Effects of wearable power assist device on low back fatigue during repetitive lifting tasks

Yin, Peng; Wang, Chao; Qu, Shengguan

doi:10.1016/j.clinbiomech.2019.07.023

Cited by 30 publications

(18 citation statements)

References 37 publications

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“…Physical fatigue was verified by the subjective feedback of the participants. In particular, seven and three included studies used the rating of perceived exertion (RPE) scale (Borg 6-20 scale) (Roja et al, 2006;Li et al, 2009;McDonald et al, 2016;Aryal et al, 2017;Yin et al, 2019;Umer et al, 2020;Anwer et al, 2020) and Borg CR-10 scale (Chan et al, 2012;Wong et al, 2014;Calvin et al, 2016) to report self-perceived physical fatigue, respectively. Seven included studies used researcher-designed, self-reported questionnaires to quantify physical fatigue Everett, 1999, 2002;Hsu et al, 2008;Chang et al, 2009;Mehta et al, 2017;Lee et al, 2017;Tsai, 2017), while six included studies simply asked the participants for the presence of fatigue (Anton et al, 2005;Bates and Schneider, 2008;Maiti, 2008;Das, 2014;Jankovský et al, 2018;Zhang et al, 2019).…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

“…Ten included studies used various chest band model devices to monitor HR Everett, 1999, 2002;Anton et al, 2005;Roja et al, 2006;Bates and Schneider, 2008;Maiti, 2008;Chang et al, 2009;Li et al, 2009;Chan et al, 2012;Wong et al, 2014). One study manually calculated HR using radial or carotid pulses (Das, 2014), while seven studies used different wearable devices to measure HR (Hsu et al, 2008;Aryal et al, 2017;Mehta et al, 2017;Lee et al, 2017;Jankovský et al, 2018;Yin et al, 2019;Umer et al, 2020;Anwer et al, 2020). Two studies used photo plethysmography-based wearable sensors to measure heart rate variability (Lee et al, 2017;Tsai, 2017).…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

“…To measure the skin temperature, infrared temperature sensors (Chan et al, 2012;Aryal et al, 2017), wearable sensors (Mehta et al, 2017;Umer et al, 2020), and tympanic thermometers were commonly used (Bates and Schneider, 2008). Similarly, different models of surface EMG devices were used to measure the root mean square amplitude and median frequency of EMG signals in the included studies to assess muscle fatigue during construction tasks (Anton et al, 2005;McDonald et al, 2016;Calvin et al, 2016;Yin et al, 2019). Additionally, wearable IMU-based motion capture systems were used to measure the jerk metric in one study (Zhang et al, 2019).…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

“…Previous research has suggested that continuous monitoring of muscle fatigue is feasible by measuring surface EMG activities of the target muscle during various tasks (Cifrek et al, 2009). Four included studies in the current review assessed muscle fatigue using surface EMG metrics (e.g., median frequency and root mean square amplitude) during repetitive tasks among construction workers (e.g., mason) and asymptomatic university students (Anton et al, 2005;McDonald et al, 2016;Calvin et al, 2016;Yin et al, 2019). McDonald et al (2016) examined the surface EMG activity of shoulder muscles during a simulated upper limb repetitive task.…”

Section: Emg Metricsmentioning

confidence: 99%

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Evaluation of Physiological Metrics as Real-Time Measurement of Physical Fatigue in Construction Workers: State-of-the-Art Review

Anwer

Antwi‐Afari

et al. 2021

J. Constr. Eng. Manage.

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Physical fatigue is a major health and safety related problem among construction workers. Many previous studies relied on interviews and/or questionnaire to assess physical fatigue in construction workers. However, these traditional methods are not only time consuming but also limited by recall bias. To overcome these limitations, many researchers have used physiological metrics (e.g., heart rate, heart rate variability, skin temperature, electromyographic activity, and jerk metrics) to measure real-time physical fatigue. While physiological metrics have shown promising results for realtime assessments of physical fatigue, no state-of-the-art review has been conducted to summarize various physiological metrics in measuring physical fatigue among construction workers. Therefore, the current state-of-the art review aimed to summarize existing evidence regarding the use of physiological metrics to measure physical fatigue of construction workers in real-time. This review used systematic searches to identify relevant studies and critically appraised the application of physiological metrics in measuring physical fatigue of construction workers. First, it summarized the application of various physiological metrics for real-time measurement of physical fatigue in construction workers. Second, various wearable sensing technologies for measuring physiological metrics were identified. Third, this review discussed the potential challenges for applying physiological metrics to measure physical fatigue. Finally, future research directions to advance the development and adoption of various physiological metrics to monitor and mitigate physical fatigue in construction workers were discussed.Anwer S, Li H, Antwi-Afari MF, Umer W, Wong AYL. Evaluation of physiological metrics as a real-time measurement of physical fatigue in construction workers: Stateof-the-Art Reviews. Journal of Construction Engineering and Management (Accepted) physiological metrics; (3) discuss potential challenges for using physiological metrics to measure physical fatigue in real-time; and (4) provide future research directions to advance the development and use of various physiological metrics to better monitor and mitigate physical fatigue among construction workers. Research MethodsThe research method section is divided into three subsections namely: literature search, selection criteria, and data extraction. Literature SearchThis review used a systematic approach to search relevant articles, and critically appraised the applications and features of different wearable sensing technologies, as well as summarized challenges of using physiological metrics to measure physical fatigue in construction workers. Five electronic databases (i.e., PubMed, Medline, CINAHL, EMBASE, and Web of Science) were searched from their inception to July 25, 2020. The first four databases contain many fatigue or ergonomic-related publications, while the Web of Science is a multidisciplinary database that contains construction-related journals (Gusenbauer and Haddaway, 2020). F...

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Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

Section: Emg Metricsmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of Physiological Metrics as Real-Time Measurement of Physical Fatigue in Construction Workers: State-of-the-Art Review

Anwer

Antwi‐Afari

et al. 2021

J. Constr. Eng. Manage.

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show abstract

“…Desde que las primeras industrias de manufactura iniciaron sus operaciones, el manejo manual de materiales (MMM) siempre ha sido una tarea que ha involucrado el uso intensivo de mano de obra debido al dinamismo de la tarea. Esta actividad ha causado muchas lesiones y una carga económica de más de 100 mil millones de dólares americanos por año en el caso de los Estados Unidos (1) . Esta carga económica incluye el costo médico y no médico, así como los costos directos y los costos intangibles (2) .…”

Section: Introductionunclassified

Análisis de la Frecuencia Cardiaca relacionada con las variables de altura y frecuencia en el Levantamiento de cargas

Saavedra-Robinson

Paredes-Astudillo

Quintana

2021

Arch Prev Riesgos Labor

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Objetivo: Analizar los efectos de las variables altura vertical y la frecuencia de levantamiento sobre la frecuencia cardiaca en trabajadores en la tarea de levantamiento de cargas. Método: Diseño experimental factorial con bloques, considerando como variables independientes la altura vertical y la frecuencia de levantamiento y la dependiente la frecuencia cardiaca. El experimento se desarrolló con 20 trabajadores entre 18 y 40 años con al menos seis meses de experiencia en tareas de almacén y empaque en una empresa de productos lácteos. Se calculó el coeficiente FRIMAT para determinar la carga fisiológica de la tarea. Resultados: Existe un efecto significativo sobre la respuesta de la frecuencia cardiaca debido a la interacción de la frecuencia y la altura vertical del levantamiento. Además, basados en el coeficiente FRIMAT, se obtuvo una calificación de “carga de trabajo mínima” para el 85% de los tratamientos, y en un tratamiento, se presentó una calificación de “algo difícil”. Conclusiones: La altura y frecuencia de levantamiento no actúan de manera independiente y tienen un efecto sobre la carga fisiológica del trabajador en el levantamiento manual de cargas manifestada en la frecuencia cardiaca.

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Using passive or active back-support exoskeletons during a repetitive lifting task: influence on cardiorespiratory parameters

et al. 2022

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Effects of wearable power assist device on low back fatigue during repetitive lifting tasks

Cited by 30 publications

References 37 publications

Evaluation of Physiological Metrics as Real-Time Measurement of Physical Fatigue in Construction Workers: State-of-the-Art Review

Evaluation of Physiological Metrics as Real-Time Measurement of Physical Fatigue in Construction Workers: State-of-the-Art Review

Análisis de la Frecuencia Cardiaca relacionada con las variables de altura y frecuencia en el Levantamiento de cargas

Using passive or active back-support exoskeletons during a repetitive lifting task: influence on cardiorespiratory parameters

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