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Michael R Narayanan

Showing results (1-10 of 16) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Pilot evaluation of an unobtrusive system to detect falls at nighttimeStephen J Redmond, Zhaonan Zhang, Michael R Narayanan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Classification between non-multiple fallers and multiple fallers using a triaxial accelerometry-based systemYing Liu, Stephen J Redmond, Michael R Narayanan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Design of an unobtrusive system for fall detection in multiple occupancy residencesArni Ariani, Stephen J Redmond, Zhaonan Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 1, 2010
Barometric pressure and triaxial accelerometry-based falls event detectionFederico Bianchi, Stephen J Redmond, Michael R Narayanan, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|February 1, 2006
Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoringDean M Karantonis, Michael R Narayanan, Merryn Mathie, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A low-power fall detection algorithm based on triaxial acceleration and barometric pressureChanghong Wang, Michael R Narayanan, Stephen R Lord, et al.
IEEE Transactions on Bio-Medical Engineering|May 10, 2011
Spectral analysis of accelerometry signals from a directed-routine for falls-risk estimationYing Liu, Stephen J Redmond, Ning Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Falls management: detection and prevention, using a waist-mounted triaxial accelerometerMichael R Narayanan, Steven R Lord, Marc M Budge, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Falls event detection using triaxial accelerometry and barometric pressure measurementFederico Bianchi, Stephen J Redmond, Michael R Narayanan, et al.
Physiological Measurement|November 1, 2012
Energy expenditure estimation during normal ambulation using triaxial accelerometry and barometric pressureJingjing Wang, Stephen J Redmond, Matteo Voleno, et al.
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Showing results (1-10 of 16) with videos related to

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Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Pilot evaluation of an unobtrusive system to detect falls at nighttimeStephen J Redmond, Zhaonan Zhang, Michael R Narayanan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Classification between non-multiple fallers and multiple fallers using a triaxial accelerometry-based systemYing Liu, Stephen J Redmond, Michael R Narayanan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Design of an unobtrusive system for fall detection in multiple occupancy residencesArni Ariani, Stephen J Redmond, Zhaonan Zhang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 1, 2010
Barometric pressure and triaxial accelerometry-based falls event detectionFederico Bianchi, Stephen J Redmond, Michael R Narayanan, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|February 1, 2006
Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoringDean M Karantonis, Michael R Narayanan, Merryn Mathie, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A low-power fall detection algorithm based on triaxial acceleration and barometric pressureChanghong Wang, Michael R Narayanan, Stephen R Lord, et al.
IEEE Transactions on Bio-Medical Engineering|May 10, 2011
Spectral analysis of accelerometry signals from a directed-routine for falls-risk estimationYing Liu, Stephen J Redmond, Ning Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Falls management: detection and prevention, using a waist-mounted triaxial accelerometerMichael R Narayanan, Steven R Lord, Marc M Budge, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Falls event detection using triaxial accelerometry and barometric pressure measurementFederico Bianchi, Stephen J Redmond, Michael R Narayanan, et al.
Physiological Measurement|November 1, 2012
Energy expenditure estimation during normal ambulation using triaxial accelerometry and barometric pressureJingjing Wang, Stephen J Redmond, Matteo Voleno, et al.
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