Literature DB >> 11121764

Sensor systems for lower limb functional electrical stimulation (FES) control.

R Williamson1, B J Andrews.   

Abstract

Two sensor systems comprising clusters of accelerometers, magnetic sensors, a rate gyroscope, and a strain gauge were designed. For one system, the clusters were located at the belt and AFO. In the other system, the clusters were located at the AFO and the thigh. The maximum cluster size was 14 cm(3) and 75 g. The clusters of each sensor system were interconnected by a single flexible wire bus, which minimized the effects of cabling. The sensors detected five phases of normal gait to a resolution of 40 ms in an able bodied test. Using a threshold method, the sensor system repeatedly predicted an incipient knee buckle in a paraplegic individual by a minimum of 30 ms. One system detected knee flexion angle analytically to an accuracy of 3.2 degrees during sit to stand trials. The second system determined knee and hip flexion angle to an accuracy of 3.8 degrees during sit to stand trials through neural networks. The signal processing of the acquired sensor signals in each system was performed on a MC68332 microcomputer in conjunction with the data sampling, and suggested the possibility for each sensor system to be used in real time control of FES.

Mesh:

Year:  2000        PMID: 11121764     DOI: 10.1016/s1350-4533(00)00038-2

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  6 in total

1.  Measuring orientation of human body segments using miniature gyroscopes and accelerometers.

Authors:  H J Luinge; P H Veltink
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

2.  Online feedback control of functional electrical stimulation using dorsal root ganglia recordings.

Authors:  Matthew J Bauman; Tim M Bruns; Joost B Wagenaar; Robert A Gaunt; Douglas J Weber
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

3.  Command control for functional electrical stimulation hand grasp systems using miniature accelerometers and gyroscopes.

Authors:  K Y Tong; A F T Mak; W Y Ip
Journal:  Med Biol Eng Comput       Date:  2003-11       Impact factor: 2.602

4.  Real-time control of hind limb functional electrical stimulation using feedback from dorsal root ganglia recordings.

Authors:  Tim M Bruns; Joost B Wagenaar; Matthew J Bauman; Robert A Gaunt; Douglas J Weber
Journal:  J Neural Eng       Date:  2013-03-15       Impact factor: 5.379

5.  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 6.  Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis.

Authors:  Camille J Shanahan; Frederique M C Boonstra; L Eduardo Cofré Lizama; Myrte Strik; Bradford A Moffat; Fary Khan; Trevor J Kilpatrick; Anneke van der Walt; Mary P Galea; Scott C Kolbe
Journal:  Front Neurol       Date:  2018-02-02       Impact factor: 4.003

  6 in total

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