Abstract
A novel high-precision decomposition algorithm for EMG (electromyography) signals based on the Viterbi algorithm is described. Under certain assumptions this algorithm yields the least squares solution in the time domain. It is shown that the EMG signal source can be modeled as a (M+1)-ary signaling system with intersymbol interference. Direct application of the Viterbi algorithm would lead to a decoder with ≈1020 states, which cannot be implemented. It is shown that according to the special nature of the EMG signal essential simplifications can be done. The resulting algorithm requires only on the order of 104 states. The test of the implemented algorithm shows that, in the mean, over 90% correctly detected innervation time points and only about 5% additional time points can be expected.
| Original language | English |
|---|---|
| Pages (from-to) | 730-733 |
| Number of pages | 4 |
| Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
| Volume | 1 |
| State | Published - 1991 |
| Event | 1991 IEEE International Symposium on Circuits and Systems Part 1 (of 5) - Singapore, Singapore Duration: 11 Jun 1991 → 14 Jun 1991 |