Ambulatory Device for Surface Emg Recordings

Abstract

The principles of electromyographic (EMG) analysis can be divided into the following groups: signal or motor unit shape analysis, amplitude analysis, multi-channel or successive time difference analysis, signal frequency composition analysis, change of frequency time based analysis based on simultaneous amplitude or frequency based analysis or concentric and excentric work based shape and amplitude ratio analysis. The aim of this paper is to present an ambulatory portable device for surface EMG analysing both for integrated EMG and for spectral analysis. The reliability of surface EMG recordings have established. The recent new technology gets a possibility to measure by reliable way surface EMG on-line during exercise, rehabilitation or occupational conditions. Portable EMG measurement unit and analysing program seems to be suitable for documentation of the response of rehabilitation programs, effects of physiotherapy, analysing the muscle balance and activity of sportsman and for documentation of occupational health problems. Automatic interpretation and wide data base for patient data makes the system useful in daily practice.

Keywords

Electromyography (EMG)muscle rehabilitation muscle fatigue

Get full access to this article

View all access options for this article.

References

Hägg GM. Zero crossing rate as an index of electromyographic spectral alterations and its applications to ergonomics.

In: Arbete och hälsä (Work and health) Vetenskaplig skriftserie

5. Solna. 1991.

Grabiner MD Koh

Miller

. Fatigue rates of vastus medialis oblique and vastus lateralis during static and dynamic knee extension. Journal of Orthopedic Research. 9: 391–397, 1991.

Horita

Ishiko

Relationships between muscle lactate accumulation and surface EMG activities during isokinetic contractions in man. European Journal of Applied Physiology. 56: 18–23, 1987.

Gamet

Maton

The fatigability of two agonistic muscles in human isometric voluntary submaximal contraction: an EMG study I. Assessment of muscular fatigue by means of surface EMG. European Journal of Applied Physiology. 58: 361–368, 1989.

Moritani

Muro Μ. Motor unit activity and surface electromyogram power spectrum during increasing force of contraction. European Journal of Applied Physiology. 56: 260–265, 1987.

Inbar

Allin

Paiss

Kranz

Monitoring surface EMG spectral changes by zero crossing rate. Medical Biology and Enginering Computers. 24:10–18, 1986.

Roy

De Luca CJ, Casavanl DA. Lumbar muscle fatigue and chronic lower back pain. Spine. 14: 992–1001, 1989.

Mannion

Dolan

Electromyographic median frequency changes during isometric contraction of the back extensors to fatigue. Spine. 19: 1223–1229, 1994.

Roy

De Luca CJ, Emley Μ, Buijs RJC. Spectral electromyographic assessment of back muscles in patients with low back pain undergoing rehabilitation. Spine. 20: 38–48, 1995.

10.

Solomonov Μ, Baten C, Smith J. Electromyogram power spectral frequencies associated with motor unit recruitment strategies. Journal of Applied Physiology. 68: 1177–1185 1990.

11.

Gerdle

Elert

The temporal occurrence of the mean power frequency shift of the electromyogram during maximum prolonged dynamic and static working cycles. International Journal of Sports Medicine. 15: S32-S37, 1994.

12.

Kondraske

Deivanayagam

Carmichael

Mayer

Mooney

Myoelectrical spectral analysis and strategies for quantifying trunk muscular fatigue. Archives of Physical Medicine and Rehabilitation, 68: 103–110, 1987.

13.

Väätäinen U, Airaksinen O, Kiviranta 1, Jaroma H. Decreased torque and electromyographic activity in the thigh muscles in painfull chondromalacia patellae. International Journal of Sports Medicine. 16:45–50, 1995.

14.

Väätäinen U, Kiviranta 1, Jaroma H, Airaksinen O. The effect of the lateral release in chondromalacia patellae. A clinical and an electromyographic study. Archives of Physical Medicine and Rehabilitation. 75: 1127–1131, 1994.

15.

Kankaanpää Μ. Taimela S, Webber CL, Hänninen O. Airaksinen O. Lumbar paraspinal fatigability in repetitive back isoincrtial loading: EMG spectral indices, Borg scale and endurance time. European Journal of Applied Physiology. 76: 236–242, 1997

16.

Stulcn

DcLuca

. Frequency parameters of the myoelectrical signal as measure of muscle conduction velocity. 1EE Transaction of Biomedical Engineering. 28: 515–523. 1981.

17.

Thompson

Biedermann

H-J

. Electromyographic power spectrum analysis of paraspinal muscles. Long term reliability. Spine. 18: 2310–2313. 1993.

18.

Webber CL Jr, Schmidt MA, Walsh JM. Influence of isometric loading on biceps EMG dynamics as assessed by linear and nonlinear tools. Journal of Applied Physiology. 78 (3) 814–822, 1995.