With similar users. It is expected that this

With this busy lifestyle, people can
monitor their health using a wearable technology and thus can improve the
quality of life. We intend to develop a smart phone app which will help people
to monitor their day to day activities related to health and diet plans using
their phones and wearable sensors. The monitoring will involve physiological
signals including electrocardiogram and electroencephalography. The App will
generate recommendation for a healthy lifestyle based on the daily routine it
will suggest some healthy activities and diet tips to the user to prevent
serious health issues. The application will also provide a platform for social
interaction with other similar users. It is expected that this smart app will
be a catalyst in better management of healthy activities in daily life.

 

Project goal

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!


order now

 

Our
goal is to help people to monitor their day to day activities related to health
and diet plans using their phones and wearable sensors. The monitoring will
involve physiological signals including electrocardiogram and
electroencephalography. The App will generate recommendation for a healthy
lifestyle based on the daily routine it will suggest some healthy activities
and diet tips to the user to prevent serious health issues.

/*Aims & Objectives

Our
goal is to help people to monitor their day to day activities related to health
and diet plans using their phones and wearable sensors. The monitoring will
involve physiological signals including electrocardiogram and
electroencephalography. The App will generate recommendation for a healthy
lifestyle based on the daily routine it will suggest some healthy activities
and diet tips to the user to prevent serious health issues.

*/

Deliverables

 

   Following are the Deliverables.

  

1.  Prototype – A prototype of sensors and
android application working together

  

2.  Android application – having all proposed
functionalities

  

3.  Recommendations – based on the data received
and analyzed

  

4.  Project documentation

 

Chapter 2

Literature
Review

 

Wireless
Body Area Sensor Networks (WBASN) is an emerging technology which uses wireless
sensors to implement real-time wearable health monitoring of patients to
enhance independent living.1

A WBASN for health monitoring may include
sensors that can help to determine the user’s location, discriminate among the
user’s states (e.g., lying, sitting, walking, running), or estimate the type
and level of the user’s physical activity. In this paper, we describe new
Mobile Health Monitoring system architecture, it uses a wireless body area
networks (WBASN) to collect and send data to the cloud server through GPRS/UMTS
4.1

 

In recent years, mobile phones have become an increasingly important
platform for the delivery of health interventions 26. Chan 27 proposed a
multi-agent architecture comprising of intelligent agents for cardio
monitoring. It relies on the GSM network to collect patient data. Intelligent
agents send diagnostic information and recommend medical interventions. The
software stack for Chan’s architecture is based on the Symbian operating
system, while the server-side agent is programmed in Java 2 Micro Edition
(J2ME) and Java 2 Enterprise Edition (J2EE)2

 

IRJET-V3I4145.pdf

 

Stress
is a physical response to the mental, emotional, or physical problem that we
noticed. Immediate threats produce the acute stress reaction9. The hormones
related with stress, such as adrenaline, into the bloodstream to boost
concentration. There are also some related physical changes, such as increased
heart rate and automatic re?exes. For healthy conditions, the body returns to
its normal level after dealing with acute stressors 10. There are many types
of physical signal can be observed from human body, including
electrocardiograph (ECG), photoplethysmograph (PPG),body temperature, blood
pressure volume, level of glucose and patient activity13. Electrical activity
of the heart measured with help of ECG over time, normally captured externally
from the human body skin. 3

 

1743-0003-9-21.pdf

Wireless
communication is relied upon to transmit patient’s data to a mobile phone or an
access point and relay the information to a remote center via the Internet.
Emergency situations (e.g. falls) are detected via data processing implemented
throughout the system and an alarm message is sent to an emergency service
center to provide immediate assistance to patients.2

 

IEEE-SJ-Review.pdf

 

The raw data from sensors are collected by a processor. The data are
processed and then displayed on a display. These types of simple wearable
devices are used by normal people while jogging, running and other applications
where the users look at the display to notice the measured values of the
sensors. If the device has the feature of wireless data transmitting capability,
the data can be sent to a central station through a transceiver.3

It is possible to measure the blood pressure using wearable sensors
through a modi?ed volume-oscillometric technique which eliminates the need for
an in?atable pressure cuff 5 and using earphone and mobile device 6.

 

The next most common physiological parameter is the heart rate of the
person under monitoring. Heart rate is a precisely regulated variable, which
plays a critical role in health and disease of human. There are many methods
available to measure heart rate of a person; Photoplethysmography (PPG) based
technology 23, 24, sound based 25, based on changes on brightness of
person’s face 26, and so on. 3

 

590401.pdf

 

Remote Mobile Health
Monitoring (RMHM) system will not only improve the patient’s quality of life,
but also reduce the burden of the medical system and the cost of public health.
4

 

An RMHM System based on smart phone and web service is designed and
implemented for patients with chronic diseases, especially the elderly. The
portable terminal integrates vital sign sensors to monitor physiologic data.
Smart phones are used as both an intuitive human-machine interface and an
information transmission platform so that a user can easily master his/her own
health status. Through the Android software, the user’s position can be
acquired by outdoor GPS or indoor Wi-Fi signal. The remote server uses B/S
(browser/server) structure to provide data query, observation curve, and
patient location.4