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The title implies that vibration of body through which we can analyze any disease. There are different deep learning models through which we can analyze the vibration to know about disease. Prefabricated foot orthoses, IMUs, and vibratory stimulators are examples of modern biomechanical technology that may be integrated to provide individualized therapy and improve structural health monitoring. Furthermore, deep learning techniques greatly enhance data processing skills, allowing for more precise forecasts and the development of novel therapeutic approaches, especially for diseases like Parkinson's disease. The role of biomechanics-based modern-day medical care will be analyzed in this article. Those perspective techniques in constructing and assembling of foot orthoses, tapered vibrators are also indispensable. Therefore, the advent of these technologies is giving a rise to personalized treatments for varied conditions, best data analysis, and creating patient responsive therapeutic interventions. The main thing to know from the comparative analysis of the deep learning algorithms is about how to choose the more efficient algorithm. The overall results of the discussed innovations are placed in the clear tendency towards traditional and generalized medicine to the current tailored and implementational healthcare approach.

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Deep Learning Approach for Vibration-Based Disease Diagnosis

  • 会议论文

  • 发表日期：

    2025年

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  • Samiksha Ninawe,
  • Vedanti Raut,
  • Akash Sharma,
  • Monali Gulhane,
  • Nitin Rakesh,
  • Mohan Kumar,
  • Saurav Dixit

摘要

The title implies that vibration of body through which we can analyze any disease. There are different deep learning models through which we can analyze the vibration to know about disease. Prefabricated foot orthoses, IMUs, and vibratory stimulators are examples of modern biomechanical technology that may be integrated to provide individualized therapy and improve structural health monitoring. Furthermore, deep learning techniques greatly enhance data processing skills, allowing for more precise forecasts and the development of novel therapeutic approaches, especially for diseases like Parkinson's disease. The role of biomechanics-based modern-day medical care will be analyzed in this article. Those perspective techniques in constructing and assembling of foot orthoses, tapered vibrators are also indispensable. Therefore, the advent of these technologies is giving a rise to personalized treatments for varied conditions, best data analysis, and creating patient responsive therapeutic interventions. The main thing to know from the comparative analysis of the deep learning algorithms is about how to choose the more efficient algorithm. The overall results of the discussed innovations are placed in the clear tendency towards traditional and generalized medicine to the current tailored and implementational healthcare approach.