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  • 51.
    Seoane, Fernando
    et al.
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Rempfer, Markus
    University of Borås.
    Marquez, Juan Carlos
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Lindecrantz, Kaj
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Textile-enabled Instrumentation for Impedance Cardiographic Signals2011Conference paper (Other academic)
  • 52.
    Seoane, Fernando
    et al.
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Ward, L. C.
    Lindecrantz, Kaj
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Lingwood, B. E.
    Automated criterion-based analysis for Cole parameters assessment from cerebral neonatal electrical bioimpedance spectroscopy measurements2012In: Physiological Measurement, ISSN 0967-3334, E-ISSN 1361-6579, Vol. 33, no 8, p. 1363-1377Article in journal (Refereed)
    Abstract [en]

    Hypothermia has been proven as an effective rescue therapy for infants with moderate or severe neonatal hypoxic ischemic encephalopathy. Hypoxiaischemia alters the electrical impedance characteristics of the brain in neonates; therefore, spectroscopic analysis of the cerebral bioimpedance of the neonate may be useful for the detection of candidate neonates eligible for hypothermia treatment. Currently, in addition to the lack of reference bioimpedance data obtained from healthy neonates, there is no standardized approach established for bioimpedance spectroscopy data analysis. In this work, cerebral bioimpedance measurements (12 h postpartum) in a cross-section of 84 term and near-term healthy neonates were performed at the bedside in the post-natal ward. To characterize the impedance spectra, Cole parameters (R-0, R-infinity, f(C) and alpha) were extracted from the obtained measurements using an analysis process based on a best measurement and highest likelihood selection process. The results obtained in this study complement previously reported work and provide a standardized criterion-based method for data analysis. The availability of electrical bioimpedance spectroscopy reference data and the automatic criterion-based analysis method might support the development of a non-invasive method for prompt selection of neonates eligible for cerebral hypothermic rescue therapy.

  • 53.
    Sturm, Dennis
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Wireless Multi-Sensor Feedback Systems for SportsPerformance Monitoring: Design and Development2012Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Wireless applications have become a common part of daily life. Whether it is mobile phones, the Wi-Fi router at home, the keycard which has replaced the car key, a radio frequency identification access system to a building or a Bluetooth headset for your computer or phone, the means of modern wireless data exchange is an omnipresent technology. In sports, the market is in its infancy for wireless, technical applications or gadgets. Only heart rate monitors and GPS watches are currently used by recreational athletes. Even though most of the larger sports equipment companies regularly launch new products related to sports performance monitoring and mobile phone technology, product innovation leaps are rare.In this work the design of a wireless sports performance measurement platform is presented. Using the example of kayaking, this platform is configured as a paddle performance measuring system, the Kayak XL System, which can monitor propulsive paddle force, paddle kinematics and boat velocity, interalia. A common mobile phone platform has been chosen as the user interface for this system. The design approach focussing on user requests, demands and expectations in combination with the process of iterative technical development are unveiled in this thesis. An evaluation of the system is presented and the work is finalised with an overview of further systems which have been designed based on the developed measurement platform. The Kayak XL System is a flexible system designed to be mounted onto any standard kayak paddle and installed in any competition kayak. Versatility, unobtrusiveness and usability were major design concerns. The developed system consists of four modules plus a software which has been designed for Android mobile phones. The phone communicates with each of the four modules trough Bluetooth radio. These four modules are also referred to as nodes and have specific measurement purposes. Two nodes have been designed to measure paddle force and kinematics, one node has the purpose to measure foot stretcher force and boat motion data, and the fourth node enables a more convenient method of calibrating paddle force measurement. The fourth node is therefore only needed prior to performance data acquisition. Results show that paddle and foot stretcher force can be measured with a resolution below 1N after calibration. Installing the paddle nodes on a previously configured paddle without repeated calibration is facilitated with the compromise of a doubled error margin. The default sampling frequency is set to 100 Hz and can, like all system parameters, be configured on the mobile phone. Real-time computation of complex performance parameters is only limited by the phone CPU. The system adds twice 109 g to the paddle and approximately 850 g to the kayak, excluding the mass of the mobile phone

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  • 54.
    Sturm, Dennis
    et al.
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Parida, Vinit
    Luleå University of Technology.
    User-centred Research and Technology Development: A Study of a Swedish University Project2012In: International Journal of Business and Management Tomorrow, ISSN 2249-9962, Vol. 2, no 1, p. 1-11Article in journal (Refereed)
    Abstract [en]

    University research is required to be more need-driven and user-centred in order to address research problemsand market needs. However, there is a lack of understanding regarding the research approach, which can be used effectively to address the dual goals. In this study, we provide a detailed explanation regarding user-centred research approach used in a Swedish university research project. Our results suggest that integration of potential customers and lead users into the research and development stages represents a critical step for ensuring marketability of the innovative product. In addition, we highlight four specific stages related to the proposed research approach and list specific activities related to these research and development stages.

  • 55.
    Sturm, Dennis
    et al.
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Parida, Vinit
    Luleå University of Technology.
    Larsson, Tobias C.
    Luleå University of Technology.
    Isaksson, Ola
    Luleå University of Technology.
    Design of user-centred wireless sensor technology in sports: An empirical study of elite kayak athletes2011Conference paper (Refereed)
    Abstract [en]

    University research is demanded to be more need-driven and user-centred in order to address and solve problems and needs of the market. In the present study a group of athletes and coaches has been analysed on their lead user characteristics. Some of the lead users have contributed with advanced user insights and aidin trend foresight in this sport. In a combined qualitative and quantitative approach the value of lead users in sports technology was examined and four users were identified as lead users. In consistence with previous research the results indicate that involving lead users will foster superior insight and research.

  • 56.
    Sturm, Dennis
    et al.
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701).
    Yousaf, Khurram
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701).
    Brodin, Lars-Åke
    KTH, School of Technology and Health (STH), Medical Engineering.
    Halvorsen, Kjartan
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701). Uppsala University, Uppsala, Sweden .
    Wireless kayak on-water ergometry - Part 1: Paddle blade force2013In: Sports Technology, ISSN 1934-6182, E-ISSN 1934-6190, Vol. 6, no 1, p. 29-42Article in journal (Refereed)
    Abstract [en]

    The aim of this work was to present a new wireless paddle force measurement system and to evaluate this measurement system. The system is redeveloped from a previous design and includes inertial motion sensors, which allows for the movement and inertia of the paddle to be taken into account. The system consists of two sensor nodes, designed for quick attachment to virtually any kayak paddle and an Android phone or tablet. Each sensor node measures the bending of the shaft in one plane. We derive the expressions necessary for computing the force on the paddle blade in two directions, ignoring the force in the direction of the shaft. Two different schemes for calibrating the system are presented. The accuracy and reliability of the system is evaluated in a laboratory setting using a material testing machine. An average error of 0.4% can be achieved for force measurements following directly after calibration. When the sensors are removed and reattached between calibration and measurements, average error between loading and measured force increased to 2.0% (linear model) and 1.8% (quadratic model). The limits of agreement depend on the position of the sensor nodes along the shaft and the feather angle if transverse sensitivity of the sensors is used to determine two-dimensional force on the paddle blade. On-water stroke force is presented, averaged over 10 strokes for each side with force levels >200 N to show the applicability of the study. The accuracy of the measurement is affected by the calibration method, placement of the paddle nodes and the shaft's properties.

  • 57.
    Sturm, Dennis
    et al.
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Yousaf, Khurram
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Eriksson, Martin
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    A wireless, unobtrusive Kayak Sensor Network enabling Feedback Solutions2010In: 2010 International Conference on Body Sensor Networks, BSN 2010, 2010, p. 159-163Conference paper (Refereed)
    Abstract [en]

    Canoeing is a very competitive sport involving a non-trivial pattern of motion. A group of athletes and coaches approached the authors for aid in quantifying what until today only is qualitative, personal and thereby subjective data. The objective of this work is to present a measurement tool that records paddle and foot stretcher force in a flatwater kayak training situation, i.e. when training on the water. The system facilitatesa wireless (Bluetooth) star network link with three sensor nodes and one central unit. Validation data was obtained from a kayak ergometer that is equipped with analysis software. The stroke power obtained from this ergometer system is compared to the force data measured by the presented wireless sensor nodes. We have not been able to find any similar systems that would provide better data for performance analysis.

  • 58.
    Sturm, Dennis
    et al.
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Yousaf, Khurram
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Eriksson, Martin
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Tornberg, Åsa B.
    Halvorsen, Kjartan
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Validation of a novel wireless Force Measurement System for Kayak Paddle ShaftsManuscript (preprint) (Other academic)
  • 59.
    Sturm, Dennis
    et al.
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Yousaf, Khurram
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Halvorsen, Kjartan
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Eriksson, Martin
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Håkansson, Paul
    Lund University.
    Segerström, Åsa
    Lund University.
    Measuring Kayak Paddle Performance with Wireless Strain Sensors on the Shaft: A Validation Study2011Conference paper (Refereed)
  • 60.
    Tinmark, Fredrik
    et al.
    The Swedish School of Sport and Health Sciences.
    Hellström, John
    Örebro University.
    Thorstensson, Alf
    The Swedish School of Sport and Health Sciences.
    Halvorsen, Kjartan
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
    Contributions to endpoint velocity in a bimanual striking task2011In: Proceedings of ISB XXIII Congress, 2011Conference paper (Refereed)
  • 61.
    Wåhslén, Jonas
    et al.
    KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).
    Orhan, Ibrahim
    KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).
    Lindh, Thomas
    KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).
    Eriksson, Martin
    KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701).
    A novel approach to multi-sensor data synchronisation using mobile phones2013In: International Journal of Autonomous and Adaptive Communications Systems, ISSN 1754-8632, E-ISSN 1754-8640, Vol. 6, no 3, p. 289-303Article in journal (Refereed)
    Abstract [en]

    This paper presents a new algorithm for application layer synchronisation of data from multiple sensors arriving to a mobile phone's Bluetooth interface. A system that provides feedback signals to an athlete is one example where it is crucial to synchronise data from several wireless sensors. This paper also discusses synchronisation problems caused by unpredictable Bluetooth transmission performance. 

12 51 - 61 of 61
CiteExportLink to result list
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Cite
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  • apa
  • ieee
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  • vancouver
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  • en-US
  • fi-FI
  • nn-NO
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