Development of machine learning models for vital signs monitoring
Blood pressure is an important clinical vital sign nowadays and it is recommended to monitor the blood pressure measurements daily to reduce the risks of high blood pressure. Generally, Blood pressure measurements are made using contact and non-contact methods. This study proposes a non-contact bloo...
Saved in:
Main Author: | Seenivasan Sindhu Barathi |
---|---|
Other Authors: | Muhammad Faeyz Karim |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/164024 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
Development of machine learning model for the field of dentistry
by: Li, Hengliang
Published: (2023)
by: Li, Hengliang
Published: (2023)
Similar Items
-
Vital signs monitoring device with machine learning
by: Yang, Mingqi
Published: (2020) -
Wearable vital signs monitoring device with machine learning
by: Wong, Tein Foong
Published: (2022) -
Development of machine learning techniques for wearable vital signs monitoring device
by: Ravindran, Daniel
Published: (2021) -
Development of machine learning technique for wearable vital sign monitoring device
by: Zheng, Yandan
Published: (2019) -
Development of machine learning techniques for wearable vital signs monitoring device
by: Amy Amelyn Ahmad
Published: (2019)