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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: Clin Neurophysiol. 2019 Nov 5;131(1):274–284. doi: 10.1016/j.clinph.2019.09.021

Table 1. Neurophysiological biomarkers for resting tremor detection.

Biomarker Description
1. Low Beta Spectral power in (13–20 Hz) (Priori et al., 2004; Qasim et al., 2016)
2. High Beta Spectral power in (20–30 Hz) (Priori et al., 2004)
3. Low Gamma Spectral power in (31–45 Hz) (Weinberger et al., 2009)
4. Gamma Spectral power in (60–90 Hz) (Trottenberg et al., 2006)
5. High Gamma Spectral power in (100–200 Hz) (Ray et al., 2008)
6. Low HFO Spectral power in (200–300 Hz) (López-Azcárate et al., 2010)
7. High HFO Spectral power in (300–400 Hz) (López-Azcárate et al., 2010)
8. HFO Ratio Power ratio of HFO in (200–300 Hz) and (300–400 Hz) (Hirschmann et al., 2016)
9. PAC Phase-amplitude coupling between the phase of beta (13–30 Hz) and the amplitude of HFO (150–400 Hz) (van Wijk et al., 2016)
10. Tremor Power Spectral power in (3–7 Hz)
11. Max Power The peak power in (3–7 Hz)
12. Wavelet Ent Wavelet entropy (Rosso et al., 2001)
13. Hjo Act Hjorth activity (Hjorth, 1970)
14. Hjo Mob Hjorth mobility (Hjorth, 1970)
15. Hjo Com Hjorth complexity (Hjorth, 1970)