Table A2.

Parameter threshold for prediction algorithm for ET.

Patient#	Parameter with w1, w2 = 1	threshold
ET1	SpEn and $\overline{P_4}(w_1)$ $P_{max}^{\text{sEMG}}$ and $F_{max}^{\text{sEMG}}(w_1)$ R(w2) $F_{\text{mean}}^{\text{sEMG}}(w_2)$	(ηl1, ηh1) = (0.25, 0.3); (ηl2, ηh2) = (0.18, 0.22); ηp = 10; fp = 22; (fl, fh) = (5, 10) (ρl, ρh) = (0.3, 0.35) (fl, fh) = (10, 11)
ET2(left)	$P_{max}^{\text{sEMG}}$ and $F_{max}^{\text{sEMG}}(w_1)$	fp = 20; (fl, fh) = (4, 10)
	R(w2)	(ρl, ρh) = (0.3, 0.4)
ET2(right)	SpEn and $\overline{P_4}(w_1)$ $F_{\text{mean}}^{\text{sEMG}}(w_2)$	(ηl1, ηh1) = (0.45, 0.5); (ηl2, ηh2) = (0.1, 0.2); ηp = 10; (fl, fh) = (11, 12)
ET3	SpEn and $\overline{P_4}(w_1)$ R(w2)	(ηl1, ηh1) = (0.3, 0.4); (ηl2, ηh2) = (0.16, 0.18); ηp = 50; (ρl, ρh) = (0.4, 0.48)
	$F_{\text{mean}}^{\text{sEMG}}(w_2)$	(fl, fh) = (11, 12)
ET4	SpEn and $\overline{P_4}(w_1)$ $P_{max}^{\text{sEMG}}$ and $F_{max}^{\text{sEMG}}(w_1)$	(ηl1, ηh1) = (0.78, 0.98); (ηl2, ηh2) = (0.38, 0.48); ηp = 20; fp = 22; (fl, fh) = (5, 10)
	R(w2)	(ρl, ρh) = (0.3, 0.34)