Design and Validation of a Low-Cost Heart Health Monitoring Device

2018 ◽  
Author(s):  
Nuzhat Ahmed ◽  
Lucas Kline ◽  
Yong Zhu
Keyword(s):  
Heart Rate ◽  
Health Monitoring ◽  
Information Technologies ◽  
Low Cost ◽  
Heart Beat ◽  
Heart Health ◽  
Cardiac Events ◽  
Rr Intervals ◽  
Time Period ◽  
Normal Heart Rate

The heart health monitoring system is a combination of electronics, wireless communication, computer, and information technologies, which allows an individual to measure and analyze their heart rate in real time and also notifies them about any abnormal cardiac events. This project was performed with an objective of developing and validating a low-cost, portable system that will successfully detect symptomless Atrial Fibrillation (AF), which is considered to be one of the most common and frequent cardiac disorders. The prototype device will measure and analyze the heart beat variations and varying-time period between successive R peaks (RR intervals) of the ECG signal and will compare the results with the normal heart rate and RR intervals. Upon exceeding the threshold values, this device will create an alert to notify about the potential AF detection.

scholarly journals Early Detection of Atrial Fibrillation Based on ECG Signals

2020 ◽  
Vol 7 (1) ◽  
pp. 16
Author(s):  
Nuzhat Ahmed ◽  
Yong Zhu
Keyword(s):  
Atrial Fibrillation ◽  
Early Detection ◽  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Research Work ◽  
Threshold Values ◽  
Heart Health ◽  
Ecg Signals ◽  
Normal Heart Rate

Atrial fibrillation, often called AF is considered to be the most common type of cardiac arrhythmia, which is a major healthcare challenge. Early detection of AF and the appropriate treatment is crucial if the symptoms seem to be consistent and persistent. This research work focused on the development of a heart monitoring system which could be considered as a feasible solution in early detection of potential AF in real time. The objective was to bridge the gap in the market for a low-cost, at home use, noninvasive heart health monitoring system specifically designed to periodically monitor heart health in subjects with AF disorder concerns. The main characteristic of AF disorder is the considerably higher heartbeat and the varying period between observed R waves in electrocardiogram (ECG) signals. This proposed research was conducted to develop a low cost and easy to use device that measures and analyzes the heartbeat variations, varying time period between successive R peaks of the ECG signal and compares the result with the normal heart rate and RR intervals. Upon exceeding the threshold values, this device creates an alert to notify about the possible AF detection. The prototype for this research consisted of a Bitalino ECG sensor and electrodes, an Arduino microcontroller, and a simple circuit. The data was acquired and analyzed using the Arduino software in real time. The prototype was used to analyze healthy ECG data and using the MIT-BIH database the real AF patient data was analyzed, and reasonable threshold values were found, which yielded a reasonable success rate of AF detection.

scholarly journals Pulse Rate Monitoring Embedded System during Indoor Exercises Using Microcontroller

2019 ◽  
Vol 8 (3) ◽  
pp. 2064-2066
Keyword(s):  
Heart Rate ◽  
Embedded System ◽  
Low Cost ◽  
Heart Beat ◽  
Measuring Device ◽  
Non Invasive ◽  
Beat Rate ◽  
Proposed Model ◽  
Measure Heart Rate ◽  
Heart Beat Rate

In the current paper we have described the design, testing and result data of a low cost heart beat measuring device. The proposed model works on the properties of optics. Our model is non-invasive in nature and able to measure heart rate of any individual during different physical activities. We have also developed a better algorithm for measuring heart beat rate at a fixed interval of 5 seconds. The heart beat is counted by a specific microcontroller that displays the heart rate data on an LCD continuously. We have also measured the heart beat rate of an individual running on the trademill at variable speed and compared the result with our model.

Smart automated heart health monitoring using photoplethysmography signal classification

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Remya Raj ◽  
Jayakumar Selvakumar ◽  
Vivek Maik
Keyword(s):  
Health Monitoring ◽  
Matching Pursuit ◽  
Low Cost ◽  
Motion Artifact ◽  
Detection Algorithm ◽  
Low Rank ◽  
Heart Health ◽  
Cardiac Health ◽  
Real Time Analysis ◽  
User Friendly

AbstractThis paper proposes a smart, automated heart health-monitoring (SAHM) device using a single photoplethysmography (PPG) sensor that can monitor cardiac health. The SAHM uses an Orthogonal Matching Pursuit (OMP)-based classifier along with low-rank motion artifact removal as a pre-processing stage. Major contributions of the proposed SAHM device over existing state-of-the-art technologies include these factors: (i) the detection algorithm works with robust features extracted from a single PPG sensor; (ii) the motion compensation algorithm for the PPG signal can make the device wearable; and (iii) the real-time analysis of PPG input and sharing through the Internet. The proposed low-cost, compact and user-friendly PPG device can also be prototyped easily. The SAHM system was tested on three different datasets, and detailed performance analysis was carried out to show and prove the efficiency of the proposed algorithm.

Body Fitness Monitoring Using IoT Device

2018 ◽  
pp. 154-169 ◽  
Author(s):  
Govinda K.
Keyword(s):  
Human Body ◽  
Health Monitoring ◽  
Low Cost ◽  
Wearable Sensors ◽  
Wireless Body Area Network ◽  
Heart Beat ◽  
Sensor Nodes ◽  
Physiological Data ◽  
Area Network ◽  
Technological Advances

Recent technological advances in wireless communications and wireless sensor networks have enabled the design of intelligent, tiny, low-cost, and lightweight medical sensor nodes that can be placed on the human body strategically. The focus of this chapter is to implement the health monitoring system continuously without hospitalization using wearable sensors and create a wireless body area network (WBAN). Wearable sensors monitor the parameters of the human body like temperature, pressure, and heart beat by using sensors and providing real-time feedback to the user and medical staff and WBANs promise to revolutionize health monitoring. In this chapter, medical sensors are used to collect physiological data from patients and transmit it to the system which has details of an individual stored using Bluetooth/Wi-Fi with the help of Arduino and to medical server using Wi-Fi/3G communications.

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

Evaluation of Normal Heart Rate in Early Pregnancy Corresponding to Gestational Age between Six to Eight Weeks

Med Phoenix ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 34-37
Author(s):  
Akhilesh Kumar Jha ◽  
Bikranta Rimal ◽  
Tarannum Khatun
Keyword(s):  
Heart Rate ◽  
Early Pregnancy ◽  
Well Being ◽  
Clinical Decision ◽  
First Trimester ◽  
Normal Heart ◽  
Normal Heart Rate ◽  
First Trimester Of Pregnancy ◽  
Singleton Pregnancies

Background: Ultrasonography is the reliable and safe way for the evaluation of pregnancy. Heart rate can be detected more confidently from the Ultrasonography. Heart rate is an important parameter for the evaluation of early pregnancy. The purpose of this study was to evaluate the normal heart rate in embryos/fetuses between 6 and 8 weeks of gestation.Method: In our region people are poor and most of them do not know the benefit of regular follow up examination during pregnancy. So most of pregnant women come to our centre at late stage of pregnancy. The number of pregnancy cases is good in our centre but the number of early pregnancy cases coming to regular follow up examination is low. Thus the study was conducted in 51 normal singleton pregnancies undergoing routine ultrasound examination during the first trimester of pregnancy. The duration of study was 6 weeks.Result: Out of 51 singleton pregnancies, 20 cases (39.2%) heart rate were between 131-150 beat per minute and 25 cases (49.0 %) heart rate were between 151-170 beat per minute. However 4 cases (7.8%) were between 110-120 beat per minute and 2 cases (3.9%) were more than 171 beat per minute. There were zero cases above the 180 beat per minute.Conclusion: The result of this study will help to evaluate abnormal and normal fetal heart rate so that early clinical decision whether to continue the pregnancy or terminate it can be taken, as Ultrasonography is only the method used in screening fetal well being in most of the region of our country.Med Phoenix Vol.2(1) July 2017, 34-37

scholarly journals Biomechanics of Trail Running Performance: Quantification of Spatio-Temporal Parameters by Using Low Cost Sensors in Ecological Conditions

2021 ◽  
Vol 11 (5) ◽  
pp. 2093
Author(s):  
Noé Perrotin ◽  
Nicolas Gardan ◽  
Arnaud Lesprillier ◽  
Clément Le Goff ◽  
Jean-Marc Seigneur ◽  
...  
Keyword(s):  
Heart Rate ◽  
Low Cost ◽  
Step Length ◽  
Measurement Unit ◽  
Ecological Conditions ◽  
Sports Science ◽  
Ground Contact Time ◽  
Spatio Temporal ◽  
Performance Results ◽  
Trail Running

The recent popularity of trail running and the use of portable sensors capable of measuring many performance results have led to the growth of new fields in sports science experimentation. Trail running is a challenging sport; it usually involves running uphill, which is physically demanding and therefore requires adaptation to the running style. The main objectives of this study were initially to use three “low-cost” sensors. These low-cost sensors can be acquired by most sports practitioners or trainers. In the second step, measurements were taken in ecological conditions orderly to expose the runners to a real trail course. Furthermore, to combine the collected data to analyze the most efficient running techniques according to the typology of the terrain were taken, as well on the whole trail circuit of less than 10km. The three sensors used were (i) a Stryd sensor (Stryd Inc. Boulder CO, USA) based on an inertial measurement unit (IMU), 6 axes (3-axis gyroscope, 3-axis accelerometer) fixed on the top of the runner’s shoe, (ii) a Global Positioning System (GPS) watch and (iii) a heart belt. Twenty-eight trail runners (25 men, 3 women: average age 36 ± 8 years; height: 175.4 ± 7.2 cm; weight: 68.7 ± 8.7 kg) of different levels completed in a single race over a 8.5 km course with 490 m of positive elevation gain. This was performed with different types of terrain uphill (UH), downhill (DH), and road sections (R) at their competitive race pace. On these sections of the course, cadence (SF), step length (SL), ground contact time (GCT), flight time (FT), vertical oscillation (VO), leg stiffness (Kleg), and power (P) were measured with the Stryd. Heart rate, speed, ascent, and descent speed were measured by the heart rate belt and the GPS watch. This study showed that on a ≤10 km trail course the criteria for obtaining a better time on the loop, determined in the test, was consistency in the effort. In a high percentage of climbs (>30%), two running techniques stand out: (i) maintaining a high SF and a short SL and (ii) decreasing the SF but increasing the SL. In addition, it has been shown that in steep (>28%) and technical descents, the average SF of the runners was higher. This happened when their SL was shorter in lower steep and technically challenging descents.

scholarly journals Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

Vibration ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 551-584
Author(s):  
Samir Mustapha ◽  
Ye Lu ◽  
Ching-Tai Ng ◽  
Pawel Malinowski
Keyword(s):  
Sensor Networks ◽  
Health Monitoring ◽  
Data Transmission ◽  
System Integration ◽  
Structural Integrity ◽  
Low Cost ◽  
Data Communication ◽  
Total Cost ◽  
Design And Optimization ◽  
Successful Case

The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide a robust and low-cost solution for monitoring the structural integrity of and the ability to predict the remaining life of structures. In this review, we aim at focusing on one of the important issues of SHM, the design, and implementation of sensor networks. Location and number of sensors, in any SHM system, are of high importance as they impact the system integration, system performance, and accuracy of assessment, as well as the total cost. Hence we are interested in shedding the light on the sensor networks as an essential component of SHM systems. The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission, and analytics. Finally, we presented some successful case studies including the challenges and limitations associated with the sensor networks.

scholarly journals Terrain Analysis of Biu Plateau, for Road Transport Development, Borno State, Nigeria

2014 ◽  
Vol 6 (2) ◽  
pp. 28
Author(s):  
Ikusemoran Mayomi ◽  
John Abdullahi ◽  
Anthony Dami
Keyword(s):  
Information Technologies ◽  
Low Cost ◽  
Road Transport ◽  
Accurate Information ◽  
Terrain Analysis ◽  
Road Transportation ◽  
Digital Elevation ◽  
Human Energy ◽  
Road Planning ◽  
Steep Slopes

Among all the means of transportation, road has been described as the most important, probably because of its flexibility and its low cost in terms of construction, maintenance and usage. However, in Nigeria, road is considered to be the most dangerous means of transportation because of their bad nature such as sharp bends, narrow bridges, steep slopes and other related problems which are associated with the terrain where these roads are constructed. Road transportation therefore needs proper planning and development through the use of geo-information technologies that would ease accessibility reduces human energy and yet brings reliable and accurate information on the terrain. In this paper, Ilwis 3.5 was used to create Digital Elevation Modelling (DEM), Shadowing, 3-Dimentional View, Slope maps and river direction maps of Biu plateau to analyze the use of GIS on road planning and development on the plateau. It was revealed that the technique has great capabilities of terrain analysis as features which are deemed humanly impossible to assess are viewed as if one is at the scene which may enhance quick analysis on road transportation. It was therefore, recommended that all the stake holders in road transportation should employ the use of this geo-information techniques in terrain analysis to ease transport planning and development in the area.

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