With rise in world population, cost of healthcare also increased rapidly which led to the demand of low cost health monitoring solutions. In recent times, non-invasive wearable sensors have played an important role in healthcare applications. With advancement in wireless communication technologies, ubiquitous computing and embedded systems, the sensors need not be invasive anymore to accurately monitor a patient's health status, rather can be managed by user itself so as to keep a record of one's health condition. The advancement of healthcare technologies has enabled patients to monitor their vital health parameters on their own, and saves them from regular tiring hospital visits & high cost of laboratory medical checkups. It has also reduced the burden of healthcare service providers, thereby reducing overall medical costs. This paper provides a review of current status of mobile healthcare applications.

1. http://www.iaeme.com/IJECET/index.asp 18 editor@iaeme.com
International Journal of Electronics and Communication Engineering & Technology
(IJECET)
Volume 7, Issue 2, March-April 2016, pp. 18-24, Article ID: IJECET_07_02_003
Available online at
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© IAEME Publication
mHEALTH: REVIEW OF MOBILE HEALTH
MONITORING SYSTEMS
Naseem Rao
Research Scholar, ECE Deptt. Al-Falah University, Faridabad, Haryana, India
Anil Kumar
Vice Chancellor, Al-Falah University, Faridabad, Haryana, India
T. A. Abbasi
Adjunct Professor, ECE Deptt. Al-Falah University, Faridabad, Haryana, India
ABSTRACT
With rise in world population, cost of healthcare also increased rapidly
which led to the demand of low cost health monitoring solutions. In recent
times, non-invasive wearable sensors have played an important role in
healthcare applications. With advancement in wireless communication
technologies, ubiquitous computing and embedded systems, the sensors need
not be invasive anymore to accurately monitor a patient's health status, rather
can be managed by user itself so as to keep a record of one's health condition.
The advancement of healthcare technologies has enabled patients to monitor
their vital health parameters on their own, and saves them from regular tiring
hospital visits & high cost of laboratory medical checkups. It has also reduced
the burden of healthcare service providers, thereby reducing overall medical
costs. This paper provides a review of current status of mobile healthcare
applications.
Key words: Mobile Healthcare, Non Invasive Wearable Sensors
Cite this Article: Naseem Rao, Anil Kumar and T. A. Abbasi. mHealth:
Review of Mobile Health Monitoring Systems, International Journal of
Electronics and Communication Engineering & Technology, 7(2), 2016, pp.
18-24.
http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=7&IType=2
1. INTRODUCTION
In today's world, the population is rising globally and thereby the rate of aging is also
increasing. As per WHO statistics, Indian population aged 65 and older is rapidly
increasing and will reach about 230 million by 2050[1].It has been estimated that the

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older population will be higher than ever before. Thus, with passing years, the aging
population is rising rapidly leading to increased healthcare expenses [2, 3] and hence
there is an immediate need for an efficient, reliable, pervasive and low cost health
monitoring system. As the growth of the nation depends on the health quotient of its
citizens, healthcare solutions should be made available at reasonable costs in order to
widen their reach. In this scenario, mobile computing has come across as a boon and
non invasive wearable sensors have played a vital role in realizing mobile healthcare
applications.
Wearable sensors come under a broad category of wireless sensors and overcome
the limitations of traditional healthcare monitoring systems. These sensors can be
worn by the user on body or in body such that they provide minimal or no hindrance
in performing daily activities. Thus, wearable sensors can be of two types namely
invasive and non invasive. Invasive sensors are those which are worn in body or are
implanted into patient's body. These may include the implantation of various sensors
for therapeutic or physiological signal monitoring purposes. Non- invasive sensors are
largely accepted these days for health monitoring systems over traditional health
monitoring systems as they facilitate mobility and thereby ubiquitous and pervasive
monitoring with zero intervention in user activities. These sensors are worn on body
by the user with appropriate localization so as to accurately measure the desired
health parameter. These sensors can be integrated resulting into a single operable
device [6,14,16,20,22,25] or a network of wearable sensors resulting into body area
network[7,11,17,19,23,26,28].Since the last decade the research field has seen an
increased acceptance ,particularly in the field of healthcare as it facilitates continuous
and long term ubiquitous health care monitoring unlike traditional hospital trends
which led to prolonged bed-ridden days and restricted mobility. The traditional
sensors and medical systems are not suitable for long term health monitoring as they
cannot be worn for longer durations due to their bulky, interfering nature, feeling of
restlessness and discomfort along with immobilization when connected for longer
hours. On the other hand, wearable sensors can be easily worn and carried around in
the home or outside environment thereby making anytime, anywhere[24,25] real time
health monitoring possible. Non- invasive wearable sensors can be used to measure
numerous prominent biosignals. Some of them with typical values for healthy adult
are as shown in figure 1.Various other biosignals include electricity activity of the
brain and muscles, skin conductance, blood glucose level, body movements and many
others. These sensors have many advantages like unobtrusiveness, mobility, painless
operation and many others.
Table 1 Biosensensors to measure physiological parameters and typical values for healthy adult
Physiological Biosensor Values for
parameter healthy adult
Heart rate ECG 60-100
electrodes beats/min
Oxygen Pulse 94-100%
saturation(Spo2) oximeter
Blood pressure Blood Systolic:<120
pressure mmHg
monitor Diastolic:<80
mmHg
Respiration rate Respiration 12-20
sensor breaths/min
Body temperature Temperature About 37 ˚C
sensor

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2. HEALTHCARE APPLICATIONS FOR NON-INVASIVE
WEARABLE SENSORS
Non-invasive wearable sensors can be used for simply measuring the vital sign
parameters of the user for routine health checkup or for measuring various
physiological parameters for long-term continuous health monitoring [11,15,26-28] in
case of chronic diseases like asthma, cardiac arrest, osteoarthritis etc. Further this
technology can also be used for fall detection [5,10,19] and posture monitoring for
elderly people and gives an alert in case of emergency situations. Also, these sensors
can be used for the treatment of cognitive ailments such as Alzheimer, Dementias,
Parkinson's disease [22] etc. These sensors can be found in the form of an intact
device or gadget like wrist-worn device, pendants, shirts etc or in form of body area
network such that data from multiple sensors is collected and processed in a network.
Applications incorporated by these sensors can be categorized as follows:
Physiological parameters: This involves continuous monitoring of various
physiological parameters namely heart rate and electrical activity of heart, oxygen
saturation, blood pressure, temperature and many others. Continuous monitoring of
physiological parameters help in maintaining healthier lifestyle, prevention of any
chronic diseases, or efficient treatment of any ongoing health problem.
Physical parameters: These parameters are mainly measured to closely monitor the
activity, posture, etc. in case of a physical impairment due to improper or no
functioning of a patient's organ, This may involve decreased motor ability, hearing
loss, etc.
Cognitive parameters: Monitoring of these parameters is required in case of
monitoring of user's behavior, or to monitor cognitive illness in patients suffering
from dementia or other diseases. This is also of great help in case of tracking patient's
behavior after illness. Thus application of this technology ranges from leading a
healthy lifestyle to rehabilitation condition. The real-time and continuous monitoring
has made this technology highly desirable. It has proved to be of great significance for
both physicians as well as users. This technology has wide application range as shown
below from motivating and encouraging people to keep a track on their health records
to long-term management of chronic illness at suitable environment within their
comfort zones.
 Individual monitoring for well-being and leading healthy lifestyle. 
 Determining possible symptoms and patterns of detected or expected illness. 
 Continuous monitoring of patients suffering from any chronic disease or illness and
determining acute conditions beforehand. 
 After-treatment monitoring of patients and detection of any recurring symptom. 

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3. GENERIC ARCHITECTURE
Figure1 Generic architecture of mobile health monitoring system
The generic architecture of mobile health monitoring systems used nowadays is
shown in figure1 mainly comprises of three main units namely:
 Sensing unit 
 Central controlling unit 
 Communication unit 
The sensing unit can be in the form of wrist worn device [6], necklace [10,
15],shirt[18],or any such wearable device. This device may consist of a single sensor
or multiple sensors integrated together based upon the requirement and size of the
device. The sensing unit acquires data about the vital parameters and sends this data
periodically to controlling unit. Central controlling unit performs processing on this
data, basically filters and analyze this data in accordance with the detecting algorithm.
The analyzed data is then sent to the Smartphone, PDA or any mobile device over
short communication range like Bluetooth, Zigbee etc. This data is further sent to
database for storage so that a person can have a track on recorded data. Also the data
reaches remote server from where it is sent to the healthcare service provider or the
doctor as and when required for close clinical observation. This data can also be sent
to family and friends as per the user requirement and convenience for emergency use.
These days cloud computing [13] and Internet of Things are enabling ubiquitous
availability of data for mobile health care applications. Whenever the examined data
is not lying between the previously defined threshold range, i.e., not within prior set
minimum and maximum values, an automatic alarm is generated at healthcare
locations indicating an emergency case so that necessary actions can be taken on time
and immediate care can be provided to the patient at the earliest. This architecture
also provides a feedback to the user making the system function as a closed loop.
Thus, the user can receive timely feedback from the doctor in immediate cases
such as a change in prescription, change in exercise routines or other preventive or
curative measures.
4. HEALTH MONITORING SYSTEMS
Being the rapidly emerging and promising field, many prototypes have been
developed for health and physical activity monitoring using non- invasive wearable
sensors for all age groups.
A large amount of work has been done to monitor physiological signals and
activity [8-10].Some of the recent research trends are mentioned below.

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Table 2: Recent research trends in mobile health monitoring using non -invasive wearable
sensors
Title Target Hardwa Parameters Sensors used Communication
re measured Protocol
platfor
m
Breathing feedback Wearable textile sensor Arduino Joint Wearable textile Dig iXbee
system with wearab le
used to
monitor movement, sensor using a
text ile sensors
breathing patterns
for breathing piezoresistive
performing prescribed rates material
exercises correctly
iCalm: Wearable Wireless sensor platform Atmel Skin EDA, blood IEEE 802.15.4
sensor and network for continuous long term Atmega conductance volume wireless
architecture for monitoring of autonomic 328 , pulse(BVP),temp standard
wirelessly nervous system and microco heart rate erature sensor,
communicat ing and motion data ntroller variability motion sensor
logging automatic (HRV)
activity[11]
An electronic gadget Assistive technologyfor Arduino Heart rate, Photoplethysmog Bluetooth
for Ho me-bound elderly body raphy,Temperatur
Patients and temperature, e sensor, tri-axis
Elders[16] tilt and fall accelero meter
Real life applicable Fall
detectio
n system MSP43 Behavior 3-axial CC2420
fall detection system using sensor in worn and posture accelero meter,3-
based on wireless necklace fo rm monitoring axial gyroscope
body area
network[10]
WECARE: An mhealth tool for the ARM ECG data 7-lead ECG WCDMA or
intelligent mobile cardiovascular disease micropr devices LTE-Advanced
telecardiology system diagnosis and treatment ocessor networks
to enable mhealth STM 32
applications[12]
Wearable sensors and Model for monitoring Arduino Body Temperature Zigbee, cloud
cloud platform for the health
conditio
n of Pro temperature, sensor, humidity computing
monitoring the patients Mini air hu midity sensor
environmental
parameters in E-
health
applications[13]
Health monitoring systems using non-invasive wearable sensors have been largely
appreciated since last decade. It has attracted people from all research fields due to its
efficient, low-cost, promising widespread application in healthcare, beneficial for both
physicians and patients. In spite of all these positive aspects, these systems have not
yet been deployed or adopted as a total healthcare alternative to the conventional
hospital environment. These systems need to overcome the challenges in fields like
enhancement of battery life, energy efficiency, interoperability, limited storage space,
scalability, security and privacy. To be a reality on larger scale, these systems need to
feasible for large scale manufacturing & deployment. This requires a broad number of

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experiments to be carried out in addition to the deployment tests in real life scenarios
to convert mobile health monitoring systems into efficient and practically acceptable
systems which are seamlessly integrated with the human world.
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