearable sensors and
feedback devices for the mass population. Quantified self and other similar movements …
feedback devices for the mass population. Quantified self and other similar movements …
Homecare robotic systems for healthcare 4.0: Visions and enabling technologies
Powered by the technologies that have originated from manufacturing, the fourth revolution
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution …
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution …
Sensor-based gait parameter extraction with deep convolutional neural networks
Measurement of stride-related, biomechanical parameters is the common rationale for
objective gait impairment scoring. State-of-the-art double-integration approaches to extract …
objective gait impairment scoring. State-of-the-art double-integration approaches to extract …
Inertial sensor-based robust gait analysis in non-hospital settings for neurological disorders
The gold standards for gait analysis are instrumented walkways and marker-based motion
capture systems, which require costly infrastructure and are only available in hospitals and …
capture systems, which require costly infrastructure and are only available in hospitals and …
Sensor fusion and smart sensor in sports and biomedical applications
JJA Mendes Jr, MEM Vieira, MB Pires, SL Stevan Jr - Sensors, 2016 - mdpi.com
The following work presents an overview of smart sensors and sensor fusion targeted at
biomedical applications and sports areas. In this work, the integration of these areas is …
biomedical applications and sports areas. In this work, the integration of these areas is …
Mobile stride length estimation with deep convolutional neural networks
Objective: Accurate estimation of spatial gait characteristics is critical to assess motor
impairments resulting from neurological or musculoskeletal disease. Currently, however …
impairments resulting from neurological or musculoskeletal disease. Currently, however …