Insole-based systems for health monitoring: Current solutions and research challenges
Wearable health monitoring devices allow for measuring physiological parameters without
restricting individuals' daily activities, providing information that is reflective of an individual's …
restricting individuals' daily activities, providing information that is reflective of an individual's …
Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
Biomechanical ToolKit: Open-source framework to visualize and process biomechanical data
A Barre, S Armand - Computer methods and programs in biomedicine, 2014 - Elsevier
C3D file format is widely used in the biomechanical field by companies and laboratories to
store motion capture systems data. However, few software packages can visualize and …
store motion capture systems data. However, few software packages can visualize and …
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 …
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 …
Gait and balance in the aging population: Fall prevention using innovation and technology
K Khanuja, J Joki, G Bachmann, S Cuccurullo - Maturitas, 2018 - Elsevier
On a global basis, adults 65 years of age and older experience falls more frequently than
younger individuals, and these often result in severe injuries as well as increased …
younger individuals, and these often result in severe injuries as well as increased …
Novel algorithm for a smartphone-based 6-minute walk test application: algorithm, application development, and evaluation
NA Capela, ED Lemaire, N Baddour - Journal of neuroengineering and …, 2015 - Springer
Background The 6-minute walk test (6MWT: the maximum distance walked in 6 minutes) is
used by rehabilitation professionals as a measure of exercise capacity. Today's …
used by rehabilitation professionals as a measure of exercise capacity. Today's …
Neural correlates of single-and dual-task walking in the real world
Recent developments in mobile brain-body imaging (MoBI) technologies have enabled
studies of human locomotion where subjects are able to move freely in more ecologically …
studies of human locomotion where subjects are able to move freely in more ecologically …
Accelerometer-based fall-portent detection algorithm for construction tiling operation
YC Fang, RJ Dzeng - Automation in construction, 2017 - Elsevier
Fall accidents are a major safety issue and a perennial problem in the construction industry.
However, few studies have focused on detecting fall portents, identification of which may …
However, few studies have focused on detecting fall portents, identification of which may …
A feasibility study of using smartphone built-in accelerometers to detect fall portents
RJ Dzeng, YC Fang, IC Chen - Automation in Construction, 2014 - Elsevier
Fall accidents contribute to nearly half of all fatalities in the construction industry in Taiwan.
Detecting fall portents using a smartphone, which many people carry daily, may help reduce …
Detecting fall portents using a smartphone, which many people carry daily, may help reduce …