Machine learning and data fusion for an intelligent wearable device
Diseases related to the cardiac and respiratory systems are the single largest causes of death worldwide. Noninvasive signals provide doctors a powerful tool for diagnosis. Due to the recent development in wearable technology, large amount of sensor data is generated. The goal of this project is to...
Main Author: | Galada, Aditya |
---|---|
Other Authors: | Lin Zhiping |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/75553 |
Similar Items
-
Machine learning for multi-sensor data fusion
by: Ong, Yiin Lih
Published: (2019) -
Wearable vital signs monitoring device with machine learning
by: Wong, Tein Foong
Published: (2022) -
Machine learning based data analytics for IoT devices
by: Xu, Hang
Published: (2017) -
Design and development of wearable vital signs monitoring device
by: Chong, Wei Zhi
Published: (2019) -
Development of machine learning techniques for wearable vital signs monitoring device
by: Ravindran, Daniel
Published: (2021)