Comments (8)
Wavelet
- Surface Electromyography Signal Processing and
Classification Techniques- Wavelet denoising
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PCA Signal Filter and Reconstruct
Basic idea: Raw signal -> PCA -> discard unwanted -> reconstruct -> clean signal
- PCA maximize variability
- 4-ch sEMG for 4 muscle, each channel should have more or less equal variability
- Discarding a PCAed signal would remove some variability from all signal, equally
--> may not be suitable
Look for more example
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ICA
- sEMG signal has Gaussian dist., not suitable for ICA
- Is RMS signal suitable for FastICA? probably not
Dropping ICA, at least temporarily. See 'Meeting 2018/05/11 - 4-ch SEMG'
- A FastICA Algorithm for Non-negative Independent Component Analysis
- Algorithms for Nonnegative Independent Component Analysis
- Find the latest iteration of this
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Alternative BSS
See #42 for TDSEP
- Exploiting time separation. ICA/PCA lack temporal information
- signal separation nonstationary
- signal separation time
- signal separation temporal
- temporal decorrelation
- temporal structure BSS
-
Nonstationary source separation using sequential and variational Bayesian learning
-
Adaptive filtering for music/voice separation exploiting
the repeating musical structure -
Temporal FastICA
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Pulse Gen Integration
- Pulse mode seems be performing better w/ separated FLX/EXT or PRO/SUP
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Why BSS
X = AS, Measured EMG
Y = f(S), Angle
S: EMG
A: Mixing matrix
f: Non-linear function
---
NN:
Have Y and X
Find inv(A), to get S = inv(A)X
then, find f(), to get Y = f(S)
NN w/ BSS:
Have Y and X
BSS: Find inv(A)
NN: Only needs to find f(), simplify NN's job
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New
- RMS -> ICA
- Done previously, check history
- RMS -> TDSEP
- Makes more sense then above
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Nonnegative Matrix Factorization (NMF)
- Nonnegative Matrix Factorization for the Identification of EMG Finger Movements: Evaluation Using Matrix Analysis
- Decomposing Time Series Data by a Non-negative Matrix Factorization Algorithm with Temporally Constrained Coefficients
General info on PCA/ICA/NMF:
https://pdfs.semanticscholar.org/presentation/3389/7f174795bb193a4b91d65b767ade629f1f6d.pdf
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Related Issues (20)
- PCA Signal Filter and Reconstruct
- FLX/EXT Ground Truth HOT 1
- Select Paper for Comparison HOT 2
- MPU-9250 Roll/Pitch + sEMG ADC HOT 4
- TDSEP HOT 1
- Wrist Angle Paper Experiment Comparison HOT 2
- Semi-random Electrode Placement Test
- 6+ Electrode Performance Test
- Quality of nICA affects the performance of LSTM HOT 1
- Nominal RMSE value
- Re-solder AED connector HOT 1
- Signal Processing Parameter
- Combined FLX/EXT/PRO/SUP angle
- Demo HOT 1
- Processing - C Live Demo HOT 4
- Additional Experiment HOT 2
- Thesis Revision HOT 1
- 4 Page
- Wrap Up
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