Tripolar-cuff deviation from ideal model: Assessment by bioelectric field simulations and saline-bath experiments

Medical Engineering and Physics

Volumn 30, Issue 5, 2008, Pages 550-562

  Triantis, Iasonas F ^a   Demosthenous, Andreas ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Cuff electrodes; Cuff imbalance; EMG; ENG; Nerve cuff; Quasi tripole; Screened tripole; Signal to interference ratio (SIR); Tripolar cuff; True tripole

Indexed keywords

BIOELECTRIC PHENOMENA; MATHEMATICAL MODELS; MEASUREMENT THEORY; NEUROLOGY; SALINE WATER; TISSUE CULTURE;

CUFF ELECTRODES; CUFF IMBALANCE; ELECTROMYOGRAM (EMG); ELECTRONEUROGRAM (ENG); NERVE CUFFS; QUASI TRIPOLES; SCREENED TRIPOLES; SIGNAL-TO-INTERFERENCE RATIO (SIR); TRIPOLAR CUFFS; TRUE TRIPOLES;

BIOMEDICAL ENGINEERING;

SODIUM CHLORIDE;

AMPLIFIER; ARTICLE; BIOENERGY; CUFF; ELECTROMYOGRAM; PRIORITY JOURNAL; RECORDING; SIMULATION; TISSUE GROWTH;

ARTIFACTS; COMPUTER SIMULATION; ELECTRODES; HUMANS; MUSCLES; MYOGRAPHY; NEURONS; ROTATION; SODIUM CHLORIDE;

EID: 44349191654     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.medengphy.2007.06.002     Document Type: Article

References (36)

1. Sinkjaer T., Haugland M.K., Inmann A., Hansen M., and Nielsen K.D. Biopotentials as command and feedback signals in functional electrical stimulation systems. Med Eng Phys 25 1 (2003) 29-40
2. Popovic D.B., Stein R.B., Jonanovic K.L., Rongching D., Kostov A., and Armstrong W.W. Sensory nerve recording for closed-loop control to restore motor functions. IEEE Trans Biomed Eng 40 10 (1993) 1024-1031
3. Andreasen L.N.S., and Struijk J.J. Skin contact forces extracted from human nerve signals-a possible feedback signal for FES-aided control of standing. IEEE Trans Biomed Eng 50 12 (2003) 1320-1325
4. Struijk J.J., and Thomsen M. Tripolar nerve cuff recording: stimulus artifact, EMG, and the recorded nerve signal. Proceedings of the 17th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (1995) 1105-1106
5. Nikolic Z.M., Popovic B.D., Stein B.R., and Kenwell Z. Instrumentation for ENG and EMG recordings in FES systems. IEEE Trans Biomed Eng 41 7 (1994) 703-706
6. Pflaum C., Riso R.R., and Wiesspeiner G. Performance of alternative amplifier configurations for tripolar nerve cuff recorded ENG. Proceedings of the 18th Annual International Conference of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (1996) 375-376
7. Stein R.B., Charles D., Davis L., Jhamanda J., Mannard A., and Nichols T.R. Principles underlying new methods for chronic neural recording. Le Journal Canadien des Sciences Neurologiques 2 (1975) 235-244
8. Demosthenous A., and Triantis I.F. An adaptive ENG amplifier for tripolar cuff electrodes. IEEE J Solid-State Circ 40 2 (2005) 412-421
9. Rahal M.S., Winter J., Taylor J., and Donaldson N. An improved configuration for the reduction of EMG in electrode cuff recordings: a theoretical approach. IEEE Trans Biomed Eng 47 9 (2000) 1281-1284
10. Struijk J.J., Thomsen M., Larsen J.O., and Sinkjaer T. Cuff electrodes for long-term recording of natural sensory information. IEEE Eng Med Biol Mag 18 3 (1999) 91-98
11. Haugland M., Lickel A., Haase J., and Sinkjaer T. Control of FES thump force using slip information obtained from the cutaneous electroneurogram in quadriplegic man. IEEE Trans Rehab Eng 7 2 (1999) 215-227
12. Inmann A., and Haugland M. Implementation of natural sensory feedback in a portable control system for a hand grasp neuroprosthesis. Med Eng Phys 26 6 (2004) 449-458
13. Hansen M., Haugland M., Sinkjaer T., and Donaldson N. Real time foot drop correction using machine learning and natural sensors. Neuromodulation 5 1 (2002) 41-53
14. Rodriguez F.J., Ceballos D., Schuttler M., Valero A., Valderrama E., Stieglitz T., and Navarro X. Polyimide cuff electrodes for peripheral nerve stimulation. J Neurosci Methods 98 2 (2000) 105-118
15. Stein R.B., and Pearson K.G. Predicted amplitude and form of action potentials recorded from unmyelinated nerve fibres. J Theor Biol 32 3 (1971) 539-558
16. Triantis IF. An adaptive amplifier for cuff imbalance correction and interference reduction in nerve signal recording. PhD Dissertation. London: Dept. Electronic and Electrical Engineering, University College London; 2005.
17. Rahal M.S., Taylor J., and Donaldson N. The effect of nerve cuff geometry on interference reduction: a study by computer modelling. IEEE Trans Biomed Eng 47 1 (2000) 136-138
18. Triantis I.F., Demosthenous A., and Donaldson N. An ENG amplifier for EMG cancellation and cuff imbalance removal. Proceedings of EPSRC PREP'03 (2003) 105-106
19. Sinkjaer T., Haugland M.K., and Haase J. Natural neural sensing and artificial muscle control in man. Exp Brain Res 98 3 (1994) 542-545
20. Andreasen L.N.S., Struijk J.J., and Lawrence S. Measurement of the performance of nerve cuff electrodes for recording. Med Biol Eng Comput 38 4 (2000) 447-453
21. Haugland K.M., and Hoffer A.J. Artifact-free sensory nerve signals obtained from Cuff electrodes during functional electrical stimulation of nearby muscles. IEEE Trans Rehab Eng 2 1 (1994) 37-40
22. Upshaw B., and Sinkjaer T. Digital signal processing algorithms for the detection of afferent nerve activity recorded from cuff electrodes. IEEE Trans Rehab Eng 6 2 (1998) 172-181
23. Andreasen L.N.S., and Struijk J.J. Artefact reduction with alternative cuff configurations. IEEE Trans Biomed Eng 50 10 (2003) 1160-1166
24. Triantis I.F., Demosthenous A., and Donaldson N. On cuff imbalance and tripolar ENG amplifier configurations. IEEE Trans Biomed Eng 52 2 (2005) 314-320
25. Triantis I.F., and Demosthenous A. The effect of interference source proximity on cuff imbalance. IEEE Trans Biomed Eng 53 2 (2006) 354-357
26. Rahal MS. Optimisation of nerve cuff electrode recordings for functional electrical stimulation applications. PhD dissertation. London, UK: Dept. Electronic and Electrical Eng.; 2000.
27. Struijk J.J. The extracellular potential of a myelinated nerve fiber in an unbounded medium and in nerve cuff models. Biophys J 72 (1997) 2457-2469
28. Andreasen L.N.S., and Struijk J.J.S. Signal strength versus cuff length in nerve cuff electrode recordings. IEEE Trans Biomed Eng 49 9 (2002) 1045-1050
29. Malmivuo J., and Plonsey R. Bioelectromagnetism: principles and applications of bioelectric and biomagnetic fields; (1995), Oxford University Press, New York, USA
30. Gootzen T.H.J.M., Stegeman D.F., and Heringa A. On numerical problems in analytical calculations of extracellular fields in bounded cylindrical volume conductors. J App. Phys 66 (1989) 4504-4508
31. Schnabel V., and Struijk J.J. Evaluation of the cable model for electrical stimulation of unmyelinated nerve fibers. IEEE Trans Biomed Eng 48 9 (2001) 1027-1033
32. Schnabel V., and Struijk J.J. Calculation of electric fields in a multiple cylindrical volume conductor induced by magnetic coils. IEEE Trans Biomed Eng 48 1 (2001) 78-86
33. Anctil B., and Slawnych M.P. An efficient method for modelling EMG potentials as recorded using surface electrodes. Proceedings of the 20th Annual International Conference of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (1998) 2613-2615
34. Schimpf P.H., Ramon C., and Haueisen J. Dipole models for the EEG and MEG. IEEE Trans Biomed Eng 49 5 (2002) 409-418
35. Andreasen L., Struijk J., and Haugland M. An artificial nerve fiber for evaluation of nerve cuff electrodes. Proceedings of the 19th Annual International Conference of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (1997) 1997-1999
36. Triantis I.F., Donaldson N., and Demosthenous A. Saline-bath testing of a system for removing artefact from ENG signals. Proceedings of FESnet (2002). http://fesnet.eng.gla.ac.uk/conference/prog.html (http://fesnet.eng.gla.ac.uk/conference/prog.html)