scholarly journals IoT Based Heart Activity Monitoring Using Inductive Sensors

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3284 ◽  
Author(s):  
Adrian Brezulianu ◽  
Oana Geman ◽  
Marius Dan Zbancioc ◽  
Marius Hagan ◽  
Cristian Aghion ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Output Signal ◽  
Vital Signs ◽  
Data Rate ◽  
The Body ◽  
Mechanical Activity ◽  
Heart Activity ◽  
Inductive Sensor ◽  
Heart Monitoring ◽  
Inductive Sensors

This paper presents a system dedicated to monitoring the heart activity parameters using Electrocardiography (ECG) mobile devices and a Wearable Heart Monitoring Inductive Sensor (WHMIS) that represents a new method and device, developed by us as an experimental model, used to assess the mechanical activity of the hearth using inductive sensors that are inserted in the fabric of the clothes. Only one inductive sensor is incorporated in the clothes in front of the apex area and it is able to assess the cardiorespiratory activity while in the prior of the art are presented methods that predict sensors arrays which are distributed in more places of the body. The parameters that are assessed are heart data-rate and respiration. The results are considered preliminary in order to prove the feasibility of this method. The main goal of the study is to extract the respiration and the data-rate parameters from the same output signal generated by the inductance-to-number convertor using a proper algorithm. The conceived device is meant to be part of the “wear and forget” equipment dedicated to monitoring the vital signs continuously.

scholarly journals Unobtrusive Vital Sign Monitoring in Automotive Environments—A Review

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3080 ◽  
Author(s):  
Steffen Leonhardt ◽  
Lennart Leicht ◽  
Daniel Teichmann
Keyword(s):  
Optical Properties ◽  
Vital Sign ◽  
Vital Signs ◽  
Biological Tissues ◽  
The Body ◽  
Heart Activity ◽  
Car Seat ◽  
Activity Temperature ◽  
Passive Electrical Properties ◽  
Unobtrusive Sensing

This review provides an overview of unobtrusive monitoring techniques that could be used to monitor some of the human vital signs (i.e., heart activity, breathing activity, temperature and potentially oxygen saturation) in a car seat. It will be shown that many techniques actually measure mechanical displacement, either on the body surface and/or inside the body. However, there are also techniques like capacitive electrocardiogram or bioimpedance that reflect electrical activity or passive electrical properties or thermal properties (infrared thermography). In addition, photopleythysmographic methods depend on optical properties (like scattering and absorption) of biological tissues and—mainly—blood. As all unobtrusive sensing modalities are always fragile and at risk of being contaminated by disturbances (like motion, rapidly changing environmental conditions, triboelectricity), the scope of the paper includes a survey on redundant sensor arrangements. Finally, this review also provides an overview of automotive demonstrators for vital sign monitoring.

scholarly journals Measurement of Heart Rate, and Body Temperature Based on Android Platform

2020 ◽  
Vol 2 (1) ◽  
pp. 26-33
Author(s):  
Musyahadah Arum Pertiwi ◽  
I Dewa Gede Hari Wisana ◽  
Triwiyanto Triwiyanto ◽  
Sasivimon Sukaphat
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Temperature Sensor ◽  
Liquid Crystal Display ◽  
Vital Signs ◽  
Health Condition ◽  
The Body ◽  
Digital Data ◽  
Mental Condition ◽  
Measurement Results

Heart rate and body temperature can be used to determine the vital signs of humans. Heart rate and body temperature are two important parameters used by paramedics to determine the physical health condition and mental condition of a person. Because if your heart rate or body temperature is not normal then you need to make further efforts to avoid things that are not desirable. The purpose of this study is to design a heart rate and body temperature. In this study, the heart rate is detected using a finger sensor which placed on the finger. This sensor detects the heart rate pulses through infrared absorption of blood hemoglobin, and measure the body temperature using a DS18B20 temperature sensor which is placed axially. DS18B20 sensor works by converting temperature into digital data. The measurement results will be displayed on liquid crystal display (LCD) 2 x 16 and the data will be sent to android mobile phone via Bluetooth.  After the comparision beetwen the desain and the standart, the error is 0.46% for beats per minutes (BPM) parameters and 0.31 degrees Celsius for temperature parameters.

Intelligent Bed Sheet Detects Respiratory Patterns

2018 ◽  
Vol 62 (1) ◽  
pp. 1177-1181 ◽  
Author(s):  
Laura Nicholson ◽  
Olivia Lin ◽  
Edward Shim
Keyword(s):  
Continuous Monitoring ◽  
Resource Constraints ◽  
New Technology ◽  
Vital Signs ◽  
The Body ◽  
Second Phase ◽  
Age In Place ◽  
Sensor Validation ◽  
Health Canada ◽  
Respiratory Conditions

A new technology using an intelligent bed sheet made of fabric sensors is described as a novel advancement that supports wireless and continuous monitoring of vital signs without requiring wire attachments to the body. The intelligent bed sheet developed by Studio 1 Labs Inc. (Studio 1 Labs), can be used to support three distinct groups: i) healthcare institutions with human resource constraints, ii) caregivers who provide care for seniors, infants and children at home, and iii) independent seniors who prefer to age in place. This article describes two complementary research phases using the intelligent bed sheet to detect heart rate, respiratory rate, and respiratory effort. The first phase explores sensor validation from the intelligent bed sheet with preset respiratory conditions from high technology mannequins. The second phase involves a use case with healthy young adults comparing between physiological signals from the bed sheet with standard nursing protocols of manual counts and a pulse oximeter approved by Health Canada.

scholarly journals Mobile Self-Monitoring ECG Devices to Diagnose Arrhythmia that Coincide with Palpitations: A Scoping Review

Healthcare ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 96 ◽  
Author(s):  
Hannah Ramsden Marston ◽  
Robin Hadley ◽  
Duncan Banks ◽  
María Del Carmen Miranda Duro
Keyword(s):  
Primary Care ◽  
Mobile Devices ◽  
Scoping Review ◽  
Care Pathway ◽  
Primary Care Providers ◽  
Positive Trend ◽  
Care Providers ◽  
Heart Monitoring ◽  
The Impact ◽  
Monitoring Devices

The use and deployment of mobile devices across society is phenomenal with an increasing number of individuals using mobile devices to track their everyday health. However, there is a paucity of academic material examining this recent trend. Specifically, little is known about the use and deployment of mobile heart monitoring devices for measuring palpitations and arrhythmia. In this scoping literature review, we identify the contemporary evidence that reports the use of mobile heart monitoring to assess palpitations and arrhythmia across populations. The review was conducted between February and March 2018. Five electronic databases were searched: Association for Computing Machinery (ACM), CINHAL, Google Scholar, PubMed, and Scopus. A total of 981 records were identified and, following the inclusion and exclusion criteria, nine papers formed the final stage of the review. The results identified a total of six primary themes: purpose, environment, population, wearable devices, assessment, and study design. A further 24 secondary themes were identified across the primary themes. These included detection, cost effectiveness, recruitment, type of setting, type of assessment, and commercial or purpose-built mobile device. This scoping review highlights that further work is required to understand the impact of mobile heart monitoring devices on how arrhythmias and palpitations are assessed and measured across all populations and ages of society. A positive trend revealed by this review demonstrates how mobile heart monitoring devices can support primary care providers to deliver high levels of care at a low cost to the service provider. This has several benefits: alleviation of patient anxiety, lowering the risk of morbidity and mortality, while progressively influencing national and international care pathway guidelines. Limitations of this work include the paucity of knowledge and insight from primary care providers and lack of qualitative material. We argue that future studies consider qualitative and mixed methods approaches to complement quantitative methodologies and to ensure all actors’ experiences are recorded.

scholarly journals Cyclostationary-Based Vital Signs Detection Using Microwave Radar at 2.5 GHz

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3396
Author(s):  
Fatima Sekak ◽  
Kawtar Zerhouni ◽  
Fouzia Elbahhar ◽  
Madjid Haddad ◽  
Christophe Loyez ◽  
...  
Keyword(s):  
Continuous Wave ◽  
Vital Signs ◽  
The Body ◽  
Contact Detection ◽  
Body Movements ◽  
Non Invasive ◽  
Microwave Radar ◽  
Reflected Signal ◽  
The Impact ◽  
Invasive Measurement

Non-contact detection and estimation of vital signs such as respiratory and cardiac frequencies is a powerful tool for surveillance applications. In particular, the continuous wave bio-radar has been widely investigated to determine the physiological parameters in a non-contact manner. Since the RF-reflected signal from the human body is corrupted by noise and random body movements, traditional Fourier analysis fails to detect the heart and breathing frequencies. In this effort, cyclostationary analysis has been used to improve the radar performance for non-invasive measurement of respiratory rate and heart rate. However, the preliminary works focus only on one frequency and do not include the impact of attenuation and random movement of the body in the analysis. Hence in this paper, we evaluate the impact of distance and noise on the cyclic features of the reflected signal. Furthermore, we explore the assessment of second order cyclostationary signal processing performance by developing the cyclic mean, the conjugate cyclic autocorrelation and the cyclic cumulant. In addition, the analysis is carried out using a reduced number of samples to reduce the response time. Implementation of the cyclostationary technique using a bi-static radar configuration at 2.5 GHz is shown as an example to demonstrate the proposed approach.

A Contact-Free Monitor of Human’S Vital Signs

2011 ◽  
Vol 138-139 ◽  
pp. 1063-1066
Author(s):  
Guo Hua Lu ◽  
Fang Fang ◽  
Xi Jing Jing ◽  
Xiao Yu ◽  
Jian Qi Wang
Keyword(s):  
Heart Rate ◽  
Vital Signs ◽  
The Body ◽  
Health State ◽  
Breathing Rate ◽  
Heart Rates ◽  
Microwave Sensor ◽  
Measure Heart Rate ◽  
Contact Free ◽  
Rate Comparison

Heart rates and breathing rates are widely used to assess the health state of human in clinic. Tranditional method uses eletrodes or sensors touching the body to measure electrocardiography (ECG) and respiratory signals.A vital signs monitor via a micorwave sensor was disscused to contact-free measurement of the heart rate and breathing rate. Comparison of vital signs derived from the microwave sensor and tranditional contact monitor demonstrated that there were no significant differences between each other, which suggested the contact-free vital signs monitor may prove a practical alternative method to measure heart rate and breathing rate.

scholarly journals Heart Rate Measurement based on Color Signal Extraction

2019 ◽  
Vol 8 (10) ◽  
pp. 1990-1993
Keyword(s):  
Heart Rate ◽  
Pulse Rate ◽  
Vital Signs ◽  
The Body ◽  
Signal Extraction ◽  
Rate Measurement ◽  
Heart Rate Measurement ◽  
Blue Channel ◽  
Color Channels

Photoplethysmography measures vital signs through to extraction of signals from the body. The paper explains the technique for extraction of pulse rate from the videos for three color channels namely; red, green and blue. The DMIMS database is used for experimentation which consists of total 720 videos out of which 25 videos are used for analysis. The results presented in this paper depict that our algorithm works best for blue channel followed by green and then red channel. The main focus of paper is to extract pulse rate from the recorded video and compare the output for different channels and find the best channel for heart rate extraction.

scholarly journals Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants

2021 ◽  
Vol 118 (43) ◽  
pp. e2104925118
Author(s):  
Hyoyoung Jeong ◽  
Sung Soo Kwak ◽  
Seokwoo Sohn ◽  
Jong Yoon Lee ◽  
Young Joong Lee ◽  
...  
Keyword(s):  
Inertial Sensors ◽  
Low Cost ◽  
Body Movement ◽  
Vital Signs ◽  
The Body ◽  
Therapeutic Interventions ◽  
Machine Learning Techniques ◽  
Detection Methods ◽  
Integrated Sensor ◽  
Full Body

Early identification of atypical infant movement behaviors consistent with underlying neuromotor pathologies can expedite timely enrollment in therapeutic interventions that exploit inherent neuroplasticity to promote recovery. Traditional neuromotor assessments rely on qualitative evaluations performed by specially trained personnel, mostly available in tertiary medical centers or specialized facilities. Such approaches are high in cost, require geographic proximity to advanced healthcare resources, and yield mostly qualitative insight. This paper introduces a simple, low-cost alternative in the form of a technology customized for quantitatively capturing continuous, full-body kinematics of infants during free living conditions at home or in clinical settings while simultaneously recording essential vital signs data. The system consists of a wireless network of small, flexible inertial sensors placed at strategic locations across the body and operated in a wide-bandwidth and time-synchronized fashion. The data serve as the basis for reconstructing three-dimensional motions in avatar form without the need for video recordings and associated privacy concerns, for remote visual assessments by experts. These quantitative measurements can also be presented in graphical format and analyzed with machine-learning techniques, with potential to automate and systematize traditional motor assessments. Clinical implementations with infants at low and at elevated risks for atypical neuromotor development illustrates application of this system in quantitative and semiquantitative assessments of patterns of gross motor skills, along with body temperature, heart rate, and respiratory rate, from long-term and follow-up measurements over a 3-mo period following birth. The engineering aspects are compatible for scaled deployment, with the potential to improve health outcomes for children worldwide via early, pragmatic detection methods.

scholarly journals Feature Extraction For Application of Heart Abnormalities Detection Through Iris Based on Mobile Devices

2018 ◽  
Vol 5 (2) ◽  
pp. 312-327 ◽  
Author(s):  
Entin Martiana Kusumaningtyas ◽  
Ali Ridho Barakbah ◽  
Aditya Afgan Hermawan
Keyword(s):  
Feature Extraction ◽  
Heart Disease ◽  
Mobile Devices ◽  
Cause Of Death ◽  
Extraction Process ◽  
The Body ◽  
Health Practitioner ◽  
Black And White ◽  
Heart Abnormalities ◽  
Binarization Method

As the WHO says, heart disease is the leading cause of death and examining it by current methods in hospitals is not cheap. Iridology is one of the most popular alternative ways to detect the condition of organs. Iridology is the science that enables a health practitioner or non-expert to study signs in the iris that are capable of showing abnormalities in the body, including basic genetics, toxin deposition, circulation of dams, and other weaknesses. Research on computer iridology has been done before. One is about the computer's iridology system to detect heart conditions. There are several stages such as capture eye base on target, pre-processing, cropping, segmentation, feature extraction and classification using Thresholding algorithms. In this study, feature extraction process performed using binarization method by transforming the image into black and white. In this process we compare the two approaches of binarization method, binarization based on grayscale images and binarization based on proximity. The system we proposed was tested at Mugi Barokah Clinic Surabaya.  We conclude that the image grayscale approach performs better classification than using proximity.

scholarly journals A Software for Preprocessing Experimental BSPM Signals for a CRT Study

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 69
Author(s):  
Huptych ◽  
Hrachovina ◽  
Lhotská
Keyword(s):  
Body Surface ◽  
The Body ◽  
Cardiac Resynchronization ◽  
Heart Activity ◽  
Body Surface Potential Mapping ◽  
Body Surface Potential ◽  
Characteristic Points ◽  
Potential Mapping ◽  
The Difference ◽  
Surface Potential Mapping

In this text, we describe the developed system for Body Surface Potential Mapping (BSPM) signals preprocessing and basic processing. The BSPM is based on multichannel ECG measurement with up to hundreds of electrodes in a specific grid on the body surface. The project is focused on the signals of patients after cardiac resynchronization therapy (CRT). These patients are indicated for CRT because of heart failure, and it is necessary to realize the difference in electrical and mechanical heart activity of such patients. The presented software is designed according to the specific conditions of the issue, with respect to minimization of the morphology distortion during filtering and specificity during signal delineation (finding of ECG characteristic points).

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