Smart Rollator Prototype

An overview of the Smart Rollator prototype is presented in this paper. The Smart Rollator utilizes an ambulatory assistive device, namely a rollator, to provide a non-obtrusive monitoring system. With the aging population, the need for technologies that support independent living, and assist in maintaining the health and well-being of older adults is growing. The Smart Rollator prototype consists of a number of subsystems including: distance/speed monitoring, tri-axial acceleration monitoring, force monitoring, seat usage monitoring, and physiological monitoring. Data are transmitted wirelessly through a local data terminal to a remote server. Using remote data terminals various people can view and perform analyses on these data (e.g. rollator user, family members, health care professionals). The Smart Rollator is intended to improve the utility of conventional rollators by enabling remote monitoring capabilities that will support on-going care and rehabilitation, as well as potentially impact rollator design and prescription.

[1]  Y. Mendelson,et al.  Design of a reflective pulse oximeter sensor and its evaluation in swine , 1989, Proceedings of the Fifteenth Annual Northeast Bioengineering Conference.

[2]  Dina Brooks,et al.  The acute effects of a rollator in individuals with COPD. , 2006, Journal of cardiopulmonary rehabilitation.

[3]  C. Harper,et al.  Physiology and Complications of Bed Rest , 1988, Journal of the American Geriatrics Society.

[4]  Vladimir A. Kulyukin,et al.  A rollator-mounted wayfinding system for the elderly:: a smart world perspective , 2006, Assets '06.

[5]  Rory A Cooper,et al.  Intelligent walkers for the elderly: performance and safety testing of VA-PAMAID robotic walker. , 2003, Journal of rehabilitation research and development.

[6]  Thierry Troosters,et al.  Mechanisms of improvement in exercise capacity using a rollator in patients with COPD. , 2004, Chest.

[7]  M. Hirvensalo,et al.  Mobility Difficulties and Physical Activity as Predictors of Mortality and Loss of Independence in the Community‐Living Older Population , 2000, Journal of the American Geriatrics Society.

[8]  Steven Dubowsky,et al.  An Adaptive Shared Control System for an Intelligent Mobility Aid for the Elderly , 2003, Auton. Robots.

[9]  Sankua Chao,et al.  Sliding Window Autocorrelation for the Synchronous Unsupervised Segmentation of the Phonocardiogram , 2008 .

[10]  Jaques Reifman,et al.  Application of Information Technology: A Method for Automatic Identification of Reliable Heart Rates Calculated from ECG and PPG Waveforms , 2006, J. Am. Medical Informatics Assoc..

[11]  G. Stelmach,et al.  Changes in postural control with aging and Parkinson's disease. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[12]  Pradip Sheth,et al.  User intent in a shared control framework for pedestrian mobility aids , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).