A Mobile Crowd Sensing Application for Hypertensive Patients

Abstract

Mobile crowd sensing (MCS) is an application that collects data from a network of conscientious volunteers and implements it for the common or personal benefit. This contribution proposes an implementation that collects the data from hypertensive patients, thus creating an experimental database using the cloud service Platform as a Service (PaaS). The challenge is to perform the analysis without the main diagnostic feature for hypertension—the blood pressure. The other problems consider the data reliability in an environment full of artifacts and with limited bandwidth and battery resources. In order to motivate the MCS volunteers, a feedback about the patient’s current status is created, provided by the means of machine-learning (ML) techniques. Two techniques are investigated and the Random Forest algorithm yielded the best results. The proposed platform, with slight modifications, can be adapted to the patients with other cardiovascular problems.

Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare

“…The term "mobile crowdsensing" was proposed in 2011 [94]. Contrary to crowdsourcing, the initial crowdsensing typology included environmental, infrastructural, and social applications [95], with the health issues brought into the focus only recently. Despite the late arrival, a survey of the healthcare crowdsensing articles has already appeared [96], with 1705 articles found according to the title and abstract, but with 13 papers included in the study due to the rigid exclusion criteria.…”

“…The illustrative example was devoted to patients suffering the Tinnitus, a disorder of unknown origin that causes a ringing sound in ears. Another approach applies machine-learning techniques and features extracted from the electrocardiogram (ECG) to inform the hypertensive patients about their status during various activities [95].…”

Mobile Crowd Sensing for Hypertensive Patient

“…The work done in article [10] is the main base for the work done in the proposed MCS application. Mainly this article talks about the implementation of mobile crowd sensing technology to treat the patients with Hypertension disease.…”

Mobile Crowd Sensing RPL-based Routing Protocol for Smart City

“…Works in [33]and [34]use MCS to monitor public safety-related events such as crimes, explosion, fires, and others using social media as sensors to report these events. Gathering health information from the peopleusing MCS is discussedin [35][36][37][38]. The type of this information includes allergy, blood pressure (hypertension), and cardiac information that is fed to the health system for analyses and to be used to provide better care.…”