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Download 16th Nordic-Baltic Conference on Biomedical Engineering: 16. by Henrik Mindedal, Mikael Persson PDF

By Henrik Mindedal, Mikael Persson

This quantity provides the complaints of the joint sixteenth Nordic-Baltic convention on Biomedical Engineering & clinical Physics and Medicinteknikdagarna 2014! The convention subject is Strategic Innovation. It goals at inspiring elevated triple helix collaborations among overall healthiness care prone, academia and the medtech industry.

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Read or Download 16th Nordic-Baltic Conference on Biomedical Engineering: 16. NBC & 10. MTD 2014 joint conferences. October 14-16, 2014, Gothenburg, Sweden PDF

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Extra info for 16th Nordic-Baltic Conference on Biomedical Engineering: 16. NBC & 10. MTD 2014 joint conferences. October 14-16, 2014, Gothenburg, Sweden

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In this paper, the signal processing algorithms are used to minimize the drift during integration by MEMS-based accelerometer. The simulation results show that the proposed algorithms improved the results a lot. The algorithm reduced the drift in one minute by about 20 meters in the simulation. It can be seen as a reference of signal processing for the motion analysis system with MEMS-based accelerometer in the future work. Keywords— Accelerometer, integration, MEMS, signal processing, drift. rithms are designed and used to improve the signal quality.

Velocity without drift is integrated to position signal. As shown in Fig. 5, compared with the position without filtering, the drift in integrated position signal is reduced and the result is improved a lot, about 20 meter drift in one minute is reduced. Position 5 Position from integrated velocity Position from filtered velocity 0 Acceleration position (m) 15 acc-singal after preprocessing acceleration (m/s2) 10 5 -5 -10 -15 0 -20 -5 0 10 20 30 40 50 60 Time (s) -10 -15 Fig. 5 Position signal comparison.

Table 2 shows that, in the A test, for all sub-areas the Pioltello’s group totalizes higher scores than the other school, thus producing more errors. 005) Sub Area Posture Handgrip Sheet graphic space Row graphic space Recovery allographic Graphomotor patterns Total Quality Score Max 0,031 0,038 0,067 0,328 0,169 0,366 PI 0,007 0,025 0,007* 0,053* 0,001 0,052* CE 0,004 0,023 0,002 0,031 0,001 0,023 Tables 3 to 5 show in detail the criteria for the areas (Table 2) in which significant differences are observed (*).

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