Design intelligent wheelchair with ECG measurement and wireless transmission function

Area of Science:

• Biomedical Engineering
• Gerontology
• Cardiology

Background:

• Aging populations necessitate advanced healthcare solutions.
• Ischemic heart disease is a leading cause of mortality in older adults and those with mobility issues.
• Wheelchairs are essential mobility aids for many elderly individuals.

Purpose of the Study:

• To develop a smart wheelchair system for real-time arrhythmia detection.
• To integrate electrocardiography (ECG) monitoring into a wheelchair for patients with heart disease and reduced mobility.
• To enhance patient safety and medical quality through continuous health monitoring.

Main Methods:

• A handheld ECG-sensing instrument was developed and integrated into a wheelchair.
• A custom arrhythmia-detecting program was utilized for data analysis.
• ECG data were transmitted wirelessly via a Wi-Fi module for human-machine interface diagnosis.

Main Results:

• The system successfully integrated ECG monitoring capabilities into a wheelchair.
• Real-time data transmission and analysis of cardiac activity were achieved.
• The developed program could diagnose arrhythmias from the collected ECG data.

Conclusions:

• The arrhythmia-detecting smart wheelchair offers a novel approach for continuous cardiac monitoring in at-risk populations.
• This technology has the potential to improve the management of heart disease in elderly individuals with mobility impairments.
• Integration of medical monitoring into assistive devices can enhance patient care and quality of life.