Vishal Rana, Jianhao Peng, Chao Pan, Hanbaek Lyu, Albert Cheng, Minji Kim, Olgica Milenkovic
Interpretable online network dictionary learning for inferring long-range chromatin interactions
PLoS computational biology
falls among elderly major societal problem observations mediumdistance walking using inertial sensors identified potential fall predictors classifying individuals risk based single gait cycles remains elusive challenge stems individual variability steptostep fluctuations making accurate classification difficult recruited 44 participants equally divided high low fallrisk groups smartphone secured second sacral spinous process recorded data indoor walking features extracted gait cycle 6dimensional time series triaxial angular velocity triaxial acceleration classified using gradient boosting decision tree algorithm mean accuracy across fivefold crossvalidation 0936 age influential individual feature features related acceleration gait direction held highest total relative importance aggregated axis 05365 combining acceleration angular velocity data gradient boosting decision tree algorithm enabled accurate fall risk classification elderly previously challenging due lack discernible features reveal firstever identification threedimensional pelvic motion characteristics single gait cycles highrisk group novel method requiring one gait cycle valuable individuals physical limitations hindering repetitive longdistance walking use spaces limited walking areas additionally utilizing readily available smartphones instead dedicated equipment potential improve gait analysis accessibility