Human Joint Torque Estimation Based on Mechanomyography for Upper Extremity Exosuit

Shi, Yongjun; Dong, Wei; Lin, Weiqi; Lin, He; Wang, Xinrui; Li, Pengjie; Gao, Yongzhuo

doi:10.3390/electronics11091335

Cited by 11 publications

(5 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The aim of this sequential pipeline was to isolate the characteristic MMG vibrations, remove noise and interference, smooth the data, and standardize the scales prior to input into the transformer architecture [ 17 , 18 ]. The entire preprocessing workflow is depicted in Figure 2 .…”

Section: Methodsmentioning

confidence: 99%

Estimating Rotational Acceleration in Shoulder and Elbow Joints Using a Transformer Algorithm and a Fusion of Biosignals

Bai,

Guan,

et al. 2024

Sensors

Self Cite

View full text Add to dashboard Cite

In the present study, we used a transformer model and a fusion of biosignals to estimate rotational acceleration in elbow and shoulder joints. To achieve our study objectives, we proposed a mechanomyography (MMG) signal isolation technique based on a variational mode decomposition (VMD) algorithm. Our results show that the VMD algorithm delivered excellent performance in MMG signal extraction compared to the commonly used technique of empirical mode decomposition (EMD). In addition, we found that transformer models delivered estimates of joint acceleration that were more precise than those produced by mainstream time series forecasting models. The average R2 values of transformer are 0.967, 0.968, and 0.935, respectively. Finally, we found that using a fusion of signals resulted in more precise estimation performance compared to using MMG signals alone. The differences between the average R2 values are 0.041, 0.053, and 0.043, respectively. Taken together, the VMD isolation method, the transformer algorithm and the signal fusion technique described in this paper can be seen as supplying a robust framework for estimating rotational acceleration in upper-limb joints. Further study is warranted to examine the effectiveness of this framework in other musculoskeletal contexts.

show abstract

Section: Methodsmentioning

confidence: 99%

Estimating Rotational Acceleration in Shoulder and Elbow Joints Using a Transformer Algorithm and a Fusion of Biosignals

Bai,

Guan,

et al. 2024

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Especially when worn by manual workers, the additional energy harvester will significantly increase their physical exertion when they perform physical work. Therefore, the design of an energy harvester for manual workers is more demanding, not only to avoid interfering with the normal work of manual workers but also to convert enough electricity to supply the wearable device [23,24].…”

Section: Literature Reviewmentioning

confidence: 99%

Collecting the energy generated by manual workers to monitor their working status and improve their working conditions by using a flexible rack mechanism

Ren,

Zhou,

et al. 2023

Smart Mater. Struct.

View full text Add to dashboard Cite

Currently, an increasing quantity of portable energy harvesting modules are being developed to capture the energy generated by human motion. However, the size and weight of a device can affect the smoothness and comfort of a user's normal limb movements in the process of collecting energy generated by human movement. Especially on manual workers, this effect will significantly increase their physical exertion, so the design of energy-harvesting devices for wearing on manual workers has higher requirements. The bend knee energy harvester(BKEH) designed in the work presented in this paper used a laboratory-made flexible rack to harvest the energy generated by manual workers' frequently bent knees during work. It converts the collected energy into electricity for various wearable devices to monitor the working status of manual workers and improve their working conditions. One end of the flexible rack is fixed to the upper thigh. When the user bends the knee, the flexible rack will move downward, causing the gear to rotate, thereby collecting the energy generated by the body's movement.The BKEH was made of many lightweight materials and weighed only 406 g, greatly reducing the impact on the user's normal limb movements and physical exertion. Practical experiments showed that the BKEH output open-circuit voltage is up to 80.3 V, the output power reached as high as 3.16 W, and the power density reached as high as 7.9 W/kg, which can effectively supply sufficient electrical power for wearable devices to work normally. The BKEH has a high practical value and good adaptability to human movement posture and can generate enough voltage and power to allow some wearable devices to work properly. These wearable devices can effectively provide users with the ability to monitor their work status and improve working conditions.

show abstract

“…(2) It has a large degree of freedom of movement. The soft exosuit has no rigid links on the limbs and no slewing mechanism at the joints, due to the application of the flexible suit and cables to transmit power [11,12]. This allows the entire device not to restrict the joint movement at all.…”

Section: Introductionmentioning

confidence: 99%

Design Methodology and Experimental Study of a Lower Extremity Soft Exosuit

Lin

Guan

2023

Electronics

Self Cite

View full text Add to dashboard Cite

Flexibility and light weight have become the development trends in the field of exoskeleton research. With high movement flexibility, low movable inertia and excellent wearable comfort, such a type of system is gradually becoming an exclusive candidate for applications such as military defense, rehabilitation training and industrial production. In this paper, aiming at assisting the walking of human lower limbs, a soft exosuit is investigated and developed based on the considerations of fabric structure, sensing system, cable-driven module, and control strategy, etc. Evaluation experiments are also conducted to verify its effectiveness. A fabric optimization of the flexible suit is performed to realize the tight bond between human and machine. Through the configuration of sensor nodes, the motion intention perception system is constructed for the lower limb exosuit. A flexible actuation unit with a Bowden cable is designed to improve the efficiency of force transmission. In addition, a position control strategy based on division of the gait phase is applied to achieve active assistance during plantar flexion of the ankle joint. Finally, to verify the assistive effectiveness of the proposed lower extremity exosuit, experiments including a physiological metabolic test and a muscle activation test are conducted. The experiment results show that the exosuit proposed in this paper can effectively reduce the metabolic consumption and muscle output of the human body. The design and methodology proposed in this paper can be extended to similar application scenarios.

show abstract

Human Joint Torque Estimation Based on Mechanomyography for Upper Extremity Exosuit

Cited by 11 publications

References 35 publications

Estimating Rotational Acceleration in Shoulder and Elbow Joints Using a Transformer Algorithm and a Fusion of Biosignals

Estimating Rotational Acceleration in Shoulder and Elbow Joints Using a Transformer Algorithm and a Fusion of Biosignals

Collecting the energy generated by manual workers to monitor their working status and improve their working conditions by using a flexible rack mechanism

Design Methodology and Experimental Study of a Lower Extremity Soft Exosuit

Contact Info

Product

Resources

About