Cent Eur J Public Health 2017, 25(4):255-260 | DOI: 10.21101/cejph.a5105

A New Approach to the Evaluation of Local Muscular Load while Typing on a Keyboard

Anna Schlenker1,2, Tomáš Tichý3
1 Institute of Hygiene and Epidemiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
2 Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic
3 National Institute of Public Health, Prague, Czech Republic

Objective: The aim of this study was to assess the contribution of using keystroke dynamics (KD) in combination with integrated electromyography (iEMG) for the objective evaluation of local muscular load of hands and forearms while typing on a computer keyboard and to compare it with results of the commonly used method.

Method: Study was performed on 12 subjects. Data were collected using our own application for capturing KD data and using EMG Holter for detecting electromyographic potentials to determine local muscular load.

Results: The results of our study revealed that currently used methods for assessment of the workload while typing on a computer keyboard are not entirely accurate. In particular, the real total number of keystrokes performed during processing of a text is significantly higher than the count of characters the text is consisting of. In addition to this count, also the so-called invisible keys, keyboard shortcuts, and especially corrections in the typed text must be taken into consideration.

Conclusions: The results indicated that all probands in our study exceeded the valid hygienic limits for the total amount of the small repetitive movements of the hands and forearms and the total amount of the keyboard typing movements. Most of the probands in our study also exceeded the valid hygienic limit for the highest average time-weighted value of the percent maximum voluntary contraction (%MVC). This implies that the keystroke dynamics method has a great potential to increase the accuracy of evaluation of local muscular load when using the keyboard and thus to improve the existing methodology for investigation of occupational diseases resulting from overload while working on the computer.

Keywords: integrated electromyography, keystroke dynamics, local muscular load evaluation, hygienic limits, prevention of repetitive strain injury

Received: March 13, 2017; Revised: September 22, 2017; Published: December 30, 2017  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Schlenker A, Tichý T. A New Approach to the Evaluation of Local Muscular Load while Typing on a Keyboard. Cent Eur J Public Health. 2017;25(4):255-260. doi: 10.21101/cejph.a5105. PubMed PMID: 29346845.
Download citation

References

  1. Bůnová M, Váchal A. The unique tram called "Evička" carries passengers, you meet it on three lines. iDNES.cz [Internet]. Mafra [cited 2016 Feb 5]. Available from: http://praha.idnes.cz/tramvaj-evicka-vozi-cestujici-dk8-/praha-zpravy.aspx?c=A160205_120353_praha-zpravy_nub. (In Czech.)
  2. Reimer M. Identity authentication based on continuous keystroke dynamics [dissertation]. Kladno: České vysoké učení technické; 2015. (In Czech.)
  3. Schlenker A, Reimer M. Big Data in hospital information systems in the terms of security. In: Svačina Š, Zvárová J, editors. Semantic interoperability in biomedicine and healthcare. Prague: Charles University; 2015. p. 39-41.
  4. Schlenker A, Bohunčák A. Keystroke dynamics for security enhancement in hospital information systems. Int J Biomed Healthc. 2015;3(1):41-4.
  5. EMG Holter. Physiology of work [Internet]. GETA Centrum; 2015 [cited 2017 Feb 16]. Available from: http://fyziologie.getacentrum.cz/emg-holter/. (In Czech.)
  6. Venugopalan S, Juefei-Xu F, Cowley B, Savvides M. Electromyograph and keystroke dynamics for spoof-resistant biometric authentication. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2015); 2015 Jun 7-12; Boston, MA, USA. Curran Associates; 2016. p. 495-504. Go to original source...