Feature Extraction of Shoulder Joint’s Voluntary Flexion-Extension Movement Based on Electroencephalography Signals for Power Assistance

Liang, Hongyu; Zhu, Chi; Iwata, Yusuke; Maedono, Shota; Mochita, Mika; Liu, Chang; Li, Peirang; Huang, Yu; Yao, Yan; Duan, Feng

doi:10.3390/bioengineering6010002

Cited by 3 publications

(5 citation statements)

References 20 publications

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“…The shoulder is considered to be one of the most complex joints in the human body due to its huge range of motion (ROM). [ 1 ] Rotator cuff lesions account for the vast majority of shoulder injuries in adult and are a common cause of chronic shoulder pain, deterioration of daily activities, and disability. The incidence of rotator cuff lesions is increasing along with an aging population.…”

Section: Introductionmentioning

confidence: 99%

Platelet-rich plasma injection vs corticosteroid injection for conservative treatment of rotator cuff lesions

Wang¹,

Zhang²,

Ma³

et al. 2021

Medicine

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Background: To explore the effectiveness of platelet-rich plasma (PRP) injection regarding functional recovery, pain relief, and range of motion (ROM) of shoulder compared with the corticosteroid injection in patients with rotator cuff lesions treated non-operatively. Methods: An electronic literature search was performed by 2 authors in the PubMed, Embase, Cochrane Library, and Web of Science databases to identify relevant randomized controlled trial (RCTs) that were published up to July 20, 2020. The quality of the included RCTs was evaluated using the approach recommended by the Cochrane Handbook for Systematic Reviews of Interventions. Standardized mean differences (SMDs) or mean differences (MDs) with 95% confidence intervals (CIs) were applied to calculate the pooled effect sizes. Results: Six RCTs were included in this systematic review. Meta-analysis revealed that corticosteroid injection yielded statistically significant superior functional recovery (SMD = −0.80; 95% CI, −1.42 to −0.18; P = .01) and pain relief (MD = 1.59; 95% CI, 0.30–2.89; P = .02) compared with PRP injection for rotator cuff lesions during the short-term follow-up period. However, at the medium-term and long-term follow-up, no statistically significant difference was identified between the 2 groups. Regarding the ROM of shoulder, no statistically significant difference was found between the 2 groups during the whole follow-up period. Conclusions: The current clinical evidence revealed short-term efficacy of corticosteroid injection and no significant medium- to long-term difference between corticosteroid and PRP injection in the treatment of rotator cuff lesions. Additional studies with longer follow-ups, larger sample sizes, and more rigorous designs are needed to draw more reliable and accurate conclusions.

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Section: Introductionmentioning

confidence: 99%

Platelet-rich plasma injection vs corticosteroid injection for conservative treatment of rotator cuff lesions

Wang¹,

Zhang²,

Ma³

et al. 2021

Medicine

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“…Clear examples are subjects affected by neuromuscular disorders, such as MD, ALS, MS, SCI, and CP, or even poststroke patients and amputees [5,[18][19][20]. In this scenario, two main targets can be identified: robotic control [14,15,34,49,50,[64][65][66][67][68][69] and prosthetic control [46][47][48][69][70][71][72][73][74][75][76][77][78].…”

Section: Eeg-based Hmismentioning

confidence: 99%

“…Liang et al extracted some features from EEG signals related to the shoulder's joint flexion and extension movement. They demonstrated the existence of a relationship between changes in EMG and EEG signals, thus showing feasible to estimate from EEG the minimum torque for controlling an upper-limb exoskeleton robot [34]. He et al demonstrated the feasibility of decoding joint kinematics and sEMG patterns from scalp EEG to control a powered exoskeleton for gait rehabilitation after stroke [35].…”

Section: Eeg-based Hmismentioning

confidence: 99%

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Biosignal-Based Human–Machine Interfaces for Assistance and Rehabilitation: A Survey

Esposito

Centracchio

Andreozzi

et al. 2021

Sensors

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As a definition, Human–Machine Interface (HMI) enables a person to interact with a device. Starting from elementary equipment, the recent development of novel techniques and unobtrusive devices for biosignals monitoring paved the way for a new class of HMIs, which take such biosignals as inputs to control various applications. The current survey aims to review the large literature of the last two decades regarding biosignal-based HMIs for assistance and rehabilitation to outline state-of-the-art and identify emerging technologies and potential future research trends. PubMed and other databases were surveyed by using specific keywords. The found studies were further screened in three levels (title, abstract, full-text), and eventually, 144 journal papers and 37 conference papers were included. Four macrocategories were considered to classify the different biosignals used for HMI control: biopotential, muscle mechanical motion, body motion, and their combinations (hybrid systems). The HMIs were also classified according to their target application by considering six categories: prosthetic control, robotic control, virtual reality control, gesture recognition, communication, and smart environment control. An ever-growing number of publications has been observed over the last years. Most of the studies (about 67%) pertain to the assistive field, while 20% relate to rehabilitation and 13% to assistance and rehabilitation. A moderate increase can be observed in studies focusing on robotic control, prosthetic control, and gesture recognition in the last decade. In contrast, studies on the other targets experienced only a small increase. Biopotentials are no longer the leading control signals, and the use of muscle mechanical motion signals has experienced a considerable rise, especially in prosthetic control. Hybrid technologies are promising, as they could lead to higher performances. However, they also increase HMIs’ complexity, so their usefulness should be carefully evaluated for the specific application.

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“…However, the EEG features for power augmentation of the elbow and the shoulder joints were still unclear. Many studies have been carried out to try to find the motion-related EEG features using a variety of methods, including Fast Fourier transform (FFT) [ 17 ], Short-time Fourier transform (STFT) [ 18 ], wavelet transform [ 19 ], Independent Component Analysis (ICA) [ 20 ], auto-regressive method [ 21 ], Principal Component Analysis (PCA) [ 22 ], time-frequency Distributions (TFD) [ 23 ], eigenvector methods [ 24 ], and so on. To obtain accurate classification results without losing important information at a reasonable time, the speed and accuracy of the feature extraction stage are crucial.…”

Section: Introductionmentioning

confidence: 99%

Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study

Liang

Maedono

et al. 2021

Entropy

Self Cite

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Electroencephalography neurofeedback (EEG-NFB) training can induce changes in the power of targeted EEG bands. The objective of this study is to enhance and evaluate the specific changes of EEG power spectral density that the brain-machine interface (BMI) users can reliably generate for power augmentation through EEG-NFB training. First, we constructed an EEG-NFB training system for power augmentation. Then, three subjects were assigned to three NFB training stages, based on a 6-day consecutive training session as one stage. The subjects received real-time feedback from their EEG signals by a robotic arm while conducting flexion and extension movement with their elbow and shoulder joints, respectively. EEG signals were compared with each NFB training stage. The training results showed that EEG beta (12–40 Hz) power increased after the NFB training for both the elbow and the shoulder joints’ movements. EEG beta power showed sustained improvements during the 3-stage training, which revealed that even the short-term training could improve EEG signals significantly. Moreover, the training effect of the shoulder joints was more obvious than that of the elbow joints. These results suggest that NFB training can improve EEG signals and clarify the specific EEG changes during the movement. Our results may even provide insights into how the neural effects of NFB can be better applied to the BMI power augmentation system and improve the performance of healthy individuals.

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Feature Extraction of Shoulder Joint’s Voluntary Flexion-Extension Movement Based on Electroencephalography Signals for Power Assistance

Cited by 3 publications

References 20 publications

Platelet-rich plasma injection vs corticosteroid injection for conservative treatment of rotator cuff lesions

Platelet-rich plasma injection vs corticosteroid injection for conservative treatment of rotator cuff lesions

Biosignal-Based Human–Machine Interfaces for Assistance and Rehabilitation: A Survey

Exploring Neurofeedback Training for BMI Power Augmentation of Upper Limbs: A Pilot Study

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