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Trial and Error and Algorithm

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Regulation of Stroke Volume01:27

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The regulation of stroke volume, which is the amount of blood the heart pumps out during each heartbeat, is critical for maintaining a healthy circulatory system. Stroke volume is influenced by three main factors: preload, contractility, and afterload.
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Related Experiment Video

Updated: Feb 10, 2026

Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients
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[Quantitative assessment of stroke patients based on dynamic time warping algorithm].

Shuna Li1, Lei Yu2

  • 1School of Information and Communication Engineering, North University of China, Taiyuan 030051, P.R.China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|May 11, 2018
PubMed
Summary

This study introduces a new method using dynamic time warping (DTW) to assess stroke patient rehabilitation exercises. The R value from DTW accurately measures motion similarity and tracks recovery progress.

Keywords:
Fugl-Meyer Assessment scaleaccelerometer sensordynamic time warpingstroke

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Area of Science:

  • Biomechanics and Rehabilitation Engineering
  • Signal Processing and Machine Learning

Context:

  • Stroke rehabilitation requires objective methods to track patient progress.
  • Current motion assessment methods may lack quantitative precision.
  • Wearable sensor data offers potential for detailed movement analysis.

Purpose:

  • To develop a novel quantitative assessment method for evaluating motion similarity in stroke rehabilitation.
  • To utilize the dynamic time warping (DTW) algorithm for analyzing accelerometer signals.
  • To establish an assessment index for stroke patients' task performance and recovery.

Summary:

  • A new method preprocesses accelerometer signals and uses dynamic time warping (DTW) to calculate motion similarity against standard task templates.
  • The shortest path distance (R value) from DTW effectively classifies motion with up to 91% accuracy.
  • The R value decreases with rehabilitation progress, serving as a quality assessment index.

Impact:

  • Enables objective and quantitative evaluation of rehabilitation exercises for stroke patients.
  • The R value can guide automatic prescription generation and adjust interactive gaming difficulty for personalized therapy.
  • Facilitates individualized rehabilitation services by providing a reliable measure of patient progress.