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相关概念视频

Pulse rhythm01:30

Pulse rhythm

1.3K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Special considerations while measuring pulse01:13

Special considerations while measuring pulse

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Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
899
Pulse Oximetry01:24

Pulse Oximetry

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Pulse oximetry, or SpO2, is a non-invasive method for continuously monitoring arterial oxygen saturation (SaO2). This procedure involves attaching a probe or sensor to the patient's fingertip, forehead, earlobe, or nose bridge. The sensor works by detecting changes in oxygen saturation levels through light signals generated by the oximeter and reflected by the pulsing blood under the probe.
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
1.3K
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

2.3K
To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
2.3K
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

6.1K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
6.1K
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

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Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
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相关实验视频

Updated: Jan 15, 2026

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
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Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Published on: June 16, 2018

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在分布式边缘设备上实时心跳分类:性能和资源利用研究

Eko Sakti Pramukantoro1, Kasyful Amron1, Putri Annisa Kamila2

  • 1Faculty of Computer Science, Universitas Brawijaya, Malang 65145, Indonesia.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

这项研究引入了使用可穿戴传感器和机器学习进行早期心脏病检测的实时系统. 它在心跳分类中达到99%的准确性,并具有快速推断时间,可立即诊断.

关键词:
喷气式飞机纳米Nano 公司这是LSTM的LSTM.心跳的分类心跳的分类实时推理推理的时间.流处理 流处理 流处理 流处理

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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

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Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
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Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

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相关实验视频

Last Updated: Jan 15, 2026

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

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Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
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Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task

Published on: December 5, 2025

179

科学领域:

  • 心脏病学和卫生技术技术
  • 机器学习和分布式计算

背景情况:

  • 早期发现心脏病对于预防至关重要.
  • 可穿戴设备和机器学习为自动心跳检测提供了潜力.
  • 现有的心跳分类系统经常使用批处理,导致延迟.

研究的目的:

  • 开发使用分布式流处理的实时心跳分类推理系统.
  • 为了实现早期诊断,对心电图数据进行持续,即时和可扩展的分析.
  • 为了解决当前系统中批处理的局限性.

主要方法:

  • 实现了一个实时系统与分布式流处理和Flask框架.
  • 通过蓝牙和Web蓝牙API集成的Polar H10传感器用于ECG数据采集.
  • 使用了具有RR间隔,形态和波形特征的LSTM-512,LSTM-256和FCN模型.

主要成果:

  • 在心跳分类中达到99%的准确性,具有最佳的波形特征和LSTM-Sequential架构.
  • 演示实时性能,推断时间为0.12秒.
  • 在Jetson Orin设备上展示了高效的资源利用率 (24.75%的CPU,0.34%的GPU,293MB的内存).

结论:

  • 实时心跳分类在使用优化的功能和模型的分布式边缘设备上是可行的.
  • 开发的分布式架构确保了持续ECG监测的弹性和可扩展性.
  • 该系统通过立即数据分析,增强了对心脏病的早期诊断能力.