Implementation of an iPhone wireless accelerometer application for the quantification of reflex response

Area of Science:

• Biomedical Engineering
• Neurology
• Mobile Health Technology

Background:

• The patellar tendon reflex is a key component of neurological examinations.
• Assessing this reflex provides insights into nervous system function.
• Objective quantification of the reflex has been a challenge, particularly in diverse settings.

Purpose of the Study:

• To develop and evaluate a novel iPhone-based system for quantifying the patellar tendon reflex.
• To assess the feasibility of using smartphone technology for neurological reflex measurement.
• To enable accurate and consistent data collection in various environments, including rural and remote locations.

Main Methods:

• Development of an iPhone wireless accelerometer application integrated with a pendulum-based reflex hammer.
• Testing and evaluation of the system's performance in quantifying reflex responses.
• Utilizing the iPhone as a platform for data acquisition and wireless transmission via email.
• Automated post-processing of acceleration waveforms for feature extraction.

Main Results:

• Successful development and validation of the iPhone wireless accelerometer application.
• Demonstrated accurate and consistent quantification of the patellar tendon reflex.
• The system proved effective in capturing reflex response acceleration waveforms.
• The iPhone's wireless capabilities facilitated data transmission from remote settings.

Conclusions:

• The developed iPhone application effectively quantifies the patellar tendon reflex.
• Smartphone technology can serve as a viable biomedical device for neurological assessments.
• This approach offers a portable, accurate, and consistent method for reflex testing.
• The system has significant potential for use in both clinical and remote healthcare settings.