Graupe D, Salahi J, Kohn K H
J Biomed Eng. 1982 Jan;4(1):17-22. doi: 10.1016/0141-5425(82)90021-8.
The paper discusses results of on-line tests on amputees and hemiplegics of multifunctional prostheses and orthoses control by identifying the parameters of single-site temporal EMG signal signatures. The results relate to tests on above-elbow amputees, on shoulder-disarticulation amputees (including a congenital disarticulation amputee) and on hemiplegics, varying from 5 to 50 years of age. The system employed is based on an 8-bit Intel 8080 microprocessor, when computation is in double precision, to obtain an effective 16-bit work-length. The system employs a sequential least-squares algorithm to identify a 4-parameter auto-regressive time-series model of the EMG signal, and a Bayesian rule discrimination algorithm.
本文讨论了通过识别单部位颞部肌电信号特征参数对截肢者和偏瘫患者的多功能假肢与矫形器控制进行在线测试的结果。结果涉及对年龄在5至50岁之间的肘上截肢者、肩关节离断截肢者（包括一名先天性关节离断截肢者）以及偏瘫患者的测试。所采用的系统基于8位英特尔8080微处理器，计算采用双精度，以获得有效的16位工作长度。该系统采用序贯最小二乘算法来识别肌电信号的四参数自回归时间序列模型，以及贝叶斯规则判别算法。
