학술논문

Determining Various Gait Metrics using IMU and the Geographical Location of the Patient Using GPS
Document Type
Conference
Source
2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS) Advanced Computing and Communication Systems (ICACCS), 2023 9th International Conference on. 1:869-872 Mar, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Wireless communication
Performance evaluation
Legged locomotion
Wireless sensor networks
Wearable computers
Stroke (medical condition)
Real-time systems
Gait analysis
mobility
IoT
wearable sensors
gait metrics
IMU
gait parameters
Language
ISSN
2575-7288
Abstract
Walking is an integral part of our daily routine and requires a high level of coordination between our limbs and trunk. Gait analysis, which assesses the way we stand and move while walking, is a crucial evaluation tool in determining our health. This analysis can be performed using wearable device-based gait analysis, which utilizes sensors to provide data relevant to various health applications. The proposed novel system, with the integration of IoT technology, patients are able to perform gait analysis using wearable technology at the comfort of their own homes, eliminating the need to visit a hospital or use expensive equipment. The data collected through wearable devices, such as foot angle, height, location, oxygen saturation levels, and step count, can be easily accessed by doctors through a mobile app. This information is then used to assess the patient's health and determine the next course of action. Hence, this innovation has the potential to revolutionize the way we monitor our health and manage illnesses. Its practicality, cost-effectiveness, and accuracy make it a valuable tool for both patients and healthcare professionals and has shown promising results in over 30 people evaluated in real-time.