TY - CHAP
T1 - The Influence of Harmonics Filtering for Weak EMG Analysis
AU - Aydın, R.
AU - Alnajjar, F.
AU - Sonoo, M.
AU - Costa Garcia, A.
AU - Takatsune, K.
AU - Shimoda, S.
N1 - Funding Information:
Acknowledgment This pilot study was supported by RIKEN Research Institute and Toyota Motor Co. LTD to whom we would like to thank for their supports.
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Cerebral palsy is a neurological disorder which caused by a brain injury or developmental malfunction of the brain. Cerebral palsy may cause many adverse results such as movement and postural stability problems. One of the medical conditions that may occur with such problems is scoliosis. There are few treatment options, one of the common methods is the use of a back brace. The patients can be more active when they wear the brace. The purpose of our research is to clarify the difference between the conditions with and without brace focusing on the difference of surface electromyography (s- EMG) activities. In many cases, however, s-EMG signal is too weak to analyse in typical way. In this paper, we discuss the filtering method of the weak s-EMG signals. We use a notch filter whose cut-off frequencies are determined by fast Fourier transform of the raw signals. We show that the filter does not make strong influence for the features of s-EMG signals to be able to discuss the differences between the conditions which are with and without wearing a back brace.
AB - Cerebral palsy is a neurological disorder which caused by a brain injury or developmental malfunction of the brain. Cerebral palsy may cause many adverse results such as movement and postural stability problems. One of the medical conditions that may occur with such problems is scoliosis. There are few treatment options, one of the common methods is the use of a back brace. The patients can be more active when they wear the brace. The purpose of our research is to clarify the difference between the conditions with and without brace focusing on the difference of surface electromyography (s- EMG) activities. In many cases, however, s-EMG signal is too weak to analyse in typical way. In this paper, we discuss the filtering method of the weak s-EMG signals. We use a notch filter whose cut-off frequencies are determined by fast Fourier transform of the raw signals. We show that the filter does not make strong influence for the features of s-EMG signals to be able to discuss the differences between the conditions which are with and without wearing a back brace.
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U2 - 10.1007/978-3-030-70316-5_126
DO - 10.1007/978-3-030-70316-5_126
M3 - Chapter
AN - SCOPUS:85116883418
T3 - Biosystems and Biorobotics
SP - 791
EP - 795
BT - Biosystems and Biorobotics
PB - Springer Science and Business Media Deutschland GmbH
ER -