Wearable and flexible sensors for user-interactive health-monitoring devices

2018 ◽  
Vol 6 (24) ◽  
pp. 4043-4064 ◽  
Author(s):  
Minjeong Ha ◽  
Seongdong Lim ◽  
Hyunhyub Ko

The development of flexible and wearable healthcare devices facilitates a real-time monitoring of body activities as well as detecting various biosignals, which provided useful information to manage one's health condition for personal health monitoring.

Heart disease remains as the major cause of death encompassed by Malaysians over the past ten years starting from 2005 until 2014. There are many factors that influenced this statistical measurement. One of the most influential factors is due to insufficient space for medical placement provided by the hospitals. The purpose of this study is to develop a smart bed health monitoring system based on electrocardiography (ECG) and body temperature sensors. Arduino IDE software was used for Internet of Things (IoT) and LabVIEW software for real time monitoring. Data can be seen through a website, which can help the doctors to monitor their patients’ data from a long distance. The result of the project was compared with existing monitoring devices used for heart rate (Hand Wrist Heart Monitoring and Galaxy Watch) and body temperature (Rossmax Monitoring TG380 Thermometer) which available in the market. These comparisons were conducted by several experiments to analyze its accuracy and reliability. The comparison of data between real time monitoring and IoT was analyzed to check for the effectiveness of data via internet. The result showed that the highest percentage of error for both parameters of heart rate and body temperature were less than 4.2%. This system able to interpret an individual’s level of healthiness such as bradycardia, tachycardia and fever which can be monitored in real time monitoring.


2021 ◽  
Vol 110 ◽  
pp. 05001
Author(s):  
Nataliya Apatova ◽  
Oleg Korolyov ◽  
Sergey Ivanov

Personal health monitoring is especially necessary in a pandemic of COVID19 and based on objective and subjective data. Modern medicine uses numerous diagnostic devices, many of which are for personal health monitoring. Applications for mobile phones are becoming more widespread, they make a possibility constantly monitor vital signs for a person. However, the consolidation into a single personalized database of information on daily mobile monitoring and examination results from various doctors in various medical organizations not yet carried out. Proposed to build a blockchain from this data and results of data analysis add subjective sensations and indicators to it, which clarified during the conversation with the doctor and not always fully and correctly transmitted by the patient. Using an integrated approach to personal health monitoring, building a blockchain from official data and personal objective and subjective indicators makes it possible to identify at the early stages of the disease, to have a complete and reliable picture of the state of health.


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