Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Sensorbaserad riskbedömning av belastningsbesvär
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
2017 (Swedish)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesisAlternative title
Sensor-based risk assessment of musculoskeletal disorders (English)
Abstract [sv]

Belastningsskador är idag ett allt större problem i samhället som leder till flera sociala och ekonomiska problem. Tillsammans med en ökande ålder på befolkningen kan belastningsbesvär skapa ännu mer utmaningar i framtiden. Att utöka kunskapen om ergonomi är ett bra sätt att minska risken för att drabbas av belastningsskador. Idag används primärt en visuell bedömning av ergonomi, men varje bedömning är individuella och inte konsistenta. Tillgängligheten av små och billiga Inertial Measurement Unit (IMU) har ökat möjligheten att mäta objektivt istället för subjektivt.

I detta exjobb har Texas Instruments SensorTag CC2650 använts som sensor, då den är billig och har många inbyggda sensorer där den 9-axliga rörelsesensorn var den eftersökta. En webbaserad utvecklingsmiljö kallad Node-RED användes för utveckling av en prototyp och sensorn kopplades till en smarttelefon tillsammans med Texas Instruments egna applikation. Data från sensorn skickades från smarttelefonen till webbapplikationen. Mätningar utfördes på en arm för att mäta belastningen på en axel, när handens position passerade axelns höjd finns det risk för belastningsskador efter en längre tid. För att beräkna vinkel av armen användes accelerometer samt gyroskop tillsammans med ett komplementärt filter.

Prototypen testades i flera tester, där ena testet undersökte en högre risk t.ex. rita på en tavla samt lägre risk t.ex. papperssortering. Det visade sig att sensorn är kapabel att utföra bedömningar av belastningsriskerna. Men det finns kända begränsningar i form av låg samplingshastighet på 5 Hz (begränsningar i Texas Instruments applikation). Nästa steg för vidare arbete är att lägga till en magnetometer till prototypens sensor fusion och undersöka dess tillförlitlighet.

Abstract [en]

Musculoskeletal disorders (MSD) is a rising problem in society leading to several socio-economic problems. In combination of the trend of an aging population, MSD can cause even more challenges in the future. Expanding the knowledge of ergonomics is a good way to reduce the risk of stress injury. Today, a visual assessment of ergonomics is primarily used. These observations are individual and not consistent. Availability of cheaper and smaller Inertial Measurement Unit (IMU) has increased the possibility of using objective measurements instead of subjective observations.

In this thesis work, the Texas Instruments SensorTag CC2650 was used as a sensor, because it is cheap and has many built-in sensors where the 9-axis motion sensor was the most sought one. A web-based development environment called Node-RED was used to develop a prototype and the sensor was connected to a smartphone along with Texas Instruments own application. The data from the sensor was sent from the smartphone to the web application. Measurements were performed on an arm to measure the load on a shoulder, when the hand's position passed the height of the shoulder it indicates that there is a risk of musculoskeletal disorders after an amount of time. To calculate the angle of the arm, sensor fusion of an accelerometer and a gyroscope were used together with a complementary filter.

Developed system was evaluated by series of tasks exposing the shoulder to a higher risk e.g., painting compare to lower risk tasks e.g., paper sorting. It turned out that measurement are useful for assessment of the risk. However, there are known limitations like low sampling rate of 5Hz (due to limitation in the android app from Texas Instruments). Adding magnetometer to the sensor fusion and evaluation of reliability of calculations are the next natural steps for future work.

Place, publisher, year, edition, pages
2017. , p. 48
Series
TRITA-STH ; 2017:43
Keywords [en]
Ergonomics, sensor, SensorTag, IMU, posture, gyroscope, accelerometer, Node-RED, Internet of Things
Keywords [sv]
Ergonomi, sensor, SensorTag, IMU, hållning, gyroskop, accelerometer, Node-Red, Internet of Things
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-209011OAI: oai:DiVA.org:kth-209011DiVA, id: diva2:1109684
Subject / course
Electronic- and Computer Systems
Educational program
Bachelor of Science in Engineering - Electrical Engineering
Supervisors
Examiners
Available from: 2017-06-16 Created: 2017-06-14 Last updated: 2017-06-16Bibliographically approved

Open Access in DiVA

Rapport exjobb(1754 kB)35 downloads
File information
File name FULLTEXT01.pdfFile size 1754 kBChecksum SHA-512
939a120cbbc17491a355b1a40f88e7499d457ec1431b8eede45963d06723b61a7083977dac02fa441f35fe81310afd95f627b67d5336c62cc71fd05f92a2d4c7
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Papadakis, AlexanderFalge, Emil
By organisation
Computer and Electronic Engineering
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 35 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 501 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf