基于反馈控制的自调整慢呼吸训练降压系统设计

田森富; 皮喜田; 黄永红; 刘洪英

doi:10.13873/J.1000-9787(2017)10-0115-03

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基于反馈控制的自调整慢呼吸训练降压系统设计

设计与制造 | 更新时间：2025-09-11

- 基于反馈控制的自调整慢呼吸训练降压系统设计
- Design of self-adjusting slow breathing training lower blood pressure system based on feedback control
- 传感器与微系统 2017年36卷第10期页码：115-117+128
- 作者机构：
  
  1. 重庆大学生物工程学院
  2. 新型微纳米器件与系统技术国防重点学科实验室
  3. 重庆市医疗器械电子工程技术研究中心
- 作者简介：
- 基金信息：
  
  国家科技支撑计划资助项目（2015BAI01B14,2013BAI03B04）
- DOI：10.13873/J.1000-9787(2017)10-0115-03
  中图分类号： R544.1;TH789
- 纸质出版：2017
- 稿件说明：
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[1]田森富,皮喜田,黄永红,刘洪英.基于反馈控制的自调整慢呼吸训练降压系统设计[J].传感器与微系统,2017,36(10):115-117+128.

TIAN Sen-fu, PI Xi-tian, HUANG Yong-hong, et al. Design of self-adjusting slow breathing training lower blood pressure system based on feedback control[J]. 2017, 36(10): 115-117+128.
[1]田森富,皮喜田,黄永红,刘洪英.基于反馈控制的自调整慢呼吸训练降压系统设计[J].传感器与微系统,2017,36(10):115-117+128. DOI： 10.13873/J.1000-9787(2017)10-0115-03.

TIAN Sen-fu, PI Xi-tian, HUANG Yong-hong, et al. Design of self-adjusting slow breathing training lower blood pressure system based on feedback control[J]. 2017, 36(10): 115-117+128. DOI： 10.13873/J.1000-9787(2017)10-0115-03.

摘要

针对患者进行缓慢呼吸训练时

难以适应慢呼吸节奏问题

提出了反馈控制—自调整模型提高患者适应性。通过反馈控制信号和自调整算法

生成后续引导呼吸信号;设计了反馈控制的自调整慢呼吸训练降压系统。呼吸传感器采集呼吸波

经呼吸率（BPM）检测算法、反馈—自调整模型

生成引导信号于7 in ISP显示屏指引呼吸。通过WM8960解码播放提示音乐

引导患者慢呼吸训练。经10名高血压患者进行累计100次慢呼吸训练

结果表明:随着训练次数增加

患者平均呼吸率从（15.16±0.92）次/min降低到（9.40±0.29）次/min

逐渐趋于慢呼吸状态。设计的降压系统能有效引导高血压患者进行慢呼吸训练。

Abstract

Clinical studies demonstrate that slow breathing can lower blood pressure significantly. However

the patients are difficult to adapt to the slow breathing training. Aiming at this problem

the feedback control and selfadjusting model is proposed to train patients to breathe slowly. By means of the feedback control signal and the self-adjusting algorithm of the model

a subsequent guided breathing signal is generated. Based on this model

a self-adjusting slow breathing training lower blood pressure system with feedback control is designed

the device uses a breathing sensor to collect respiratory waves

a breath per minute（ BPM） detection algorithm and selfadjusting model to generate signal and display on 7-inch ISP screen to guide slow breathing

the WM8960 decoding prompt music and provide guidance. 10 hypertensive volunteers are recruited and then trained to breathe slowly100 times using this device. The results show that average breath rate of the volunteers decreases from 15. 16 ±0. 92 times per minute to 9. 40 ± 0. 29 times per minute

gradually tends to slow breathing state. As a conclusion

the proposed lower blood pressure system works effectively in guiding slow breathing training.

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references

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