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Sensory Modalities01:15

Sensory Modalities

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Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
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相关实验视频

Updated: Sep 12, 2025

Author Spotlight: Exploring Dynamic Neural Changes Associated with Religious Chanting
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Author Spotlight: Exploring Dynamic Neural Changes Associated with Religious Chanting

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远程多模式研究 - 案例:OM Chant

Jari Ruokolainen1

  • 1School of Technology and Innovations, University of Vaasa, Yliopistonranta 10, 65200 Vaasa.

Studies in health technology and informatics
|August 8, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一个框架,用于从智能移动设备 (SMD) 使用蓝牙低能耗 (BLE) 来收集传感器数据. 一个新的工具翻译传感器数据,用于监测OM咒语唱歌期间的生理反应.

关键词:
远程医疗远程医疗可穿戴设备是可以穿戴的.

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科学领域:

  • 生物医学工程 生物医学工程
  • 移动计算 移动计算
  • 传感器技术 传感器技术

背景情况:

  • 从智能移动设备 (SMD) 远程收集数据对于实时健康监测至关重要.
  • 现有的方法往往缺乏各种外部传感器的高效集成.
  • 移动微服务架构 (MMA) 为管理分布式数据收集提供了一个潜在的解决方案.

研究的目的:

  • 为从中小企业收集多式联运传感器数据提供一个实用的框架.
  • 介绍一种工具,用于将蓝牙低能耗 (BLE) 传感器数据转换成可用的格式.
  • 为了证明该框架在OM咒语唱歌期间监测生理反应的实用性.

主要方法:

  • 开发了一个使用移动微服务架构 (MMA) 进行数据收集的框架.
  • 实现了一个工具,将BLE传感器的HEX数据转换为JSON格式,包括变量名称和值.
  • 使用Movensense (ECG,IMU) 和Shirary (EEG) BLE传感器进行数据采集.
  • 在OM咒语唱歌期间收集了呼吸,心率 (HR) 和脑电图 (EEG) 的数据.

主要成果:

  • 成功地从多个连接到SMD的BLE传感器中收集了时间序列数据.
  • 开发的工具有效地将HEX数据翻译成结构化的JSON格式.
  • 展示了在咒语唱歌期间监测呼吸,HR和EEG等生理参数的可行性.

结论:

  • 拟议的框架和工具允许从SMD传感器进行高效的远程多式联运数据收集.
  • 这种方法有助于研究与OM咒语唱歌等实践相关的生理变化.
  • 该系统为进一步研究移动健康和基于传感器的监测提供了基础.