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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

A Neurosurgeon's Guide to Mobile Health Application Development With a Case Study for Cervical Myelopathy.

Pranay Singh¹, Erdong Chen¹, Benjamin Steel¹

¹Department of Neurosurgery, Washington University in St. Louis School of Medicine, St. Louis , Missouri , USA.

|September 9, 2025

Summary

This summary is machine-generated.

This guide demystifies mobile health (mHealth) development for neurosurgeons, offering a framework for creating specialized applications. It uses SynapTrack for degenerative cervical myelopathy as a case study to simplify the process.

Keywords:

Algorithm development Database design Degenerative cervical myelopathy (DCM)Mobile health (mHealth)Patient privacy User-centered design

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Area of Science:

Neurosurgery
Digital Health
Medical Technology

Background:

Mobile health (mHealth) technologies offer transformative potential in neurosurgery but face development challenges.
Neurosurgical expertise is crucial, yet collaboration with technical experts is often difficult for clinicians.
A clear process is needed to bridge the gap between clinical needs and mHealth application development.

Purpose of the Study:

To provide neurosurgeons with a practical guide for developing disease-specific mHealth applications.
To demystify the technical aspects of mHealth development for clinical professionals.
To foster interdisciplinary collaboration between neurosurgeons and technology developers.

Main Methods:

Outlined the mHealth development process using SynapTrack, an mHealth tool for assessing degenerative cervical myelopathy.
Detailed key considerations including design, algorithm integration, database architecture, and data security.
Provided a practical framework adaptable for various neurosurgical mHealth tools.

Main Results:

Successfully developed SynapTrack, demonstrating the feasibility of creating objective assessment tools for neurodegenerative conditions.
The guide offers concrete steps and insights into navigating the complexities of mHealth development.
The SynapTrack case study provides a transparent view of the development lifecycle.

Conclusions:

Neurosurgery can leverage mHealth technology more effectively through guided development processes.
Interdisciplinary collaboration is key to creating tailored and impactful mHealth solutions in neurosurgery.
This framework empowers neurosurgeons to lead the development of specialized digital health tools.