Dataset based on UWB for Clinical Establishments

Donated on 11/21/2022

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

Feature Type

Real

# Instances

608

# Features

8

Dataset 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 Missing Values?

No

Introductory Paper

A UWB System Model for Patient Tracking and Monitoring for Smart Healthcare

By Shilpa Shyam; Sujitha Juliet; Kirubakaran Ezra. 2022

Published in Karunya University

Variables Table

Variable NameRoleTypeDescriptionUnitsMissing Values
Attribute1FeatureIntegerno
Attribute2FeatureCategoricalno
Attribute3FeatureCategoricalno
Purpose: Dumping dataFeatureIntegerno
Attribute5FeatureIntegerno
Attribute6FeatureIntegerno
Attribute7FeatureCategoricalno
Attribute8FeatureIntegerno

0 to 8 of 8

Dataset Files

FileSize
blink.csv32.8 KB
Makefile97 Bytes

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download (33.1 KB)
1 citations
4141 views

Creators

SHILPA SHYAM

sshyam.chem@gmail.com

KARUNYA UNIVERSITY

sujitha juliet

sujitha@karunya.edu

karunya university

kirubakaran ezra

ekirubakaran@gmail.com

karunya university

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy