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Surface EMG Frequency-Based Discrimination of Low Back Pain Patients


Srhoj-Egekher, Vedran; Peharec, Stanislav; Cifrek, Mario
Surface EMG Frequency-Based Discrimination of Low Back Pain Patients // WC2012 World Congress on Medical Physics and Biomedical Engineering Proceedings / Liu, Depei (ur.).
Peking, 2012. str. xx-xx (poster, međunarodna recenzija, sažetak, znanstveni)


Naslov
Surface EMG Frequency-Based Discrimination of Low Back Pain Patients

Autori
Srhoj-Egekher, Vedran ; Peharec, Stanislav ; Cifrek, Mario

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
WC2012 World Congress on Medical Physics and Biomedical Engineering Proceedings / Liu, Depei - Peking, 2012, Xx-xx

Skup
World Congress on Medical Physics and Biomedical Engineering

Mjesto i datum
Peking, Kina, 26–31.05.2012

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Low back pain ; time-frequency analysis ; Hilbert-Huang transform ; surface electromyography ; sEMG ; muscle fatigue
(Ow back pain ; time-frequency analysis ; Hilbert-Huang transform ; surface electromyography ; sEMG ; muscle fatigue)

Sažetak
The back muscle endurance is clearly identified as a predictor of the first occurrence and recurrence of low back pain, with considerable amount of research being performed on this topic. The frequency parameters-based evaluation of the issued low back pain (LBP) pathology was deployed, utilizing the Hilbert-Huang (HHT) and Fourier (STFT) analysis techniques for the induced lumbar muscle fatigue assessment by means of surface electromyography (sEMG). The time-dependent median frequency estimate is used as muscle fatigue indicator, and linear regression parameters, slope (k) and initial frequency (f0), are derived as fatigue quantifiers. A total number of 92 male subjects were considered, divided in three groups: 46 healthy subjects (HS), 28 subjects with chronic low back pain (CLBP) and the remaining 18 subjects with radicular low back pain (RLBP). Four channel sEMG recordings for each subject were acquired where upper (ULES) and lower (LLES) lumbar erector spinae muscles, both in left-right pairs, were tracked. By employing the t-test statistics (α=0.05), significant relative difference on slope k, in left-right muscle relation, for RLBP toward HS and CLPB groups is reported (p<0.05), as well as no significant difference between HS and CLBP (p>0.05), both for ULES and LLES muscles separately. Also, the slope k ratio between ULES and LLES muscles shows the significant difference for CLBP and RLBP groups toward HS (p<0.05), where no significant difference between CLBP and RLBP is established (p>0.05). In this initial research, it is shown that the regression slope k parameter, presenting the time-rate of fatiguing process and also the muscle involvement in a particular contraction, is a very good indicator for discriminating our groups, with HHT providing statistically more significant results then the STFT based analysis. The initial frequency parameter (f0) does not show the statistically significant results to be considered as a reliable LBP pathology indicator.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Kliničke medicinske znanosti



POVEZANOST RADA


Projekt / tema
036-0362979-1554 - Neinvazivna mjerenja i postupci u biomedicini (Stanko Tonković, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb