Monitoring and fuzzy warning system for risk prevention of Guyon's canal syndrome

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50017261" target="_blank" >RIV/62690094:18450/21:50017261 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S174680942030358X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S174680942030358X?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.bspc.2020.102228" target="_blank" >10.1016/j.bspc.2020.102228</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Monitoring and fuzzy warning system for risk prevention of Guyon's canal syndrome

Popis výsledku v původním jazyce

Guyon&apos;s canal is a very small tunnel in the wrist where the ulnar nerve and ulnar artery are passing through. As it goes down from the canal, the ulnar nerve runs through the last two fingers and provides sensory innervation of the fifth and half of the fourth fingers. When it is trapped in Guyon&apos;s canal, due to continual compression or pressure, some symptoms could emerge, like feeling of pins and needles, numbness and decreased sensation. One of the characteristic reasons of Guyon&apos;s canal syndrome (GCS) is habitual misuse of computer keyboards that may cause constant pressure to the ulnar nerve. Therefore, in this paper, we present a novel methodology of monitoring and identification supported by a fuzzy warning system that warns the users to prevent from wrong wrist posture and to reduce the risks of GCS. From the images taken by a camera mounted on a laptop monitor, hands of the user are segmented for location of the exact wrist region. Afterwards, the angle of the wrist is estimated and subsequently a fuzzy-based warning system is triggered by the angle and the duration data. The results are greatly encouraging that the hands on the keyboards and wrist angles are perfectly identified; and depending on the duration and the angles of wrists, the warning system is generated correct signals to warn the users for changing their wrist posture. As an outstanding instance of artificial intelligence-based systems in ergonomic research, the monitoring system would help the users with the bad posture habit to reposition their wrist for wrist health. © 2020 Elsevier Ltd

Název v anglickém jazyce

Monitoring and fuzzy warning system for risk prevention of Guyon's canal syndrome

Popis výsledku anglicky

Guyon&apos;s canal is a very small tunnel in the wrist where the ulnar nerve and ulnar artery are passing through. As it goes down from the canal, the ulnar nerve runs through the last two fingers and provides sensory innervation of the fifth and half of the fourth fingers. When it is trapped in Guyon&apos;s canal, due to continual compression or pressure, some symptoms could emerge, like feeling of pins and needles, numbness and decreased sensation. One of the characteristic reasons of Guyon&apos;s canal syndrome (GCS) is habitual misuse of computer keyboards that may cause constant pressure to the ulnar nerve. Therefore, in this paper, we present a novel methodology of monitoring and identification supported by a fuzzy warning system that warns the users to prevent from wrong wrist posture and to reduce the risks of GCS. From the images taken by a camera mounted on a laptop monitor, hands of the user are segmented for location of the exact wrist region. Afterwards, the angle of the wrist is estimated and subsequently a fuzzy-based warning system is triggered by the angle and the duration data. The results are greatly encouraging that the hands on the keyboards and wrist angles are perfectly identified; and depending on the duration and the angles of wrists, the warning system is generated correct signals to warn the users for changing their wrist posture. As an outstanding instance of artificial intelligence-based systems in ergonomic research, the monitoring system would help the users with the bad posture habit to reposition their wrist for wrist health. © 2020 Elsevier Ltd

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Biomedical Signal Processing and Control

ISSN

1746-8094

e-ISSN

—

Svazek periodika

64

Číslo periodika v rámci svazku

February

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

"Article number 102228"

Kód UT WoS článku

000600894700008

EID výsledku v databázi Scopus

2-s2.0-85094321228