Feature Selection and Predictors of Falls with Foot Force Sensors Using KNN-Based Algorithms

Identification of Foot Pathologies Based on Plantar Pressure Asymmetry

(2015) Linah Wafai et al.   SENSORS

Can sit-to-stand lower limb muscle power predict fall status?

(2014) Yuan-Yang Cheng et al.   GAIT & POSTURE

Improved pseudo nearest neighbor classification

(2014) Jianping Gou et al.   KNOWLEDGE-BASED SYSTEMS

Detecting Falls with Wearable Sensors Using Machine Learning Techniques

(2014) Ahmet Özdemir et al.   SENSORS

Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis

(2014) Emma Barry et al.   BMC Geriatrics

Sample entropy characteristics of movement for four foot types based on plantar centre of pressure during stance phase

(2013) Zhanyong Mei et al.   Biomedical Engineering Online

Foot Plantar Pressure Measurement System: A Review

(2012) Abdul Hadi Abdul Razak et al.   SENSORS

Automatic individual calibration in fall detection – an integrative ambulatory measurement framework

(2011) Jian Liu et al.   COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING

Influence of noise on the sample entropy algorithm

(2009) Sofiane Ramdani et al.   CHAOS

Pseudo nearest neighbor rule for pattern classification

(2008) Yong Zeng et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of principal component analysis in vertical ground reaction force to discriminate normal and abnormal gait

(2008) A.M.S. Muniz et al.   GAIT & POSTURE

Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals

(2008) S.P. Moustakidis et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Relationships between ground reaction force parameters during a sit-to-stand movement and physical activity and falling risk of the elderly and a comparison of the movement characteristics between the young and the elderly

(2007) Takayoshi Yamada et al.   ARCHIVES OF GERONTOLOGY AND GERIATRICS