A compact-sized surface EMG sensor for myoelectric hand prosthesis

Prakash, Alok; Sharma, Shiru; Sharma, Neeraj

doi:10.1007/s13534-019-00130-y

Cited by 33 publications

(18 citation statements)

References 40 publications

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“…After that, the signal is passed through a 20−500 Hz bandpass filter to remove the motion artifacts, external noises of low frequencies and noises occurring at high frequencies (De Luca, 2002; Hermens et al , 2000). An envelope detector containing a precision rectifier circuit and a low-pass resistor–capacitor circuit was used to yield a linear envelope of amplified and filtered EMG signal (Prakash et al , 2019).…”

Section: Methodsmentioning

confidence: 99%

FSR and IMU sensors-based human gait phase detection and its correlation with EMG signal for different terrain walk

Negi

Sharma

2021

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Purpose The purpose of this paper is to present gait analysis for five different terrains: level ground, ramp ascent, ramp descent, stair ascent and stair descent. Design/methodology/approach Gait analysis has been carried out using a combination of the following sensors: force-sensitive resistor (FSR) sensors fabricated in foot insole to sense foot pressure, a gyroscopic sensor to detect the angular velocity of the shank and MyoWare electromyographic muscle sensors to detect muscle’s activities. All these sensors were integrated around the Arduino nano controller board for signal acquisition and conditioning purposes. In the present scheme, the muscle activities were obtained from the tibialis anterior and medial gastrocnemius muscles using electromyography (EMG) electrodes, and the acquired EMG signals were correlated with the simultaneously attained signals from the FSR and gyroscope sensors. The nRF24L01+ transceivers were used to transfer the acquired data wirelessly to the computer for further analysis. For the acquisition of sensor data, a Python-based graphical user interface has been designed to analyze and display the processed data. In the present paper, the authors got motivated to design and develop a reliable real-time gait phase detection technique that can be used later in designing a control scheme for the powered ankle-foot prosthesis. Findings The effectiveness of the gait phase detection was obtained in an open environment. Both off-line and real-time gait events and gait phase detections were accomplished for the FSR and gyroscopic sensors. Both sensors showed their usefulness for detecting the gait events in real-time, i.e. within 10 ms. The heuristic rules and a zero-crossing based-algorithm for the shank angular rate correctly identified all the gait events for the locomotion in all five terrains. Practical implications This study leads to an understanding of human gait analysis for different types of terrains. A real-time standalone system has been designed and realized, which may find application in the design and development of ankle-foot prosthesis having real-time control feature for the above five terrains. Originality/value The noise-free data from three sensors were collected in the same time frame from both legs using a wireless sensor network between two transmitters and a single receiver. Unlike the data collection using a treadmill in a laboratory environment, this setup is useful for gait analysis in an open environment for different terrains.

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Section: Methodsmentioning

confidence: 99%

FSR and IMU sensors-based human gait phase detection and its correlation with EMG signal for different terrain walk

Negi

Sharma

2021

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“…Electrophysiological Sensors: Electrophysiological signals, which originate from the human body and indicates human health conditions, are useful for medical diagnosis and long-term health monitoring. [848][849][850] Typical electrophysiological signals include electrocardiogram (ECG) measuring biopotential variation of heart, [8,851] electroencephalogram (EEG) measuring bioelectric activity of brain, [852,853] electromyography (EMG) monitoring biopotentials yielded by muscle activities, [854,855] and electrooculography (EOG) detecting corneo-retinal dipole potential variation from eye movements. [856,857] These signals from the human body could be noninvasively detected through human skin using wearable electrodes.…”

Section: Physical Sensorsmentioning

confidence: 99%

Ink‐Based Additive Nanomanufacturing of Functional Materials for Human‐Integrated Smart Wearables

2020

Advanced Intelligent Systems

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Human-integrated devices include wearable and implantable devices for monitoring vital human signals or interacting with the human body. [1-3] The human-integrated devices needed to be tethered to the organs or the human skin for implementing their functions such as sensing and energy harvesting. [4-18] The economical, agile, customizable manufacturing, and integration of multifunctional device modules into networked systems with mechanical compliance and robustness will enable unprecedented human-integrated smart wearables [19-23] and usher in exciting opportunities in emerging technologies such as electronics, [24-29] wearable computation, [30-36] human-machine interface, [37-42] robotics, [43-48] and advanced healthcare. [49-54] The fabrication of stateof-the-art microelectronics involves hightemperature processing steps, which are generally incompatible with the flexible substrates (e.g., paper, polymer, fiber, etc.) [55-61] widely used in the wearable devices. Moreover, the current microfabrication technologies are not well positioned to process the emerging functional nanomaterials (e.g., nanowires [NWs] and 2D materials). [62-65] Such incomparability severely limits the pace of deploying these emerging materials (despite their unprecedented properties) in wearable and flexible device technologies. The additive manufacturing (AM) processes have emerged as potential candidates for addressing the earlier limitations of the current microfabrication technologies in fabricating flexible/wearable printed devices with diversified functionalities, e.g., energy harvesting/storage, sensing, actuation, and computation, leveraging advantages such as maskless processing, versatile ink formulation, low cost, low processing temperature, and scalability. [66-71] Researchers have devoted tremendous efforts to develop the related technologies, and several reviews have provided excellent discussions on the material formulation and process aspects of AM techniques. [63,72-79] However, to our best knowledge, there are few review reports about the ink-based additive nanomanufacturing of functional materials for human-integrated smart wearables. To fill this gap, here we review the recent progress in ink-based

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“…A Trigno Wireless EMG System (Delsys Inc., Natick, Massachusetts, USA) was used to collect the EMG signals during stair climbing. EMG is a non-invasive technique for the assessment of the myoelectric signal [22] and useful for understanding muscle activity [23]. The EMG sensors were attached to the gastrocnemius lateralis (GL), gastrocnemius medialis (GM), soleus (SOL) and tibialis anterior (TA) of the participant's leg [24].…”

Section: Electromyogram (Emg) Signal Recording and Processingmentioning

confidence: 99%

Effect of Mechanical Stimulation Applied to the Lower-Limb Musculature on Stability and Function of Stair Climbing

Kwak

Kim

et al. 2020

Applied Sciences

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Mechanical muscle-tendon vibration affects musculature and the nervous system. As the vibrations used in previous studies were varied, consistently determining the effect of mechanical vibration was challenging. Additionally, only a few studies have applied vibrations to dynamic motion. This study investigated whether the vibration based on the sensorimotor response could affect the stability and function of stair climbing. Electroencephalogram (EEG) signals were recorded from the sensorimotor area, and mu rhythms, dependent on the vibration frequencies, were analyzed. Based on the analysis, the vibratory stimulus conditions were set and applied to the Achilles tendon of the lower limb during stair climbing. Simultaneously, electromyogram (EMG) signals from the gastrocnemius lateralis (GL), gastrocnemius medialis (GM), soleus (SOL), and tibialis anterior (TA) were recorded. Activations and co-activations of the shank muscles were analyzed according to the phases of stair climbing. When vibration was applied, the TA activation decreased in the pull-up (PU) phase, and calf muscle activations increased during the forward continuous (FCN) phase. These changes and their degrees differ significantly between stimulus conditions (p < 0.05). Co-activation changes, which differed significantly with conditions (p < 0.05), appeared mostly in the PU. These results imply that the vibration affects stability and function of stair climbing, suggesting that the vibration characteristics should be considered when they are applied to dynamic movement.

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A compact-sized surface EMG sensor for myoelectric hand prosthesis

Cited by 33 publications

References 40 publications

FSR and IMU sensors-based human gait phase detection and its correlation with EMG signal for different terrain walk

FSR and IMU sensors-based human gait phase detection and its correlation with EMG signal for different terrain walk

Ink‐Based Additive Nanomanufacturing of Functional Materials for Human‐Integrated Smart Wearables

Effect of Mechanical Stimulation Applied to the Lower-Limb Musculature on Stability and Function of Stair Climbing

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