Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis

Peña, Guido Gómez; Consoni, Leonardo José; Santos, Wilian M. dos; Siqueira, Adriano A. G.

doi:10.1016/j.robot.2018.11.011

Cited by 46 publications

(35 citation statements)

References 14 publications

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“…Its features are summarised in Table 4. This equipment is used by a wide range of studies [39,40,41,42] because of its high accuracy and the powerful software.…”

Section: Methodsmentioning

confidence: 99%

Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study

Toro

Wei

Olmeda

et al. 2019

Sensors

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Electromyography (EMG) devices are well-suited for measuring the behaviour of muscles during an exercise or a task, and are widely used in many different research areas. Their disadvantage is that commercial systems are expensive. We designed a low-cost EMG system with enough accuracy and reliability to be used in a wide range of possible ways. The present article focuses on the validation of the low-cost system we designed, which is compared with a commercially available, accurate device. The evaluation was done by means of a set of experiments, in which volunteers performed isometric and dynamic exercises while EMG signals from the rectus femoris muscle were registered by both the proposed low-cost system and a commercial system simultaneously. Analysis and assessment of three indicators to estimate the similarity between both signals were developed. These indicated a very good result, with spearman’s correlation averaging above 0.60, the energy ratio close to the 80% and the linear correlation coefficient approximating 100%. The agreement between both systems (custom and commercial) is excellent, although there are also some limitations, such as the delay of the signal (<1 s) and noise due to the hardware and assembly in the proposed system.

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“…Its features are summarised in Table 4. This equipment is used by a wide range of studies [39,40,41,42] because of its high accuracy and the powerful software.…”

Section: Methodsmentioning

confidence: 99%

Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study

Toro

Wei

Olmeda

et al. 2019

Sensors

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“…However, the sEMG based continuous-motion intention regression and sEMG-driven musculoskeletal model based motion intention recognition are rarely reviewed. And the two methods are more valuable to realize the smooth control of wearable robot movements [3,18,19]. In order to further understand the knowledge of the sEMG based motion intention recognition, this paper presents the review of all commonly used methods of human motion intention recognition for last decade briefly.…”

Section: Muscle Activationmentioning

confidence: 99%

“…For lower limb motion estimation, Pena et al [19] proposed a multilayer perceptron neural network to map the sEMG signals to the knee torque and stiffness. The input signals were the sEMG signals, knee angle, and angular velocities and the output signals were estimated knee torque and stiffness.…”

Section: Mapping Between Semg and Joint Kineticsmentioning

confidence: 99%

sEMG Based Human Motion Intention Recognition

Zhang

Liu

Han

et al. 2019

Journal of Robotics

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Human motion intention recognition is a key to achieve perfect human-machine coordination and wearing comfort of wearable robots. Surface electromyography (sEMG), as a bioelectrical signal, generates prior to the corresponding motion and reflects the human motion intention directly. Thus, a better human-machine interaction can be achieved by using sEMG based motion intention recognition. In this paper, we review and discuss the state of the art of the sEMG based motion intention recognition that is mainly used in detail. According to the method adopted, motion intention recognition is divided into two groups: sEMG-driven musculoskeletal (MS) model based motion intention recognition and machine learning (ML) model based motion intention recognition. The specific models and recognition effects of each study are analyzed and systematically compared. Finally, a discussion of the existing problems in the current studies, major advances, and future challenges is presented.

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“…Additionally, patient's motion performance -effort, regularity, amplitude -evolution can be assessed more objectively by registering robot's sensors measurements, and assistance or resistance forces can be applied by its actuators, as needed, more precisely (KREBS et al, 2008;HOGAN, 2014;SHAHBAZI et al, 2016). Apart from the mechanical preadjustment possible for passive devices, those actively controlled can even have their software parameters customized in advance for each user's anthropometric and biological characteristics (JUTINICO et al, 2017;PÉREZ-IBARRA et al, 2019;PEÑA et al, 2019).…”

Section: Robotic Rehabilitationmentioning

confidence: 99%

“…Besides, estimations of patient effort -used for both assistance and game challenge adaptation -which are dependent on additional equipment (DARZI; GORŠIČ; PEÑA et al, 2019) are less suitable for low-cost seeking applications of remote/home care (GORSIC;NOVAK, 2016;. It is desirable that this type of information could be obtained from very portable devices or directly from control data.…”

Section: Motivationmentioning

confidence: 99%

Adaptive passivity control for haptic transparency enhancement of multilateral robotic telerehabilitation in virtual reality environments

Consoni¹

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Last but not least, I would like to thank all the people, known or anonymous, that directly or indirectly collaborated to the developments I went through over the course of my life, to whom I wish to give something in return someday. "No man is an island, Entire of itself, Every man is a piece of the continent, A part of the main. If a clod be washed away by the sea, Europe is the less. As well as if a promontory were. As well as if a manor of thy friend's Or of thine own were: Any man's death diminishes me, Because I am involved in mankind, And therefore never send to know for whom the bell tolls; It tolls for thee." John Donne"Man tries to make for himself in the fashion that suits him best a simplified and intelligible picture of the world; he then tries to some extent to substitute this cosmos of his for the world of experience, and thus to overcome it. This is what the painter, the poet, the speculative philosopher, and the natural scientist do, each in his own fashion. Each makes this cosmos and its construction the pivot of his emotional life, in order to find in this way the peace and security which he cannot find in the narrow whirlpool of personal experience.

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Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis

Cited by 46 publications

References 14 publications

Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study

Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study

sEMG Based Human Motion Intention Recognition

Adaptive passivity control for haptic transparency enhancement of multilateral robotic telerehabilitation in virtual reality environments

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