Dataset based on UWB for Clinical Establishments
Donated on 11/22/2022
The authors come forth with a data set acquired from an intelligent surveillance system based on the bleeding edge technology – Ultra wide band technology. The intelligent surveillance system is proposed to prefect the movement of patients in and out of hospitals and other clinical establishments. The raw data is amassed from UWB anchors and tags affixed in the clinical arena using a wearable tag. The chronophagous behaviour of following up on the records of patients with respect to their arrival and departure manually is abhorred using the proposed surveillance system. The data described in the manuscript is a result of the system implemented in an area of 12.5m X 16.5m inside a hospital premises.
Dataset Characteristics
Tabular
Subject Area
Computer Science
Associated Tasks
Other
Attribute Type
Real
# Instances
608
# Attributes
8
Information
For what purpose was the dataset created?
The dataset was created from a novel surveillance and monitoring system using Ultra wide band technology implemented in a clinical estabilishment. UWB datasets implemented in hospitals are barely found and hence this dataset would be useful. The dataset deals with timing pulses procured from wearable worn by patients inside the hospital to identify their movement through out their stay.
Who funded the creation of the dataset?
Department of Science and Technology-Natural Resource Database Management System (DST-NRDMS) [Grant No: NRDMS/UG/NetworkProject/e-13/2019 (C) P-4].
What do the instances in this dataset represent?
represents the timing pulse sent from an embedded wearable. The dataset is used to find coordinates and position of object further.
Are there recommended data splits?
no
Does the dataset contain data that might be considered sensitive in any way?
no
Was there any data preprocessing performed?
no
Has the dataset been used for any tasks already?
no
Citation Requests/Acknowledgements
The study detailed is supported by the Department of Science and Technology-Natural Resource Database Management System (DST-NRDMS) [Grant No: NRDMS/UG/NetworkProject/e-13/2019 (C) P-4].
Features
| Attribute Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Attribute1 | Feature | Numerical - Discrete | false | ||
| Attribute2 | Feature | Categorical | false | ||
| Attribute3 | Feature | Categorical | false | ||
| Purpose: Dumping data | Feature | Numerical - Discrete | false | ||
| Attribute5 | Feature | Numerical - Discrete | false | ||
| Attribute6 | Feature | Numerical - Discrete | false | ||
| Attribute7 | Feature | Categorical | false | ||
| Attribute8 | Feature | Numerical - Discrete | false |
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Introduction Paper
-
SHYAM,SHILPA, juliet,sujitha , ezra,kirubakaran & Shyam,Shilpa . (2022). Dataset based on UWB for Clinical Establishments. UCI Machine Learning Repository.
@misc{misc_dataset_based_on_uwb_for_clinical_establishments_754,
author = {SHYAM,SHILPA, juliet,sujitha , ezra,kirubakaran & Shyam,Shilpa },
title = {{Dataset based on UWB for Clinical Establishments}},
year = {2022},
howpublished = {UCI Machine Learning Repository}
}Keywords
Creators
SHILPA SHYAM
sshyam.chem@gmail.com
KARUNYA UNIVERSITY
sujitha juliet
sujitha@karunya.edu
karunya university
kirubakaran ezra
ekirubakaran@gmail.com
karunya university
Shilpa Shyam
sshyam.chem@gmail.com
karunya university
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.