Scholarlink

Hyperhidrosis (HH) is a condition characterized by excessive sweating beyond physiological needs, affecting patients’ quality of life. This study introduces an innovative technological solution focused on the development of a graphical application to support the clinical study of hyperhidrosis, a condition characterized by excessive sweating. The application, developed using Python, Raspberry Pi, and temperature sensors, enables real-time monitoring of thermal variations. This system provides a novel approach to clinical data collection, specifically focusing on how biometric data is measured and how visual and auditory alerts are generated. The application’s design and implementation, highlighting the integration of PyQt4 and Matplotlib for a Python-based GUI, are the primary focus of this paper.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Development of a Graphical Application in Python for the Clinical Study of Patients with Hyperhidrosis

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Tiago Rocha Pereira,
  • Fatima Carvalho,
  • Joaquim Gonçalves,
  • Constantino Martins

摘要

Hyperhidrosis (HH) is a condition characterized by excessive sweating beyond physiological needs, affecting patients’ quality of life. This study introduces an innovative technological solution focused on the development of a graphical application to support the clinical study of hyperhidrosis, a condition characterized by excessive sweating. The application, developed using Python, Raspberry Pi, and temperature sensors, enables real-time monitoring of thermal variations. This system provides a novel approach to clinical data collection, specifically focusing on how biometric data is measured and how visual and auditory alerts are generated. The application’s design and implementation, highlighting the integration of PyQt4 and Matplotlib for a Python-based GUI, are the primary focus of this paper.