Decline of Physical Activity in Terminally Ill Patients Could Be Useful for Predicting Short-Term Survival.
Yasui, Hiroki; Iwase, Satoru; Ariyoshi, Keisuke; Nojima, Masanori; Yoshiuchi, Kazuhiro.
Am J Hosp Palliat Care
; 35(5): 749-753, 2018 May.
Artigo em Inglês | MEDLINE | ID: mdl-29145731
Using Ontologies for the Online Recognition of Activities of Daily Living.
Daily step count and the need for hospital care in subsequent years in a community-based sample of older Australians.
Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity Data.
Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.
A Review of Physical Activity Monitoring and Activity Trackers for Older Adults.
Highly Portable, Sensor-Based System for Human Fall Monitoring.
An Activity Recognition Framework Deploying the Random Forest Classifier and A Single Optical Heart Rate Monitoring and Triaxial AccelerometerWrist-Band.
SisFall: A Fall and Movement Dataset.
Monitoring capabilities of the Omron HJ-720ITC pedometer.
Monitoring and reducing sedentary behavior in the elderly with the aid of human digital memories.