scholarly journals Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4202 ◽  
Author(s):  
Roldán Jiménez ◽  
Bennett ◽  
Ortiz García ◽  
Cuesta Vargas
Keyword(s):  
Surface Electromyography ◽  
Detection System ◽  
Muscular Activity ◽  
Relative Energy ◽  
Lower Limbs ◽  
Trunk Muscles ◽  
Discrete Wavelet ◽  
Sit To Stand ◽  
Emg Signal

The latest studies of the 30-second sit-to-stand (30-STS) test aim to describe it by employing kinematic variables, muscular activity, or fatigue through electromyography (EMG) instead of a number of repetitions. The aim of the present study was to develop a detection system based on acceleration measured using a smartphone to analyze fatigue during the 30-STS test with surface electromyography as the criterion. This case study was carried out on one woman, who performed eight trials. EMG data from the lower limbs and trunk muscles, as well as trunk acceleration were recorded. Both signals from eight trials were preprocessed, being averaged and temporarily aligned. The EMG signal was processed, calculating the spectral centroid (SC) by Discrete Fourier Transform, while the acceleration signal was processed by Discrete Wavelet Transform to calculate its energy percentage. Regarding EMG, fatigue in the vastus medialis of the quadriceps appeared as a decrease in SC, with a descending slope of 12% at second 12, indicating fatigue. However, acceleration analysis showed an increase in the percentage of relative energy, acting like fatigue firing at second 19. This assessed fatigue according to two variables of a different nature. The results will help clinicians to obtain information about fatigue using an accessible and inexpensive device, i.e., as a smartphone.

THE EFFECT OF MUSCLE STRENGTH AND AEROBIC FUNCTION IN THE ELDERLY ACCORDING TO EXERCISE LOAD PATTERN USING INDOOR SMALL CYCLING SYSTEM

2018 ◽  
Vol 18 (08) ◽  
pp. 1840040
Author(s):  
SEUNG-ROK KANG ◽  
YOUNG-CHOON LEE ◽  
CHUL-UN HONG ◽  
CHANG HO YU ◽  
TAE-KYU KWON
Keyword(s):  
Oxygen Consumption ◽  
Muscle Strength ◽  
Muscular Activity ◽  
The Elderly ◽  
Gas Analysis ◽  
Lower Limbs ◽  
Trunk Muscles ◽  
Exercise Load ◽  
Cycle System ◽  
Aerobic Function

We were investigating the muscle strength and aerobic function effect on the aged according to active and passive load using compact cycle system. We recruited twenty old participants and they performed shoulder rotating, upper cycling and lower cycling exercise. We measured the muscular activity, respiratory gas analysis and body heat. The result of muscular activity showed that the passive load could cause muscular activity at 15.4–65.9% compared to active load. We thought that the passive exercise could provide the prevention of spasticity and maintain effect of remaining muscle function in the elderly by caused muscular activity over 50%. The result of oxygen consumption showed that it is the active exercise that used the bigger oxygen consumption at 42.4% during lower cycling. We thought that the active exercise used the big muscles of lower limbs including trunk muscles during lower cycling. The result of body temperature showed that it rises with increase in oxygen consumption and heart rate, and it increased the bigger for lower cycling. The foundation of this study could apply to fundamental research for developing exercise load of indoor rehabilitation exercise system with convenience and easy use to the elderly.

Sit-to-Stand Muscular Activity for Different Seat Backrest Inclination Levels and Execution Speeds

Motor Control ◽  
2020 ◽  
Vol 24 (4) ◽  
pp. 527-542
Author(s):  
Nadège Tebbache ◽  
Alain Hamaoui
Keyword(s):  
Muscular Activity ◽  
Surface Emg ◽  
Activity Level ◽  
Lower Limbs ◽  
Whole Body ◽  
Trunk Flexion ◽  
Sit To Stand ◽  
Maximal Speed ◽  
Execution Speed ◽  
Increased Activity

The sit-to-stand transfer can be separated into a postural phase (trunk flexion) and a focal phase (whole-body extension). The aim of this study was to analyze the as yet little known whole-body muscular activity characterizing each phase of this task and its variations with backrest inclination and execution speed. Fifteen muscles of the trunk and lower limbs of 10 participants were investigated using surface EMG. Results showed that backrest-induced modifications were mostly confined to the postural phase: reclining the backrest increased its duration and the activity level of the sternocleidomastoideus, the rectus and obliquus externus abdominis, and the semitendinosus. Speed-induced variations were also predominant during the postural phase, which was shortened with an increased activity of most muscles at maximal speed.

scholarly journals Muscular Activity and Fatigue in Lower-Limb and Trunk Muscles during Different Sit-To-Stand Tests

PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0141675 ◽  
Author(s):  
Cristina Roldán-Jiménez ◽  
Paul Bennett ◽  
Antonio I. Cuesta-Vargas
Keyword(s):  
Lower Limb ◽  
Muscular Activity ◽  
Trunk Muscles ◽  
Sit To Stand

scholarly journals Clinical Use of Surface Electromyography to Track Acute Upper Extremity Muscle Recovery after Stroke: A Descriptive Case Study of a Single Patient

2021 ◽  
Vol 4 (2) ◽  
pp. 32
Author(s):  
Heather A. Feldner ◽  
Christina Papazian ◽  
Keshia M. Peters ◽  
Claire J. Creutzfeldt ◽  
Katherine M. Steele
Keyword(s):  
Muscle Activity ◽  
Surface Electromyography ◽  
Inpatient Rehabilitation ◽  
Stroke Survivor ◽  
Structured Interview ◽  
Routine Care ◽  
Stroke Recovery ◽  
Descriptive Case Study ◽  
Sensing Technology

Arm recovery varies greatly among stroke survivors. Wearable surface electromyography (sEMG) sensors have been used to track recovery in research; however, sEMG is rarely used within acute and subacute clinical settings. The purpose of this case study was to describe the use of wireless sEMG sensors to examine changes in muscle activity during acute and subacute phases of stroke recovery, and understand the participant’s perceptions of sEMG monitoring. Beginning three days post-stroke, one stroke survivor wore five wireless sEMG sensors on his involved arm for three to four hours, every one to three days. Muscle activity was tracked during routine care in the acute setting through discharge from inpatient rehabilitation. Three- and eight-month follow-up sessions were completed in the community. Activity logs were completed each session, and a semi-structured interview occurred at the final session. The longitudinal monitoring of muscle and movement recovery in the clinic and community was feasible using sEMG sensors. The participant and medical team felt monitoring was unobtrusive, interesting, and motivating for recovery, but desired greater in-session feedback to inform rehabilitation. While barriers in equipment and signal quality still exist, capitalizing on wearable sensing technology in the clinic holds promise for enabling personalized stroke recovery.

scholarly journals Musculoskeletal biomechanics in sit-to-stand and stand-to-sit activities with stroke subjects: a systematic review

2010 ◽  
Vol 23 (1) ◽  
pp. 35-52 ◽  
Author(s):  
Christina Danielli Coelho de Morais Faria ◽  
Viviane Amaral Saliba ◽  
Luci Fuscaldi Teixeira-Salmela
Keyword(s):  
Systematic Review ◽  
Methodological Quality ◽  
Weight Bearing ◽  
Experimental Studies ◽  
Quality Parameters ◽  
Lower Limbs ◽  
Extensive Literature ◽  
Manual Search ◽  
Sit To Stand ◽  
Extensive Literature Search

INTRODUCTION: Sit-to-stand and stand-to-sit are two of the most mechanically demanding activities undertaken in daily life and which are usually impaired in stroke subjects. OBJECTIVES: To determine the distinguishing characteristics in musculoskeletal biomechanical outcomes of the sit-to-stand and stand-to-sit activities with stroke subjects, with an emphasis on the clinical management of stroke disabilities, in a systematic review. MATERIAL AND METHODS: An extensive literature search was performed with the MEDLINE, CINAHL, EMBASE, PEDro, LILACS, and SciELO databases, followed by a manual search, to select studies on musculoskeletal biomechanical outcomes in both activities with stroke subjects, without language restrictions, and published until December/2007. RESULTS: Out of the 432 studies, only 11 reported biomechanical outcomes of both activities and none reached the total score on the selected quality parameters. The majority of the experimental studies which compared groups did not achieve acceptable scores on their methodological quality (PEDRo). The investigated conditions and interventions were also restricted. Only one study compared biomechanical outcomes between the activities, but only evaluated the time spent to perform them. Few musculoskeletal biomechanical outcomes have been investigated, being weight bearing on the lower limbs and duration of the activities the most investigated. CONCLUSION: There is little information regarding musculoskeletal biomechanical outcomes during these activities with stroke subjects and no definite conclusions can be drawn regarding the particularities of these outcomes on their performance with stroke survivors.

The Use of Surface Electromyography in Biomechanics

1997 ◽  
Vol 13 (2) ◽  
pp. 135-163 ◽  
Author(s):  
Carlo J. De Luca
Keyword(s):  
Surface Electromyography ◽  
International Agreement ◽  
Fatigue Index ◽  
Detection Analysis ◽  
Emg Signal ◽  
Measured Force ◽  
Technical Considerations

This lecture explores the various uses of surface electromyography in the field of biomechanics. Three groups of applications are considered: those involving the activation timing of muscles, the force/EMG signal relationship, and the use of the EMG signal as a fatigue index. Technical considerations for recording the EMG signal with maximal fidelity are reviewed, and a compendium of all known factors that affect the information contained in the EMG signal is presented. Questions are posed to guide the practitioner in the proper use of surface electromyography. Sixteen recommendations are made regarding the proper detection, analysis, and interpretation of the EMG signal and measured force. Sixteen outstanding problems that present the greatest challenges to the advancement of surface electromyography are put forward for consideration. Finally, a plea is made for arriving at an international agreement on procedures commonly used in electromyography and biomechanics.

scholarly journals A rare case of post COVID-19 hemophagocytic lymphohistiocytosis in a pediatric patient

2021 ◽  
Vol 156 (Supplement_1) ◽  
pp. S93-S93
Author(s):  
A Rjoop ◽  
M Barukba ◽  
O Al Rusan
Keyword(s):  
Bone Marrow ◽  
Hemophagocytic Lymphohistiocytosis ◽  
Bone Marrow Aspirate ◽  
Viral Infections ◽  
Nk Cell ◽  
T Cell Response ◽  
Lower Limbs ◽  
Inflammatory Conditions ◽  
Special Stain

Abstract Introduction/Objective Hemophagocytic Syndromes are a cluster of disorders related to cytotoxic dysfunction of T/NK-cells and are mainly subdivided into Primary (familial) and Secondary (acquired) forms, with the latter usually linked to patients with viral infections; including EBV, CMV among many others. A myriad of other causes have been associated with hemophagocytic lymphohistiocytosis (HLH), most notably systemic inflammatory conditions; especially Juvenile Rheumatoid Arthritis and hematolymphoid malignancies particularly T/NK-cell lymphomas. Methods/Case Report A previously healthy 7-year-old boy, presented to the ER with fever and a skin rash over both lower limbs of 1 week duration. Two weeks prior he was tested for COVID-19 and was found to be positive. Physical examination further revealed slightly palpable liver and spleen. CBC was done and exhibited pancytopenia, further testing showed elevated LDH, hyperferritinemia and hypertriglyceridemia. However, serological testing for rheumatological conditions was unremarkable. Imaging studies were done and were noncontributory. Subsequently, a bone marrow aspirate and biopsy were done. The bone marrow aspirate showed afew histiocytes engulfing red blood cells and nuclear debris (hemophagocytic cells), complete trilineage maturation and normal M:E ratio of 3:1. Trephine biopsy was hypocellular for age and estimated at about 70%, composed of myeloid and erythroid precursors with various degrees of maturation. Megakaryocytes were adequate in number and showed normal morphology. Extensive histiocytic infiltration as highlighted by CD68 immunostain and focal phagocytosis were identified. CD34 highlighted <5% blasts, PAS special stain showed no fungal elements and no fibrosis was evident by Reticulin special stain. The background was devoid of lymphoid aggregates or granulomas. Stainable iron stores were depleted. No sideroblasts were identified. The patient was treated with corticosteroid and showed marked improvement and was discharged after 3 days. Results (if a Case Study enter NA) NA Conclusion Hemophagocytic lymphohistiocytosis can be a critical sequela of COVID-19 infection. Suggested mechanisms include impaired/delayed T-cell response and elevated levels of several inflammatory cytokines. Clinical suspesion is important in the diagnosis of these cases. Further study of this correlation is needed as we explore clinical sequelae of COVID-19 infection.

scholarly journals Light Sleep Detection based on Surface Electromyography Signals for Nap Monitoring

2022 ◽  
Vol 16 ◽  
pp. 140-145
Author(s):  
Wachiraporn Aiamklin ◽  
Yutana Jewajinda ◽  
Yunyong Punsawad
Keyword(s):  
Surface Electromyography ◽  
Sleep Stage ◽  
Low Cost ◽  
Trapezius Muscle ◽  
Sleep Stages ◽  
Upper Trapezius ◽  
Emg Signal ◽  
Power Frequency ◽  
Upper Trapezius Muscle ◽  
Waking Up

This paper proposes the development of automatic sleep stage detection by using physiological signals. We aim to develop an application to assist drivers after drowsiness or fatigue detection by a commercial driver vigilance system. The proposed method used a low-cost surface electromyography (EMG) device for sleep stage detection. We investigate skeletal muscle location and EMG features from sleep stage 2 to provide an EMG-based nap monitoring system. The results showed that using only one channel of a bipolar EMG signal from an upper trapezius muscle with median power frequency can achieve 84% accuracy. We implement a MyoWare muscle sensor into the proposed nap monitoring device. The results showed that the proposed system is feasible for detecting sleep stages and waking up the napper. A combination of EMG and electroencephalogram (EEG) signals might be yield a high system performance for nap monitoring and alarm system. We will prototype a portable device to connect the application to a smartphone and test with a target group, such as truck drivers and physicians.

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