An IoT-Based Framework for Health Monitoring Systems

2019 ◽  
Vol 2 (1) ◽  
pp. 43-60 ◽  
Author(s):  
N. Sudhakar Yadav ◽  
K. G. Srinivasa ◽  
B. Eswara Reddy

A software framework is a reusable design that requires various software components to function almost out of the box. To specify a framework, the creator must specify the different components that form the framework and how to instantiate them. Also, the communication interfaces between these various components must be defined. In this article, the authors propose such a framework based on the internet of things (IoT) for developing applications for handling emergencies of some kind. This article demonstrates the usage of the framework by explaining various applications such as tracking the status of autistic students, analytics on medical records to detect and mitigate chronic heart diseases in the Indian demographic, prediction of Parkinson's disease, determining the type of disease that corresponds to the dermatology field, and health monitoring and management using internet of things (IoT) sensing.

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Malik Bader Alazzam ◽  
Fawaz Alassery ◽  
Ahmed Almulihi

The Internet of Things (IoT) has enabled the invention of smart health monitoring systems. These health monitoring systems can track a person’s mental and physical wellness. Stress, anxiety, and hypertension are key causes of many physical and mental disorders. Age-related problems such as stress, anxiety, and hypertension necessitate specific attention in this setting. Stress, anxiety, and blood pressure monitoring can prevent long-term damage by detecting problems early. This will increase the quality of life and reduce caregiver stress and healthcare costs. Determine fresh technology solutions for real-time stress, anxiety, and blood pressure monitoring using discreet wearable sensors and machine learning approaches. This study created an automated artefact detection method for BP and PPG signals. It was proposed to automatically remove outlier points generated by movement artefacts from the blood pressure signal. Next, eleven features taken from the oscillometric waveform envelope were utilised to analyse the relationship between diastolic blood pressure (SBP) and systolic blood pressure (DBP). This paper validates a proposed computational method for estimating blood pressure. The proposed architecture leverages sophisticated regression to predict systolic and diastolic blood pressure values from PPG signal characteristics.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Sung-Phil Heo ◽  
Suyong Jeong

The Internet of things (IoT) helps our everyday lives such as by monitoring objects and tracking behaviors in various settings, but studies on enhancing the bathroom experience are rare. This article describes full details about development and implementation of a smart health-monitoring bidet based on our study published previously in the conference. A smart bidet system is designed to monitor the users’ health through several contact-type sensors, such as pressure, oxygen, and thermometer. The system is equipped with a built-in artificial intelligence software platform and is designed to detect anal and spinal diseases. The attached sensors normally operate under waterproof conditions: we tested their performances under X6 international protection marking conditions. These devices were designed to operate properly even in extremely waterproof conditions. The temperature, pressure, and oxygen sensors of the bidet system had error rates of about 4.1, 0.6, and 1.1 percent, respectively.


2019 ◽  
Vol 8 (3) ◽  
pp. 2613-2619

The Internet of Things (IoT) technology is the main contributor in numerous smart applications. The reason is because it offers for 24/7 hours of control and maintenance geographically apart, thus reduces labor or manpower cost significantly. The 3 main components for any IoT applications are the source of power (energy), the microcontroller and the sensor (s) involved. Previous issues mainly related to how long the source of power could last for the applications to continue its operation. This paper presents IoT technology for hygiene application to address the utilization of toilet tissue named as Intelligent Tissue Dispenser System (iTDS). The iTDS device relies on the microcontroller and sensor in order to operate the intended task. The microcontroller used is an IoT based device called ESP8266 which is a WiFi-embedded microcontroller that utilized standard everyday WiFi band frequency which is at 2.4 GHz. For the sensor, an ultrasonic distance measurement device is used. The ultrasonic sensor transmit an ultrasonic wave that hit the object to be measured. Upon hitting the surface of the object to be measured, the wave is then reflected to the receiver of the sensor and the time difference between transmitted wave and received wave is calculated to get the actual distance of the object from the sensor. The main contribution of iTDS is to monitor and track for the toilet tissue to be refilled. The implementation shows the iTDS ables to update for the status of each tissue which reducing the cost of manually human checking for tissue refill.


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