Edge Computing Platform for Spine Health Risk Management Based on IoT Technology

Edge Computing Platform for Spine Health Risk Management Based on IoT Technology

This project proposes to monitor the spinal posture of a person at rest and in motion in real time through a sensor device that contains spinal health monitoring as its core. By calibrating the five core planes on the spine and using AI algorithms to train the model, the relationship between the core plane data and spine health is established.This project will output medical-grade and consumer-grade wearable spine healthcare and monitoring products, establish an interactive platform to connect the wearer, the data terminal and the professional medical team, so that patients can easily get professional health advice and reminders during home healthcare and rehabilitation; and through the collection of spine health data, establish a national spine health database.

Inclusion Criteria:

• Between the ages of 18 and 60 years.
• Degenerative diseases of the cervical spine such as cervical disc herniation, cervical stenosis, ossification of the posterior longitudinal ligament, etc., but surgery is not considered for the time being.
• Available for clinical follow-up and agree to long-term clinical follow-up and sign informed consent.

Exclusion Criteria:

• Age less than 18 years or more than 60 years.
• Life expectancy less than 1 year.
• Suffering from severe dementia (MMSE score less than 18).
• Suffering from other serious medical conditions.
• Inability to sign informed consent.