Edge preserved low-pass filtering controlled by local dimension

Paskas, Milorad P.; Reljin, Branimir; Reljin, Irini; Dujkovic, Dragi M.

doi:10.1109/iwssip.2013.6623456

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…Sci. 2019, 9, x FOR PEER REVIEW 3 of 15 using low-pass filtering [18,19], and the features are used as the input parameters for the fuzzy algorithm to calculate the Flexion and Pronation action scores. The second stage uses the Flexion and Pronation outputs as input parameters, and then adds the Lap to Chin action score to calculate a Brunnstrom grade.…”

Section: Measurement Systemmentioning

confidence: 99%

“…Through action analysis, this paper sets 7 main features and performs a two-stage fuzzy assessment. In the first stage, the original accelerometer data for the Flexion and Pronation actions are smoothed using low-pass filtering [18,19], and the features are used as the input parameters for the fuzzy algorithm to calculate the Flexion and Pronation action scores. The second stage uses the Flexion and Pronation outputs as input Fuzzy parameters, and then adds the Lap to Chin action score to calculate a Brunnstrom grade.. For hemiplegia patients, this entails adjusting personalized parameters, such as applying the fuzzy parameters for degree of concealment to improve the training stability.…”

Section: Introductionmentioning

confidence: 99%

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A Brunnstrom Stage Evaluation System with Fuzzy-Accelerometer

Tsai

et al. 2019

Applied Sciences

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Advances in medical care has reduced the rate of mortality from strokes, but the incidence of stroke has remained stable while the incidence of ministrokes has increased. Most stroke victims require long-term care, imposing a heavy financial and emotional burden on families while incurring a heavy cost to society. Thus, strokes are a key issue in the context of health care in Taiwan. This paper proposes using VBA (Visual Basic for Applications) to build a system for assessing Brunnstrom stages based on the observation of several obvious rehabilitation features The system calculates features for accelerometer readings, which are then used as input parameters for a fuzzy algorithm to obtain the Brunnstrom action level. Experimental results show the proposed approach effectively assesses Brunnstrom level, and that the approach can be used to assist physical therapists in performing longitudinal assessments of stroke victim progress, thus improving evaluation efficiency.

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Section: Measurement Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Brunnstrom Stage Evaluation System with Fuzzy-Accelerometer

Tsai

et al. 2019

Applied Sciences

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“…Filtering techniques used in this paper represent adapted fractal techniques proposed in [3] and [4], where they were used for filtering of natural images. Edges are detected within these techniques using local fractal dimensions instead of gradients.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fractal filtering of echocardiograms

Paskas

Gavrovska

Dujkovic

et al. 2014

12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL)

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Echocardiograms are inherently corrupted by the speckle noise. Elimination of the noise is usually treated with lowpass filters which can degrade edges in the image. Adaptive approaches employ masks for edges and restrict low-pass filtering mainly to homogeneous regions. Masks are based on statistical parameters or gradients. In this paper are applied local dimension matrices from fractal model as masks. Experimental tests are conducted for two simple low-pass filters (i) average filter and Gaussian filter (ii) and using three multifractal measures known from the literature -MIN, MAX and OSC measure. Obtained results for adaptive approaches show improvements over non-adaptive approaches in all analyzed scenarios.Index Terms-Echocardiogram, fractal dimension, image denoising, speckle noise, ultrasound.

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