Wearable sensors systems and their impact on biomedical engineering


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Wearable sensors/systems and their impact on biomedical engineering
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In the article that follows, Jovanov et al. present their approach to develop personal health monitors based on a wireless body area network of intelligent sensors. Body area networks of wireless intelligent sensors are linked to a personal server via a mobile gateway, ie, a 

request paper AUTOMATIC INGESTION MONITOR: A NOVEL WEARABLE DEVICE FOR MONITORING OF INGESTIVE BEHAVIOR



Automatic Ingestion Monitor: A Novel Wearable Device for Monitoring of Ingestive Behavior
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Abstract:Objective monitoring of food intake and ingestive behavior in a free-living environment remains an open problem that has significant implications in study and treatment of obesity and eating disorders. In this paper, a novel wearable sensor system (

Automatic Ingestion Monitor: A Novel Wearable Device for Monitoring of Ingestive Behavior
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Abstract:Objective monitoring of food intake and ingestive behavior in a free-living environment remains an open problem that has significant implications in study and treatment of obesity and eating disorders. In this paper, a novel wearable sensor system ( People with multiple sclerosis (pwMS) often suffer from gait impairments. These changes in gait have been well studied in laboratory and clinical settings. A thorough investigation of gait alterations during community ambulation and their contributing factors, however, is Humans with good health condition is some more difficult in todays life, because of changing food habit and environment. So we need awareness about the health condition to the survival. The health-support systems faces significant challenges like lack of adequate

Downsampling wearable sensor data packets by measuring their information value
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Long-Short Term Memory models (LSTMs) are data-driven routines that classify Human Activity Recognition (HAR) with minimum human input. The price to pay for analysing large sequences of on-body sensor measurements with LSTMs are high processing power and

Wearable sensor monitoring in hospital care
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ISBN 978-94-028-1425-5 Design/lay-out Bregje Jaspers, ProefschriftOntwerp. nl, Nijmegen Print Ipskamp printing Mariska Weenk All rights are reserved. No part of this book be reproduced, distributed, stored in a retrieval system, or transmitted in any form or by any

Multi-frame weak supervision to label wearable sensor data
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Using modern deep learning models to make predictions on time series data from wearable sensors generally requires large amounts of labeled data. However, labeling these large datasets can be cumbersome since each sequence is comprised of many individual

Disease Prediction for the Wearable Sensor Data using ANN and Fuzzy Classification
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Health monitoring through the wearable sensor is very common in todays life and it becomes a kind of trend. Many wearable sensors are like smart watches, Activity trackers and many more provides the health parameters like pulse rate, Blood pressure, calorie burnt

Development and Monitoring of a Fall Detection System through Wearable Sensor Belt
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The elderly peoples population increases health care demand with a greater desire for independence. And, also avoiding the risks of falling incidents has become particularly noticeable which can cause disability leading to a significant decrease in movability and

A comparison of human body wearable sensor positions for UWB-based indoor localization.
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Over the years, several UWB localization systems have already been proposed for accurate position estimation of pedestrians. Most of these systems already proposed for pedestrian localization have only been individually evaluated for a particular wearable sensor position

mhealthtools: A Modular R Package for Extracting Features from Mobile and Wearable Sensor Data
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As life expectancy continues to rise with the increasing prevalence of modern medical practices, the costs associated with caring for an increasingly large elderly population have climbed as well. In response, there has been an evolving interest in using relatively

Correction to Investigation of the Chemical Effect of Solvent during Ligand Exchange on Nanocrystal Thin Films for Wearable Sensor Applications
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On page 1100 the following sentence should be added to the Acknowledgments: This research was also sup- ported by Korea Electric Power Corporation (R17XA05-12). The change does not affect any of experimental results, discussions, or scientific conclusions and is approved by

Wearable Sensor Based Fall Detection System
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Fall detection is a major challenge in the public healthcare domain, especially for the elderly as the decline of their physical fitness, and timely and reliable surveillance is necessary to mitigate the negative effects of falls. This project develops a novel fall detection systemPopulation aging is considered to be one of the most significant social transformations of the twenty-first century. In this paper, we evaluate the acceptability and usability of a system designed to silently monitor the activity and condition of older adults, with a particular focus

Spatial Analysis of Moments of Stress Derived from Wearable Sensor Data
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Over the last years, we have witnessed an increasing interest in urban health research using physiological sensors. There is a rich repertoire of methods for stress detection using various physiological signals and algorithms. However, most of the studies focus mainly on

Wearable sensor for measurement of gait walking and running motion
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In this work, we developed a smart wearable device for gait speed measurement with dual wireless communication on the feet by using an inertia measurement unit (IMU) sensor . To discover step counts and speed information, pitch and yaw angles were calculated

Ambient and Wearable Sensor Fusion for Abnormal Behaviour Detection in Activities of Daily Living
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Abnormal behaviour detection in the performance of Activities of Daily Living (ADLs) can be an indicator of a progressive health problem or the occurrence of a hazardous incident. This paper presents an initial sensor fusion approach for data collected from ambient (contact

Dual-channel electrodermal activity and an ECG wearable sensor for measuring mental stress from the hands
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The paper describes the design and characterisation of a dual-channel electrodermal activity (EDA) and ECG sensor for acquiring data from the hands. The need for dual-channel data acquisition is due to the removal of motion artefacts that happen when EDA is

Automated Screening of Dyslexia via Dynamical Recurrence Analysis of Wearable Sensor Data
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Dyslexia is a neurodevelopmental learning disorder that affects the acceleration and precision of word recognition, therefore obstructing the reading fluency, as well as text comprehension. Although it is not an oculomotor disease, readers with dyslexia have shown

Wearable Sensor based Gait Pattern Analysis for detection of ON/OFF State in Parkinsons Disease
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In the last decades patients suffering with Parkinsons disease is increasing at a rapid rate and as per prediction it will grow more rapidly as old age population is increasing at a rapid rate through out the world. As the performance of wearable sensor based approach reached In turn, their complementary unity into a self-powered wearable sensor enables the precise detection of physiological motions ranging from pulse rate to phonetic recognition, holding promise for in-practical health monitoring applications In this paper, an implementation of affordable medical technology health monitoring sensor system is developed and demonstrated to measure blood saturation levels (SpO 2), heart rate and body temperature simultaneously. The embedded system is based on Arduino -SOFTWARE SALES SERVICE-https://www.engpaper.net--