Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities
Traditional laboratory experiments, rehabilitation clinics, and wearable sensors offer
biomechanists a wealth of data on healthy and pathological movement. To harness the …
biomechanists a wealth of data on healthy and pathological movement. To harness the …
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
Wearable movement sensors for rehabilitation: a focused review of technological and clinical advances
Recent technologic advancements have enabled the creation of portable, low-cost, and
unobtrusive sensors with tremendous potential to alter the clinical practice of rehabilitation …
unobtrusive sensors with tremendous potential to alter the clinical practice of rehabilitation …
Resolving the limb position effect in myoelectric pattern recognition
Reported studies on pattern recognition of electromyograms (EMG) for the control of
prosthetic devices traditionally focus on classification accuracy of signals recorded in a …
prosthetic devices traditionally focus on classification accuracy of signals recorded in a …
[HTML][HTML] Fall prediction and prevention systems: recent trends, challenges, and future research directions
Fall prediction is a multifaceted problem that involves complex interactions between
physiological, behavioral, and environmental factors. Existing fall detection and prediction …
physiological, behavioral, and environmental factors. Existing fall detection and prediction …
The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors
BH Dobkin, A Dorsch - Neurorehabilitation and neural repair, 2011 - journals.sagepub.com
Mobile health tools that enable clinicians and researchers to monitor the type, quantity, and
quality of everyday activities of patients and trial participants have long been needed to …
quality of everyday activities of patients and trial participants have long been needed to …
[HTML][HTML] Application of data fusion techniques and technologies for wearable health monitoring
RC King, E Villeneuve, RJ White, RS Sherratt… - Medical engineering & …, 2017 - Elsevier
Technological advances in sensors and communications have enabled discrete integration
into everyday objects, both in the home and about the person. Information gathered by …
into everyday objects, both in the home and about the person. Information gathered by …
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment
Gait abnormalities are typically derived from neurological conditions or orthopaedic
problems and can cause severe consequences such as limited mobility and falls. Gait …
problems and can cause severe consequences such as limited mobility and falls. Gait …
[HTML][HTML] Evaluation of feature extraction and recognition for activity monitoring and fall detection based on wearable sEMG sensors
X Xi, M Tang, SM Miran, Z Luo - Sensors, 2017 - mdpi.com
As an essential subfield of context awareness, activity awareness, especially daily activity
monitoring and fall detection, plays a significant role for elderly or frail people who need …
monitoring and fall detection, plays a significant role for elderly or frail people who need …
A framework for daily activity monitoring and fall detection based on surface electromyography and accelerometer signals
As an essential branch of context awareness, activity awareness, especially daily activity
monitoring and fall detection, is important to healthcare for the elderly and patients with …
monitoring and fall detection, is important to healthcare for the elderly and patients with …