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Pulse rhythm

Pulse rhythm

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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Related Experiment Video

Updated: May 24, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Monitoring and Visualizing Stroke Rehabilitation Progress using Wearable Sensors.

Lin Zhou, Torsten Rackoll, Lennard Ekrod

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|March 5, 2025

Summary

This summary is machine-generated.

This study shows wearable sensors can track stroke patient mobility during rehabilitation. Visualizations of gait data help clinicians monitor recovery progress effectively.

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Last Updated: May 24, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

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A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

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Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Area of Science:

Biomedical Engineering
Rehabilitation Science
Wearable Technology

Background:

Stroke is a major cause of disability, with mobility recovery being a key rehabilitation goal.
Wearable sensors like inertial measurement units (IMUs) offer accessible and cost-effective mobility quantification.
Longitudinal monitoring and clinically relevant insights for stroke gait rehabilitation using wearables require further research.

Purpose of the Study:

To assess the feasibility of using wearable sensors for monitoring and visualizing longitudinal stroke gait rehabilitation progress.
To develop and evaluate methods for quantifying gait changes during early stroke rehabilitation.
To provide clinically relevant insights through advanced gait visualizations.

Main Methods:

Recruited ten stroke patients in the early stages of rehabilitation.
Collected and analyzed gait features derived from inertial measurement units (IMUs) over two visits.
Developed visualizations for foot movement trajectories and spatio-temporal gait parameters (average, symmetry, variation).

Main Results:

Quantified changes in gait parameters using IMU data and novel visualization techniques.
Demonstrated the potential of visualizations to represent gait improvements or changes over time.
Clinical experts validated the visualization and quantification methods.

Conclusions:

Wearable sensors and advanced visualizations are feasible for monitoring longitudinal stroke gait rehabilitation.
The developed methods show promise in aiding clinicians to track patient progress.
This approach can enhance the clinical management of stroke survivors' mobility recovery.