具有音频收集能力的智能可穿戴设备可以评估慢性阻塞性肺病的严重程度
Chunbo Zhang1, Kunyao Yu1, Zhe Jin1
1Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China.
咳和吹气声音的智能手表录音有效地评估慢性阻塞性肺病 (COPD) 的严重程度. 这项技术为在家监测COPD患者提供了一种有希望的非侵入性方法.
科学领域:
- 肺部医学 肺部医学
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
背景情况:
- 慢性阻塞性肺病 (COPD) 监测对有效的远程评估提出了挑战.
- 智能可穿戴设备显示出COPD管理的潜力,但组合音频数据 (咳和吹气声音) 的实用性尚未确立.
研究的目的:
- 通过使用生理参数和音频数据,评估智能手表在评估COPD严重性的有效性.
- 确定COPD患者肺功能,生理指标和音频记录之间的相关性.
主要方法:
- 29名稳定的COPD患者接受了标准的临床评估,并佩戴智能手表7-14天.
- 智能手表连续监测心率 (HR),心率变化 (HRV),呼吸率 (RR) 和外围动脉氧和度 (SpO2).
- 每天记录两次自愿咳和强烈吹的声音,并分析数据与COPD严重程度 (GOLD等级) 和功能指标的相关性.
主要成果:
- 咳的声音与COPD严重程度的相关性最高 (金级,r=0.7617) 和6分钟的步行距离 (r=0.6847).
- 吹风声与BODE指数的相关性最强 (r=-0.6749).
- 使用RR和吹声的预测模型在确定GOLD等级时达到0.77-0.89准确度.
结论:
- 在COPD患者中,通过智能手表收集的音频数据与肺功能的相关性比生理参数更强.
- 基于智能手表的音频分析提供了一种有效的,非侵入性的方法来评估COPD的严重程度.
更多相关视频
10:45A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
Published on: January 22, 2018
15:00Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
Published on: February 3, 2023
相关概念视频
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History
Chronic Obstructive Pulmonary Disease
Smoking is a primary risk factor for COPD, with over 80% of patients having a history of it. Patients typically experience progressive dyspnea or labored breathing, frequent coughing, and recurrent pulmonary infections. Many eventually succumb to respiratory failure, characterized by...
Assessment of Respiration
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
Chronic Obstructive Pulmonary Disease-I: Introduction
Chronic Obstructive Pulmonary Disease-V: Management
Smoking Cessation
Pulse Oximetry
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
