Literature DB >> 8798073

Application of tilt sensors in functional electrical stimulation.

R Dai1, R B Stein, B J Andrews, K B James, M Wieler.   

Abstract

Tilt sensors, or inclinometers have been investigated for the control of Functional Electrical Stimulation (FES) to improve the gait of persons who had a stroke or incomplete spinal cord injury (SCI). Different types of tilt sensors were studied for their characteristics and their performance in measuring the angular displacement of leg segments during gait. Signal patterns of the lower leg with inertial tilt sensors were identified with control subjects and subjects with footdrop who are being stimulated during level walking. To minimize acceleration responses when the foot swings or hits the ground, we use low-pass filtering (1.5-2 Hz). A finite state approach allows the sensor fixed on the shank to effectively detect the step intention in a population of stroke and incomplete SCI subjects and to control the FES. When the lower leg tilts backward, the common peroneal nerve is stimulated to bring the foot up and forward. We have designed a miniature footdrop stimulator with a magnetoresistive tilt sensor built in, so no external sensor cables are required. The thresholds to turn the stimulator on and off can be adjusted, as well as the maximum period of stimulation and the minimum interval between periods of stimulation. This device features several important advantages over traditional AFO's or stimulators controlled by foot switches. Initial trials with stroke and SCI subjects have demonstrated substantial gait improvement for some subjects, while most liked the good cosmesis and ease of using the device with a tilt sensor.

Entities:  

Mesh:

Year:  1996        PMID: 8798073     DOI: 10.1109/86.506403

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN: 1063-6528


  13 in total

1.  Support vector machine for classification of walking conditions using miniature kinematic sensors.

Authors:  Hong-Yin Lau; Kai-Yu Tong; Hailong Zhu
Journal:  Med Biol Eng Comput       Date:  2008-03-18       Impact factor: 2.602

2.  Quantification of postural stability in older adults using mobile technology.

Authors:  Sarah J Ozinga; Jay L Alberts
Journal:  Exp Brain Res       Date:  2014-08-24       Impact factor: 1.972

3.  Control of triceps surae stimulation based on shank orientation using a uniaxial gyroscope during gait.

Authors:  C C Monaghan; W J B M van Riel; P H Veltink
Journal:  Med Biol Eng Comput       Date:  2009-10-15       Impact factor: 2.602

4.  Motion analysis of sun salutation using magnetometer and accelerometer.

Authors:  Sn Omkar; Meenakshi Mour; Debarun Das
Journal:  Int J Yoga       Date:  2009-07

Review 5.  Technological advances in interventions to enhance poststroke gait.

Authors:  Lynne R Sheffler; John Chae
Journal:  Phys Med Rehabil Clin N Am       Date:  2013-05       Impact factor: 1.784

6.  Effects of a simple functional electric system and/or a hinged ankle-foot orthosis on walking in persons with incomplete spinal cord injury.

Authors:  C Maria Kim; Janice J Eng; Maura W Whittaker
Journal:  Arch Phys Med Rehabil       Date:  2004-10       Impact factor: 3.966

7.  Automatic identification of gait events using an instrumented sock.

Authors:  Stephen J Preece; Laurence P J Kenney; Matthew J Major; Tilak Dias; Edward Lay; Bosco T Fernandes
Journal:  J Neuroeng Rehabil       Date:  2011-05-27       Impact factor: 4.262

8.  Gait event detection on level ground and incline walking using a rate gyroscope.

Authors:  Paola Catalfamo; Salim Ghoussayni; David Ewins
Journal:  Sensors (Basel)       Date:  2010-06-04       Impact factor: 3.576

Review 9.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

10.  A Neural Network-Based Gait Phase Classification Method Using Sensors Equipped on Lower Limb Exoskeleton Robots.

Authors:  Jun-Young Jung; Wonho Heo; Hyundae Yang; Hyunsub Park
Journal:  Sensors (Basel)       Date:  2015-10-30       Impact factor: 3.576

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