Morse M S, O'Brien E M
Comput Biol Med. 1986;16(6):399-410. doi: 10.1016/0010-4825(86)90064-8.
The availability of speech information in the myoelectric signals (MES) of neck and head muscles was observed during five experiments conducted on two subjects. The MES of four channels, obtained using surface electrodes, was analog amplified, filtered and enhanced prior to digitization. Information was extracted at the rate of 20 points per second per channel using an average magnitude algorithm. The presence of speech related information was statistically verified with a pattern recognition algorithm based on the maximum likelihood algorithm. The results indicated that statistically significant (p = 0.01) information was present and that this scheme might be valuable in the future development of a vocal prosthesis.
在对两名受试者进行的五项实验中,观察了颈部和头部肌肉的肌电信号(MES)中语音信息的可用性。使用表面电极获得的四个通道的MES在数字化之前进行了模拟放大、滤波和增强。使用平均幅度算法以每秒每个通道20个点的速率提取信息。基于最大似然算法的模式识别算法对语音相关信息的存在进行了统计验证。结果表明存在具有统计学意义(p = 0.01)的信息,并且该方案在未来人工喉的开发中可能具有价值。