scholarly journals A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Priyanka Kakria ◽  
N. K. Tripathi ◽  
Peerapong Kitipawang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Health Monitoring ◽  
Data Security ◽  
High Speed ◽  
Low Cost ◽  
Wearable Sensors ◽  
Healthcare Services ◽  
Cardiac Patients ◽  
The Cost

Online telemedicine systems are useful due to the possibility of timely and efficient healthcare services. These systems are based on advanced wireless and wearable sensor technologies. The rapid growth in technology has remarkably enhanced the scope of remote health monitoring systems. In this paper, a real-time heart monitoring system is developed considering the cost, ease of application, accuracy, and data security. The system is conceptualized to provide an interface between the doctor and the patients for two-way communication. The main purpose of this study is to facilitate the remote cardiac patients in getting latest healthcare services which might not be possible otherwise due to low doctor-to-patient ratio. The developed monitoring system is then evaluated for 40 individuals (aged between 18 and 66 years) using wearable sensors while holding an Android device (i.e., smartphone under supervision of the experts). The performance analysis shows that the proposed system is reliable and helpful due to high speed. The analyses showed that the proposed system is convenient and reliable and ensures data security at low cost. In addition, the developed system is equipped to generate warning messages to the doctor and patient under critical circumstances.

scholarly journals Machine-Learning-Based Elderly Stroke Monitoring System Using Electroencephalography Vital Signals

2021 ◽  
Vol 11 (4) ◽  
pp. 1761
Author(s):  
Yoon-A Choi ◽  
Sejin Park ◽  
Jong-Arm Jun ◽  
Chee Meng Benjamin Ho ◽  
Cheol-Sig Pyo ◽  
...  
Keyword(s):  
Heart Disease ◽  
Real Time ◽  
Monitoring System ◽  
Imaging Techniques ◽  
Low Cost ◽  
The Elderly ◽  
Healthcare Services ◽  
Early Disease Detection ◽  
Magnetic Resonance Imaging Mri ◽  
And Performance

Stroke is the third highest cause of death worldwide after cancer and heart disease, and the number of stroke diseases due to aging is set to at least triple by 2030. As the top three causes of death worldwide are all related to chronic disease, the importance of healthcare is increasing even more. Models that can predict real-time health conditions and diseases using various healthcare services are attracting increasing attention. Most diagnosis and prediction methods of stroke for the elderly involve imaging techniques such as magnetic resonance imaging (MRI). It is difficult to rapidly and accurately diagnose and predict stroke diseases due to the long testing times and high costs associated with MRI. Thus, in this paper, we design and implement a health monitoring system that can predict the precursors of stroke diseases in the elderly in real time during daily walking. First, raw electroencephalography (EEG) data from six channels were preprocessed via Fast Fourier Transform (FFT). The raw EEG power values were then extracted from the raw spectra: alpha (α), beta (β), gamma (γ), delta (δ), and theta (θ) as well as the low β, high β, and θ to β ratio, respectively. The experiments in this paper confirm that the important features of EEG biometric signals alone during walking can accurately determine stroke precursors and occurrence in the elderly with more than 90% accuracy. Further, the Random Forest algorithm with quartiles and Z-score normalization validates the clinical significance and performance of the system proposed in this paper with a 92.51% stroke prediction accuracy. The proposed system can be implemented at a low cost, and it can be applied for early disease detection and prediction using the precursor symptoms of real-time stroke. Furthermore, it is expected that it will be able to detect other diseases such as cancer and heart disease in the future.

scholarly journals A survey on instantaneous data transmission in Wireless Sensor Networks for Healthcare Monitoring

2021 ◽  
Author(s):  
THIRUKRISHNA JT ◽  
Aishwarya M V ◽  
Mansi Singh ◽  
Mounisha B ◽  
Naksha Kaveri
Keyword(s):  
Real Time ◽  
Health Monitoring ◽  
Low Cost ◽  
Wearable Sensors ◽  
Vital Signs ◽  
Battery Life ◽  
Labview Software ◽  
Care Givers ◽  
Heart Patients ◽  
Monitoring Framework

Abstract Real time health monitoring using WSN of imbed and wearable sensors is visualized as a continual monitoring solution of bedridden outpatient with motility. This paper aims to implement an instantaneous patient monitoring framework, which is proficient in collecting, transmitting and monitoring patient’s perceptual conditions. In present Health monitoring frameworks, the patients are supervised by medical professionals using various equipment’s which are hardwired to nearby bedside monitors or PCs, and essentially this equipment’s are substantial and consequently it keeps patients confine to bed. The drawbacks of these frameworks may affect the patient’s mobility during monitoring the vital signs. Our proposed real time health monitoring framework can detect patient’s health conditions like pulse rate, body temperature and electrocardiograph using different bio sensors, the collected data will be processed using ARM7LPC2148 and the processed data is efficiently transferred wirelessly to LabVIEW software via ZigBee. In case of abnormalities, the SMS will be sent to doctor’s/care givers using GSM. In addition, the proposed framework uses ZigBee technology since it is low cost and achieves low power usage to maximize the network lifetime, accelerate and expand transmission protocols and also battery life is significantly improved. This framework will help patients to recover easily and also provides enhanced medical care to patients at a low cost. Furthermore, the framework provides profitable benefits for virtually monitoring individuals living away from the remote areas, old individuals, heart patients and can be used for COVID-19 patients in home and hospitals thereby improving medical administrations.

An On-Line Monitoring System to Recognize Stitch Defects Through Thread Motion and High Speed Image Analyses

1999 ◽  
Vol 121 (1) ◽  
pp. 104-108 ◽  
Author(s):  
R. N. Cox ◽  
K. J. Titus ◽  
T. G. Clapp
Keyword(s):  
Monitoring System ◽  
High Speed ◽  
Low Cost ◽  
Data Acquisition System ◽  
Quality Monitoring ◽  
Piezoelectric Sensors ◽  
On Line ◽  
Sewing Threads ◽  
The Cost ◽  
Image Analyses

A sensor system that inspects a garment as it is being sewn has the potential to eliminate much of the cost associated with inspection and to improve product quality. An economically feasible on-line stitch quality monitoring system is under development that utilizes commercially-available, low-cost piezoelectric sensors and a PC-based Linux data acquisition system. The sensors respond to the vibration caused by the thread motion and output a corresponding waveform used to study and model the formation of single stitches. As a result, the presence of periodic occurrences can be identified and attributed to proper stitch formation. Conversely, the absence of such events can be utilized to signal the presence of single stitch defects and diagnose their causes. Finally, high speed image analysis of the sewing threads has verified conclusions drawn from the output signals of the piezoelectric sensors and contributed to a better understanding of the dynamics involved in high speed sewing.

Low-Cost High-Speed Techniques for Real-Time Simulation of Power Electronic Systems

2007 ◽  
Author(s):  
R. E. Crosbie ◽  
J. J. Zenor ◽  
R. Bednar ◽  
D. Word ◽  
N. G. Hingorani
Keyword(s):  
Real Time ◽  
High Speed ◽  
Low Cost ◽  
Electronic Systems ◽  
Power Electronic ◽  
Real Time Simulation ◽  
Time Simulation

scholarly journals Design and Adoption of Low-Cost Point-of-Care Diagnostic Devices: Syrian Case

Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 882
Author(s):  
M. Munzer Alseed ◽  
Hamzah Syed ◽  
Mehmet Cengiz Onbasli ◽  
Ali K. Yetisen ◽  
Savas Tasoglu
Keyword(s):  
Civil Wars ◽  
Healthcare Workers ◽  
New Technologies ◽  
Point Of Care ◽  
Low Cost ◽  
Healthcare Services ◽  
Efficient Solutions ◽  
Humanitarian Crises ◽  
Technology Experience ◽  
The Cost

Civil wars produce immense humanitarian crises, causing millions of individuals to seek refuge in other countries. The rate of disease prevalence has inclined among the refugees, increasing the cost of healthcare. Complex medical conditions and high numbers of patients at healthcare centers overwhelm the healthcare system and delay diagnosis and treatment. Point-of-care (PoC) testing can provide efficient solutions to high equipment cost, late diagnosis, and low accessibility of healthcare services. However, the development of PoC devices in developing countries is challenged by several barriers. Such PoC devices may not be adopted due to prejudices about new technologies and the need for special training to use some of these devices. Here, we investigated the concerns of end users regarding PoC devices by surveying healthcare workers and doctors. The tendency to adopt PoC device changes is based on demographic factors such as work sector, education, and technology experience. The most apparent concern about PoC devices was issues regarding low accuracy, according to the surveyed clinicians.

Smart and Low Cost Real Time Water Quality Monitoring System Using IoT

2019 ◽  
Author(s):  
Jeba Anandh S ◽  
Anandharaj M ◽  
Aswinrajan J ◽  
Karankumar G ◽  
Karthik P
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Quality Monitoring
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