scholarly journals A Systematic Review of EMG Applications for the Characterization of Forearm and Hand Muscle Activity during Activities of Daily Living: Results, Challenges, and Open Issues

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3035
Author(s):  
Néstor J. Jarque-Bou ◽  
Joaquín L. Sancho-Bru ◽  
Margarita Vergara
Keyword(s):  
Activities Of Daily Living ◽  
Musculoskeletal System ◽  
Muscle Activity ◽  
Daily Living ◽  
Muscle Activation ◽  
Human Hand ◽  
Hand Motion ◽  
Biomechanical Models ◽  
Rehabilitation Protocols ◽  
Open Issues

The role of the hand is crucial for the performance of activities of daily living, thereby ensuring a full and autonomous life. Its motion is controlled by a complex musculoskeletal system of approximately 38 muscles. Therefore, measuring and interpreting the muscle activation signals that drive hand motion is of great importance in many scientific domains, such as neuroscience, rehabilitation, physiotherapy, robotics, prosthetics, and biomechanics. Electromyography (EMG) can be used to carry out the neuromuscular characterization, but it is cumbersome because of the complexity of the musculoskeletal system of the forearm and hand. This paper reviews the main studies in which EMG has been applied to characterize the muscle activity of the forearm and hand during activities of daily living, with special attention to muscle synergies, which are thought to be used by the nervous system to simplify the control of the numerous muscles by actuating them in task-relevant subgroups. The state of the art of the current results are presented, which may help to guide and foster progress in many scientific domains. Furthermore, the most important challenges and open issues are identified in order to achieve a better understanding of human hand behavior, improve rehabilitation protocols, more intuitive control of prostheses, and more realistic biomechanical models.

Assessment of hand function during activities of daily living using motion tracking cameras: A systematic review

2019 ◽  
Vol 233 (8) ◽  
pp. 764-783 ◽  
Author(s):  
Lisa Reissner ◽  
Gabriella Fischer ◽  
Renate List ◽  
Pietro Giovanoli ◽  
Maurizio Calcagni
Keyword(s):  
Systematic Review ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Motion Tracking ◽  
Hand Function ◽  
Body Part ◽  
The Body ◽  
Human Hand ◽  
3D Motion Analysis ◽  
Human Kinematics

The human hand is the most frequently used body part in activities of daily living. With its complex anatomical structure and the small size compared to the body, assessing the functional capability is highly challenging. The aim of this review was to provide a systematic overview on currently available 3D motion analysis based on skin markers for the assessment of hand function during activities of daily living. It is focused on methodology rather than results. A systematic review according to the PRISMA guidelines was performed. The systematic search yielded 1349 discrete articles. Of 147 articles included on basis of title, 123 were excluded after abstract review, and 24 were included in the full-text analysis with 13 key articles. There is still limited knowledge about hand and finger kinematics during activities of daily living. A standardization of the task is required in order to overcome the nonrepetitive nature and high variability of upper limb motion and ensure repeatability of task performance. To yield a progress in the analysis of human hand movements, an assessment of human kinematics including fingers, wrist, and thumb and an identification of relevant parameters that characterize a healthy motion pattern during functional tasks are needed.

scholarly journals Differences in unilateral chest press muscle activation and kinematics on a stable versus unstable surface while holding one versus two dumbbells

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1365 ◽  
Author(s):  
Jeffrey M. Patterson ◽  
Andrew D. Vigotsky ◽  
Nicole E. Oppenheimer ◽  
Erin H. Feser
Keyword(s):  
Activities Of Daily Living ◽  
Range Of Motion ◽  
Daily Living ◽  
Muscle Activation ◽  
Bench Press ◽  
Emg Amplitude ◽  
Unstable Surface ◽  
Shoulder Complex ◽  
External Oblique ◽  
Internal Oblique

Training the bench press exercise on a traditional flat bench does not induce a level of instability as seen in sport movements and activities of daily living. Twenty participants were recruited to test two forms of instability: using one dumbbell rather than two and lifting on the COR bench compared to a flat bench. Electromyography (EMG) amplitudes of the pectoralis major, middle trapezius, external oblique, and internal oblique were recorded and compared. Differences in range of motion (ROM) were evaluated by measuring an angular representation of the shoulder complex. Four separate conditions of unilateral bench press were tested while lifting on a: flat bench with one dumbbell, flat bench with two dumbbells, COR Bench with one dumbbell, and COR Bench with two dumbbells. The results imply that there are no differences in EMG amplitude or ROM between the COR bench and traditional bench. However, greater ROM was found to be utilized in the single dumbbell condition, both in the COR bench and the flat bench.

scholarly journals A Novel Setup and Protocol to Measure the Range of Motion of the Wrist and the Hand

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3230 ◽  
Author(s):  
Kostas Nizamis ◽  
Noortje Rijken ◽  
Ana Mendes ◽  
Mariska Janssen ◽  
Arjen Bergsma ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Daily Living ◽  
High Reliability ◽  
Human Hand ◽  
Motion Sensor ◽  
Leap Motion ◽  
Large Decrease ◽  
Hand Rehabilitation ◽  
Rehabilitation Protocols

The human hand is important for the performance of activities of daily living which are directly related to quality of life. Various conditions, such as Duchenne muscular dystrophy (DMD) can affect the function of the human hand and wrist. The ability to assess the impairment in the hand and the wrist by measuring the range of motion (ROM), is essential for the development of effective rehabilitation protocols. Currently the clinical standard is the goniometer. In this study we explore the feasibility and reliability of an optical sensor (Leap motion sensor) in measuring active hand/wrist ROM. We measured the hand/wrist ROM of 20 healthy adults with the goniometer and the Leap motion sensor, in order to check the agreement between the two methods and additionally, we performed a test-retest of the Leap motion sensor with 12 of them, to assess its reliability. The results suggest low agreement between the goniometer and the leap motion sensor, yet showing a large decrease in measurement time and high reliability when using the later. Despite the low agreement between the two methods, we believe that the Leap motion sensor shows potential to contribute to the development of hand rehabilitation protocols and be used with patients in a clinical setting.

Simulation of Movement in Three-Dimensional Musculoskeletal Human Lumbar Spine Using Directional Encoding-Based Neurocontrollers

2014 ◽  
Vol 136 (9) ◽  
Author(s):  
Bahman Nasseroleslami ◽  
Gholamreza Vossoughi ◽  
Mehrdad Boroushaki ◽  
Mohamad Parnianpour
Keyword(s):  
Lumbar Spine ◽  
Musculoskeletal System ◽  
Muscle Activity ◽  
Muscle Activation ◽  
Activity Patterns ◽  
Sensory Information ◽  
Model Parameters ◽  
Directional Information ◽  
Muscle Activation Patterns ◽  
Human Lumbar Spine

Despite development of accurate musculoskeletal models for human lumbar spine, the methods for prediction of muscle activity patterns in movements lack proper association with corresponding sensorimotor integrations. This paper uses the directional information of the Jacobian of the musculoskeletal system to orchestrate adaptive critic-based fuzzy neural controller modules for controlling a complex nonlinear redundant musculoskeletal system. The proposed controller is used to control a 3D 3-degree of freedom (DOF) musculoskeletal model of trunk, actuated by 18 muscles. The controller is capable of learning to control from sensory information, without relying on pre-assumed model parameters. Simulation results show satisfactory tracking of movements and the simulated muscle activation patterns conform to previous EMG experiments and optimization studies. The proposed controller can be used as a computationally inexpensive muscle activity generator to distinguish between neural and mechanical contributions to movement and for study of sensory versus motor origins of motor function and dysfunction in human spine.

scholarly journals Dataset of Tactile Signatures of the Human Right Hand in Twenty-One Activities of Daily Living Using a High Spatial Resolution Pressure Sensor

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2594
Author(s):  
Javier Cepriá-Bernal ◽  
Antonio Pérez-González
Keyword(s):  
Activities Of Daily Living ◽  
Spatial Resolution ◽  
Pressure Sensor ◽  
Daily Living ◽  
Grip Force ◽  
High Spatial Resolution ◽  
Contact Forces ◽  
Human Hand ◽  
Human Right ◽  
Effective Use

Successful grasping with multi-fingered prosthetic or robotic hands remains a challenge to be solved for the effective use of these hands in unstructured environments. To this end, currently available tactile sensors need to improve their sensitivity, robustness, and spatial resolution, but a better knowledge of the distribution of contact forces in the human hand in grasping tasks is also necessary. The human tactile signatures can inform models for an efficient control of the artificial hands. In this study we present and analyze a dataset of tactile signatures of the human hand in twenty-one representative activities of daily living, obtained using a commercial high spatial resolution pressure sensor. The experiments were repeated for twenty-two subjects. The whole dataset includes more than one hundred million pressure data. The effect of the task and the subject on the grip force and the contribution to this grip force made by the different hand regions were analyzed. We also propose a method to effectively synchronize the measurements from different subjects and a method to represent the tactile signature of each task, highlighting the hand regions mainly involved in the task. The correlations between hand regions and between different tasks were also analyzed.

Quantification of the Ranges of Motion of the CMC Joints of the 4th and 5th Digits of the Human Hand In Vivo Using Computed Tomography

2012 ◽  
Author(s):  
James Buffi ◽  
James Hoover ◽  
Joseph J. Crisco ◽  
Wendy M. Murray
Keyword(s):  
Computed Tomography ◽  
Activities Of Daily Living ◽  
Grip Strength ◽  
Daily Living ◽  
Carpal Bones ◽  
Human Hand ◽  
Metacarpal Bones ◽  
Precision Grasping

Over 80% of activities of daily living involve grasping or seizing objects with the hand [1]. The carpometacarpal (CMC) joints of the hand and wrist, the five joints that articulate the distal row of carpal bones and the proximal bases of the five metacarpal bones, are particularly important for prehensile tasks involving the opposition of the ring and little fingers with the thumb, such as during precision grasping. In addition, impairment of the CMC joints can weaken grip strength [2].

Sign in / Sign up

Export Citation Format

Share Document