Page 184 - Big Data Analytics for Intelligent Healthcare Management

7.2 LITERATURE SURVEY 177

Purnima et al. [6] proposed a framework where diverse sensors (ECG, temperature, pulse) were
connected to the patient’s body at the correct positions to gather continuous information about his
well-being with the assistance of the ZigBee innovation. That information was then contrasted with
the registered thresholds in a check if the patient was in an ordinary condition. Then the recorded data
was refreshed in the database of the specialist’s PC. There was a provision for sending an SMS alert to a
preconfigured mobile number through the GSM module. The major limitation with this program was
the transmission and reception range of ZigBee.
Surbhit Jain et al. [12] developed a ZigBee-based wearable psychological parameter monitoring
device. It is used to monitor health parameters such as temperature and heart rate and it can detect
if the person is distressed. The receiver unit can plot a graph of vital monitored parameters.
Alsharqi et al. [13] built a solid, low power, minimal effort, and effectively reconfigurable ZigBee-
based remote social insurance observing framework to screen body temperature, heart rate, ECG flag,
and muscle control with sufficient precision. It can also store the monitored data for further analysis.
Bondre et al. [14] outlined and built a solid vitality productive patient observing framework with
various sensors (temperature, breathing rate), ZigBee, and GSM module. The sensor unit checked in-
dividual parameters and transmitted the data to the database through the ZigBee module for additional
observations and examination by the specialist. The GSM module was used to send an SMS alert to
notify of any kind of health issue.
Researchers have also proposed a system that is a combination of sensor technology and IoT, which
is able to monitor the level of a saline bottle used in treatment, from a distant position to reduce the risk
of heart attack and control the electricity [15, 16].
Muthuraman et al. [17] focused on the general approach and strategy for an IoT empowered self-
sufficient keen healing facility administration framework with different mechanical roads, gadget de-
termination, information demonstrating, interoperability, information mapping, information change,
information approval, information purging, process stream design for occasional driven work pro-
cesses, engineering, and foundation choice subtle elements.
Devi et al. [18] built a proficient Patient Health Monitoring System (PHMS) to screen the upcoming
status of close-by specialists. The framework gathered data such as temperature, circulatory strain, and
heart rate and transferred the data to the specialist. The framework was tentatively assessed and gath-
ered the example information from 10 patients to confirm the status of the patients. The specialist could
screen the advance of the patient’s well-being and communicate with them about their well-being.
Ghosh et al. [19] demonstrated a healthcare system for hospital management to allow guardians,
along with doctors, to remotely monitor health conditions of patients via the Internet. Remote moni-
toring and guidance awareness by sharing information in an authenticated manner was the prior focus.
Here the monitoring system, which is connected to various sensors, collects various health parameters
and stores them in a cloud database. If the patient has an identification number (ID), then the respective
data is stored in the cloud. If not, then the system had to wait a random amount of time for input of the
patient’s ID so that the respective data could be saved to the cloud. The system stopped sending data to
the cloud if the stop command was given. Only an authenticated user was able to access the cloud da-
tabase to monitor the data of a patient. The aim of the proposed system was to determine the acceptance,
validity, and usability of the program. The system was tested with real patients in the Khulna University
Medical Center, Khulna, Bangladesh.
Pinto et al. [20] introduced “We give it a second thought,” an IoT-based medicinal services frame-
work to screen and gather fundamental information from elderly people. The framework is able to
recognize falls and the nonappearance of essential signs, activating the alarm if there was any crisis.