IOT in wireless health monitoring

Running head: IOT in wireless health monitoring
IOT in wireless health monitoring
Name of the Student
Name of the University
Author Note

1
IOT in wireless health monitoring
Task 1: annotated bibliography
Almotiri, S. H., Khan, M. A., & Alghamdi, M. A. (2016, August). Mobile health (m-
health) system in the context of IoT. In 2016 IEEE 4th International Conference on
Future Internet of Things and Cloud Workshops (FiCloudW) (pp. 39-42). IEEE.
In this paper, the authors have discussed about implementation of mobile-based healthcare
system with application of IOT. The discussion on fundamental characterises of mobile based
healthcare system in this paper is very important to identify true potential of IOT application
in healthcare. The author have discussed characteristics such as compactness of devices,
communication through IP technology, less power consumption and security of the devices.
The authors have proposed for medical data acquisition form medical gadgets and from the
wearable devoices which are becoming highly popular among public. These data according to
the authors if properly analysed, has potential to provide information about medical
conditions such as blood sugar level, blood pressure level and various other medical
information as required for analysis. However, the authors also mentioned that even though
IOT has a huge potential in medical sector and wireless health monitoring system, security if
the IOT devices and health related data is a major issue that needs to be properly analysed for
providing efficient and secure healthcare facility to the people. In order to secure, the system
the authors have proposed for physical safeguards for restricting users to access the data
centre without authorization, technical safeguards that include implementing access control
with user ID, strong password, encrypted electronic storage along with encryption in data
transfer. In addition to that, the authors have proposed for technical policies and network
level security for securing data transfer through email, internet and other electronic data
transmission method as well. Investing in IOT security in healthcare is worth considering as
provide various benefits to the patient in various way such as faster diagnosis, monitoring of
patient remotely along with facilitation for home-based rehabilitation. IOT according to the

2
IOT in wireless health monitoring
authors have potential for reducing overall cost for healthcare and it is capable for reducing
needs for hospitalization when there is no need for that.
Gupta, M. S. D., Patchava, V., & Menezes, V. (2015, October). Healthcare based on iot
using raspberry pi. In 2015 International Conference on Green Computing and Internet
of Things (ICGCIoT) (pp. 796-799). IEEE.
The authors have proposed for a wireless healthcare monitoring system that is monitored and
controlled through Raspberry pi, which is not only compact, but also efficient as well for data
collection and data processing. It is an ARM11 microprocessor and might be considered as
single board computer. This system as proposed by the authors has been designed for
continuous monitoring of various health related parameters important for healthcare services
wirelessly. The data that is collected by the system through the sensors integrated with the
Raspberry pi and these data is stored in the database that is connected with the system. As
these data are stored in the database, it is possible to access this data from anywhere through
internet thus increasing data integrity, data availability as well as data collaboration, which is
required for ensuring effective healthcare facility through IOT.
Ahn, B. G., Noh, Y. H., & Jeong, D. U. (2015, November). Smart chair based on multi
heart rate detection system. In 2015 IEEE SENSORS (pp. 1-4). IEEE.
According to this article, although IOT has become highly popular in healthcare sector as it
promise a comprehensive and integrated healthcare system, there are still some issue that
requires effective assessment and evaluation,. One such issue is measurement of bi-signal,
which effect health-monitoring system with real-time data analysis, and hence accuracy in
measurement is required.
Now in this research the authors have analysed effect of activity level and location on bio-
signal measurement. This paper has further identified that, as age is increased, human posture

3
IOT in wireless health monitoring
varies significantly leading to non-constrained which makes analysis of ECG measurement
difficult. Hence, the authors have proposed for a smart chair, which might be applied to make
ballistocardiogram measurement consistent and provide reliable analysis for patient
monitoring. This smart chair is capable of measuring physiological signals while the patient
is in seating position as this smart chair is capable of sensing bio-signals that are non-
constrained in nature and hence effective for patient monitoring with enhanced reliability and
accuracy.
Chiuchisan, I., Costin, H. N., & Geman, O. (2014, October). Adopting the internet of
things technologies in health care systems. In 2014 International Conference and
Exposition on Electrical and Power Engineering (EPE) (pp. 532-535). IEEE.
The authors have proposed for a framework to address the issue of threats that patient might
encounter in smart ICUS. Now according to this paper, when patient are being treated in
smart ICUs, it is important to collect data about patient condition and provide this data to the
doctors who are in charge of the patient. Now the framework as discussed in this context, not
only monitors the patient in real time, but also analyse the data in real time, which makes the
system capable for informing patient relatives and the doctor if any issue is found with the
patient health condition which allows for effective patient monitoring.
Sarierao, B. S., & Prakasarao, A. (2018, April). Smart Healthcare Monitoring System
Using MQTT Protocol. In 2018 3rd International Conference for Convergence in
Technology (I2CT) (pp. 1-5). IEEE.
The authors in this paper has identified application of IOT in smart health monitoring system.
The system has been developed with MQTT Protocol. According to this article, various
sensors integrated with the IOT device are capable of collecting patient data. However, the
challenge is to transmit this data through internet protocol with speed and accuracy so that