Respiratory Inductance Plethysmography to Assess Fatigability During Repetitive Work

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2022 Jun 10

PMID 35684868

Authors

Luis Silva

Mariana Dias

Duarte Folgado

Maria Nunes

Praneeth Namburi

Brian Anthony

Diogo Carvalho

Miguel Carvalho

Elazer Edelman

Hugo Gamboa

Affiliations

Soon will be listed here.

Abstract

Cumulative fatigue during repetitive work is associated with occupational risk and productivity reduction. Usually, subjective measures or muscle activity are used for a cumulative evaluation; however, Industry 4.0 wearables allow overcoming the challenges observed in those methods. Thus, the aim of this study is to analyze alterations in respiratory inductance plethysmography (RIP) to measure the asynchrony between thorax and abdomen walls during repetitive work and its relationship with local fatigue. A total of 22 healthy participants (age: 27.0 ± 8.3 yrs; height: 1.72 ± 0.09 m; mass: 63.4 ± 12.9 kg) were recruited to perform a task that includes grabbing, moving, and placing a box in an upper and lower shelf. This task was repeated for 10 min in three trials with a fatigue protocol between them. Significant main effects were found from Baseline trial to the Fatigue trials (p < 0.001) for both RIP correlation and phase synchrony. Similar results were found for the activation amplitude of agonist muscle (p < 0.001), and to the muscle acting mainly as a joint stabilizer (p < 0.001). The latter showed a significant effect in predicting both RIP correlation and phase synchronization. Both RIP correlation and phase synchronization can be used for an overall fatigue assessment during repetitive work.

Citing Articles

Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning.

Davoudi Kakhki F, Vora H, Moghadam A Biosensors (Basel). 2025; 15(2).

PMID: 39996986 PMC: 11853325. DOI: 10.3390/bios15020084.

Towards the Instrumentation of Facemasks Used as Personal Protective Equipment for Unobtrusive Breathing Monitoring of Workers.

Pinnelli M, Presti D, Silvestri S, Setola R, Schena E, Massaroni C Sensors (Basel). 2024; 24(17).

PMID: 39275726 PMC: 11397801. DOI: 10.3390/s24175815.

A Wearable Upper Limb Exoskeleton System and Intelligent Control Strategy.

Wang Q, Chen C, Mu X, Wang H, Wang Z, Xu S Biomimetics (Basel). 2024; 9(3).

PMID: 38534814 PMC: 10968600. DOI: 10.3390/biomimetics9030129.

Biomechanical Assessments of the Upper Limb for Determining Fatigue, Strain and Effort from the Laboratory to the Industrial Working Place: A Systematic Review.

Brambilla C, Lavit Nicora M, Storm F, Reni G, Malosio M, Scano A Bioengineering (Basel). 2023; 10(4).

PMID: 37106632 PMC: 10135542. DOI: 10.3390/bioengineering10040445.

Investigating Stroke Effects on Respiratory Parameters Using a Wearable Device: A Pilot Study on Hemiplegic Patients.

Di Tocco J, Presti D, Zaltieri M, Bravi M, Morrone M, Sterzi S Sensors (Basel). 2022; 22(17).

PMID: 36081165 PMC: 9459881. DOI: 10.3390/s22176708.

References

Roussos C, Koutsoukou A . Respiratory failure. Eur Respir J Suppl. 2003; 47:3s-14s. DOI: 10.1183/09031936.03.00038503. View

Lowery M, Vaughan C, Nolan P, OMalley M . Spectral compression of the electromyographic signal due to decreasing muscle fiber conduction velocity. IEEE Trans Rehabil Eng. 2000; 8(3):353-61. DOI: 10.1109/86.867877. View

Sun S, Zheng X, Gong B, Garcia Paredes J, Ordieres-Mere J . Healthy Operator 4.0: A Human Cyber-Physical System Architecture for Smart Workplaces. Sensors (Basel). 2020; 20(7). PMC: 7180548. DOI: 10.3390/s20072011. View

Bosch T, de Looze M, Kingma I, Visser B, van Dieen J . Electromyographical manifestations of muscle fatigue during different levels of simulated light manual assembly work. J Electromyogr Kinesiol. 2008; 19(4):e246-56. DOI: 10.1016/j.jelekin.2008.04.014. View

Dahlqvist C, Enquist H, Lofqvist L, Nordander C . The effect of two types of maximal voluntary contraction and two electrode positions in field recordings of forearm extensor muscle activity during hotel room cleaning. Int J Occup Saf Ergon. 2019; 26(3):595-602. DOI: 10.1080/10803548.2019.1599572. View

Hagberg M . The amplitude distribution of surface EMG in static and intermittent static muscular performance. Eur J Appl Physiol Occup Physiol. 1979; 40(4):265-72. DOI: 10.1007/BF00421518. View

Goethel M, Goncalves M, Brietzke C, Cardozo A, Vilas-Boas J, Ervilha U . A global view on how local muscular fatigue affects human performance. Proc Natl Acad Sci U S A. 2020; 117(33):19866-19872. PMC: 7443896. DOI: 10.1073/pnas.2007579117. View

Preisser A, Zhou L, Velasco Garrido M, Harth V . Measured by the oxygen uptake in the field, the work of refuse collectors is particularly hard work: Are the limit values for physical endurance workload too low?. Int Arch Occup Environ Health. 2015; 89(2):211-20. PMC: 4724371. DOI: 10.1007/s00420-015-1064-8. View

Schleifer L, Ley R, Spalding T . A hyperventilation theory of job stress and musculoskeletal disorders. Am J Ind Med. 2002; 41(5):420-32. DOI: 10.1002/ajim.10061. View

10.

Ren X, Yu B, Lu Y, Zhang B, Hu J, Brombacher A . LightSit: An Unobtrusive Health-Promoting System for Relaxation and Fitness Microbreaks at Work. Sensors (Basel). 2019; 19(9). PMC: 6539361. DOI: 10.3390/s19092162. View

11.

Tse C, McDonald A, Keir P . Adaptations to isolated shoulder fatigue during simulated repetitive work. Part I: Fatigue. J Electromyogr Kinesiol. 2015; 29:34-41. DOI: 10.1016/j.jelekin.2015.07.003. View

12.

Carroll T, Taylor J, Gandevia S . Recovery of central and peripheral neuromuscular fatigue after exercise. J Appl Physiol (1985). 2016; 122(5):1068-1076. DOI: 10.1152/japplphysiol.00775.2016. View

13.

Minelli A, Di Palma M, Rocchi M, Ponzio E, Barbadoro P, Bracci M . Cortisol, chronotype, and coping styles as determinants of tolerance of nursing staff to rotating shift work. Chronobiol Int. 2021; 38(5):666-680. DOI: 10.1080/07420528.2021.1887883. View

14.

Dennerlein J, Ciriello V, Kerin K, Johnson P . Fatigue in the forearm resulting from low-level repetitive ulnar deviation. AIHA J (Fairfax, Va). 2003; 64(6):799-805. DOI: 10.1202/515.1. View

15.

Finsterer J . Biomarkers of peripheral muscle fatigue during exercise. BMC Musculoskelet Disord. 2012; 13:218. PMC: 3534479. DOI: 10.1186/1471-2474-13-218. View

16.

Christensen H . Muscle activity and fatigue in the shoulder muscles during repetitive work. An electromyographic study. Eur J Appl Physiol Occup Physiol. 1986; 54(6):596-601. DOI: 10.1007/BF00943347. View

17.

Celli B, Criner G, Rassulo J . Ventilatory muscle recruitment during unsupported arm exercise in normal subjects. J Appl Physiol (1985). 1988; 64(5):1936-41. DOI: 10.1152/jappl.1988.64.5.1936. View

18.

Weiner P, Suo J, Fernandez E, CHERNIACK R . Efficiency of the respiratory muscles in healthy individuals. Am Rev Respir Dis. 1989; 140(2):392-6. DOI: 10.1164/ajrccm/140.2.392. View

19.

Davis J . Central and peripheral factors in fatigue. J Sports Sci. 1995; 13 Spec No:S49-53. DOI: 10.1080/02640419508732277. View

20.

Koshy K, Syed H, Luckiewicz A, Alsoof D, Koshy G, Harry L . Interventions to improve ergonomics in the operating theatre: A systematic review of ergonomics training and intra-operative microbreaks. Ann Med Surg (Lond). 2020; 55:135-142. PMC: 7251302. DOI: 10.1016/j.amsu.2020.02.008. View