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  • 51.
    Hellstrom, Per Anders Rickard
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Åkerberg, Anna
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Ekström, Martin
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Folke, Mia
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Walking Intensity Estimation with a Portable Pedobarography System2016In: Studies in Health Technology and Informatics, IOS Press , 2016, Vol. 224, p. 27-32Conference paper (Refereed)
    Abstract [en]

    The aim of this pilot study was to investigate the possibility to find a correlation between the output from a portable pedobarography system and the walking intensity expressed as walking speed. The system uses shoe insoles with force sensing resistors and wireless transmission of the data via Bluetooth. The force-time integral, at the toe-off phase of the step, for the force sensors in the forward part of the right foot was used to measure impulse data for 10 subjects performing walks in three different walking speeds. This data was then corrected by multiplication with the step frequency. This pilot study indicates that the portable pedobarography system output shows a linear relationship with the walking intensity expressed as walking speed on an individual level.

  • 52.
    Hellstrom, Per Anders Rickard
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Åkerberg, Anna
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Folke, Mia
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Posture Sensor as Feedback when Lifting Weights2015Conference paper (Refereed)
    Abstract [en]

    Introduction

    When lifting a package or during strength training, right posture of the back is important to avoid back pain. Different sensor solutions to measure posture of the back are presented in research articles and patents. The aim of this study was to investigate the possibility of using Lumo Lift as a device of giving feedback of good posture when lifting weights.

    Method

    Lumo Lift (Lumo Body Tech, Inc, USA) is an activity tracker aimed to for example guide the carrier to good posture. The small device is attached to the clothes using a magnetic clasp. It is calibrated to the user's good posture and vibrates when the posture is inaccurate. In this study the angle, in which the Lumo Lift is allowed to tilt before the device vibrates, was investigated. The device was placed at the top of a ruler and calibrated in upright position. Thereafter the ruler was tilted and the angle when the equipment vibrated was noted. Two different speeds of the tilts were performed. One speed simulating the normal speed of an inaccurate tilting torso when lifting weights. And one slow speed. Two Lumo Lifts were tilted 20 times forward and backwards, respectively.

    Result

    In normal speed the measured angle was between 6 and 25 degrees, when tilted forward, except two times when one of the devices gave no vibration during the whole tilt of 90 degrees. When tilted backwards the angle was between 8 and 32 degrees. During slow tilt the angle varied from 5 to 13 degrees forward and 4 to 13 degrees backwards.

    Discussion and conclusion

    Angle tilted before vibration is too large in normal tilting speed. This study indicates that Lumo Lift is not suitable of giving posture feedback during lifting in daily life.

  • 53.
    LARS, CERNERUD
    et al.
    Mälardalen University, Department of Caring and Public Health Sciences.
    Folke, Mia
    Mälardalen University, Department of Computer Science and Electronics.
    Så kan idrottsämnet i skolan bidra till ökad fysisk aktivitet2007In: LÄKARTIDNINGEN, Vol. 104, no 42, p. 3125-3126Article in journal (Refereed)
  • 54.
    Lönnblad, Jens
    et al.
    Mälardalen University, Department of Computer Science and Electronics.
    Nilsson, G
    Folke, M
    Hök, B
    Lindén, Maria
    Bäcklund, Y
    Artefacts in Continuous ECG Recording-Provoking and Preventing Manoeuvres2005In: Scandinavian Cardiovascular Journal, ISSN 1401-7431, Vol. 39, no 3, p. 167-171Article in journal (Refereed)
  • 55.
    Åkerberg, Anna
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Folke, Mia
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Lindén, Maria
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Söderlund, Anne
    Mälardalen University, School of Health, Care and Social Welfare, Health and Welfare.
    Stegräknar-appar för att främja folkhälsan - men mäter de rätt?2013In: Medicinteknikdagarna 2013, Stockholm, Sweden, 2013Conference paper (Refereed)
  • 56.
    Åkerberg, Anna
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Hellstrom, Per Anders Rickard, Per
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Folke, Mia
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Steps measured in relation to different amount of physical activity2015In: 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement ICAMPAM 2015, 2015Conference paper (Refereed)
  • 57.
    Åkerberg, Anna
    et al.
    Mälardalen University, School of Innovation, Design and Engineering.
    Lindén, Maria
    Mälardalen University, School of Innovation, Design and Engineering.
    Folke, Mia
    Mälardalen University, School of Innovation, Design and Engineering.
    How Accurate are Pedometer Cell Phone Applications?2012In: Procedia Technology, ISSN 2212-0173, Vol. 5, p. 787-792Article in journal (Refereed)
    Abstract [en]

    Accurate pedometers are useful tools to motivate and estimate physical activity. There are today free pedometer applications available for download to cell phones, thus enabling measurements by a device already worn. It is important to evaluate their accuracy and appropriate ways to wear the cell phone when using pedometer applications. The aim of this study was to evaluate the accuracy of six different free pedometer applications for three different cell phones, worn at three different cell phone positions. 10 test persons performed test sequences of 200 steps with each application, cell phone, and cell phone position. Only one application and cell phone combination showed a good accuracy with reasonable low standard deviation, especially in one of the cell phone positions. The majority of applications evaluated in this study, did not show high accuracy. There is a need of further evaluation of pedometer cell phone applications.

  • 58.
    Åkerberg, Anna
    et al.
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Lindén, Maria
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Folke, Mia
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Pedometer cell phone applications and future trends in measuring physical activity2013In: Information Systems and Technologies for Enhancing Health and Social Care, IGI Global , 2013, p. 324-339Chapter in book (Other academic)
    Abstract [en]

    A huge proportion of the world population is suffering from lifestyle related and preventable welfare diseases. Physical activity is one important means of achieving beneficial health impacts and of reducing the risk of chronic disease. Pedometers are often used to measure physical activity. Nowadays, cell phones are very common, and pedometer applications enable measurements to be made by a device that is already owned. This chapter presents a study of the measurement accuracy of pedometer cell phone applications. The results show that only one combination of pedometer application and cell phone provided high accuracy when tested by different test persons. In some cases, the measurements indicate that the orientation of the cell phone used during measurement might be relevant. In addition, it would be valuable to gain knowledge about the overall and everyday physical activity pattern, which would be very valuable in contributing to a healthier population.

12 51 - 58 of 58
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