WEARABLE SENSORS SEMINAR PRESENTATION FOR ENGINEERING

1. RECENT ADVANCES
IN WEARABLE
SENSORS
PRESENTED BY,
JIBIN JOSEPH
S7,EEE

2. CONTENTS
 Introduction
 Wearable sensors
 Medical use cases
 Advantages
 Disadvantages
 Applications
 Conclusions
 References

3. INTRODUCTION
 Wearable sensors are the sensors used for
health monitoring.
 Researchers are involved on reduce the barriers
to the meaningful use of devices, minimizing
physical discomfort for long-term monitoring.
 Describing about recent advances and
applications to improve healthy & independent
living.

4. WEARABLE SENSORS
 Wearable sensors are the sensors used for health
monitoring.
 The system composed of:
1) Wireless Body Area Network
(WBAN)
2) Personal Server (PPS)
3) Medical Server for Healthcare
Monitoring (MSHM)
SENSOR
S
PROCESSOR+
TRANSCEIVER
DISPLAY

7. Wireless Body Area Network
Main components:
1.Sensors
2.Microcontroller
3.Memory
4.Radio transceiver
5.Power supply

8. Personal server
 Interface through Zigbee
 Implimented by Intelligent Personal Digital
Assistant (IPDA)
software agent that can perform tasks
or services for an individual.
 Holds patient authentication information.
 Collect physiological signal & sends data.
 Critical condition can be medicated.

9. Medical server for healthcare
monitoring
 Receive data from personal server.
 Situated at medical centers.
 It is intelligent.
 Accesssed by diff. medical staffs.
 In emergency it can be notified to medical unit.

10. MEDICAL USE CASES
 Parkinson’s disease
 Stroke management
 Head and neck injuries

11. Parkinson’s disease
 Parkinson’s disease is the second most common neurodegenerative
disorder after Alzheimer’s disease.
 Most significant challenge is combining the data from these sensors
to generate useful knowledge and actionable information
 Machine learning algorithms are typically used to analyze the
complex and unpredictable characteristics of wearable sensor data
in order to study tracking of movement disorders in PD patients.
 The overlap of voluntary activities of daily life with the variety of
motions corresponding to movement disorders can make it difficult
to resolve and monitor the motor function in PD and is driving the
need for better algorithms
 Timed Up and Go test is a well known clinical test of mobility and
fall risk; longer TUG times have been shown to be indicators of
increased risk of fall in patient populations with PD or stroke.

12. Stroke management
 Exerciser coaches the patient through a
sequence of exercises for motor retraining,
which are prescribed by the physical therapist
 wireless inertial sensor system records the
patient’s movements
 provides feedback to the patient and the
therapist

13. Head and neck injuries
 Traumatic brain injury is a major public health problem affecting all
age groups also cause death in young adults.
 Associated with frequent head injury, such as the military or contact
sports and use accelerometers to measure linear and rotation
acceleration and duration of impact
 Carbon nanotube textile nanostructures they have incorporated
pressure sensors to track intensity, direction and location of impact
force, as well as measure rotational motion of the head and body
balance , along with lateral head motion and body balance.
 Goal for this type of sensor system is to provide real-time
evaluation of head trauma and rapidly triage cases for conventional
neuro-imaging follow-up with magnetic resonance imaging

14. ADVANTAGES
Wearable sensors potentially enhance situational
awareness
 Can increase task efficiency
 Extend the user’s senses
 Early detection of disorders
 Reduce healthcare cost

15. DISADVANTAGES
 Units that meet the size, environmental and cost
requirement of the emergency services can be
very expensive
 Can add significant weight to the user
 Can impede the users when moving about

16. APPLICATIONS
 Health and wellness monitoring
 Safety monitoring
 Home rehabilation
 Area of sports and training

17. CONCLUSIONS
 Show great promise for healthcare monitoring.
 Goal:-remote monitoring individuals in the
home and community settings can be achieved.
 Integration of different power sources, sensors
establish confidence in the diagnostic
capabilities.

18. REFERENCES
 J. Manyika, M. Chui, J. Bughin, R. Dobbs, P. Bisson, and A. Marrs,
"Disruptive technologies: Advances that will transform life,
business, and the global economy," McKinsey Global Institute, May,
2013.
 O. Ogunduyile, K. Zuva, O. Randle, and T. Zuva, "Ubiquitous
Healthcare Monitoring System using Integrated Triaxial
Accelerometer, SpO2 and Location Sensors," International Journal
of UbiComp (IJU), vol. 4, pp. 1-13, 2013.
 P. Bonato, "Wearable sensors/systems and their impact on
biomedical engineering," IEEE engineering in medicine and
biology magazine : the quarterly magazine of the Engineering in
Medicine & Biology Society, vol. 22, pp. 18-20, May-Jun 2003.
 P. Bonato, "Wearable sensors and systems," Engineering in
Medicine and Biology Magazine, IEEE, vol. 29, pp. 25-36, 2010.
 S. Olberding, N.-W. Gong, J. Tiab, J. A. Paradiso, and J. Steimle, "A
cuttable multi-touch sensor," in Proceedings of the 26th annual
ACM symposium on User interface software and technology, 2013,
pp. 245-254.