Tutorials
Tutorial 1 – Medical BAN technology and devices
Chair Prof. Dr. Sandro Carrara, EPFL
- Lecture
1.1 – Biosensing on chips by
Prof. Dr. Carlotta Guiducci, EPFL, Switzerland
- Lecture
1.2 – Towards Smart and Energy-Aware
Wireless Body Sensor Networks for Personal Health
Monitoring by Prof. Dr. Nadia Khaled, EPFL,
Switzerland
- Lecture
1.3 –
Biomedical Circuits: Parallel Brain-Computer Interfaces for
Biosensing and Subsequent Treatment of Neural Dysfunctions by Prof.
Dr. Mohamad Sawan, Ecole Polytechnique de Montreal, Canada
- Lecture
1.4 – Wearable Body Area Network: Towards Preemptive and Proactive Healthcare
Applications by Dr. Jerald Yoo, Masdar Institute, Abu Dhabi, United Arab
Emirates
Lecture 1.1 –
Biosensing on chips
by Prof. Dr. Carlotta Guiducci, EPFL, Switzerland
Carlotta Guiducci holds her PhD in Electrical
Engineering from the University of Bologna (I). She was a postdoc at
the Nanobiophysics Lab at Ecole Supérieure de Physique et Chimie
Industrielles Paris (F) between 2005 and 2007. Later at University
of Bologna she led a joint research group of electrical engineers,
physicists and biologists funded by an Integrated Project of The EU
(DiNamICS) and by national projects. She recently joined the
Institute of Bioengineering at the Swiss Federal Institute of
Technology in Lausanne (CH) where she holds a position as Tenure-Track
Assistant Professor.
Her research activity spans from the characterization of MOS in
quantic regime to the development of novel techniques for sensing
biological affinity reactions on surfaces by means of semiconductor
sensors and electronic transducers. She developed in collaboration
with Infineon technologies two test chips for DNA detection by
capacitance measurements. She has been working on electrical,
electrochemical and optical techniques. She demonstrated and
patented the measurement of DNA by UV absorption on non volatile
memory cells.
Her laboratory team is focused on the design and application of
electronic biosensors and is at the forefront of electronic
engineering and bioengineering. The sensors address a wide range of
applications, from nucleic acid, protein and drug detection to the
measurements of bacterial metabolism and they are based on detection
principles supporting electronic transduction, in order to couple
directly and integrate the sensors themselves with electronic
circuitry for data acquisition.
The interface between electronic circuits and life
sciences will be one of the focal points of future integrated system
design. Several solutions for electronic devices/biological matter
interactions are already available and they have proved their
potential to be highly-portable systems or high-throughput systems
or both. In this talk, we will address the paradigm of electronic
sensors, circuits and systems as privileged means to interact with
biological matter at the higher level of detail while bringing the
advantage of almost unlimited choice of signal processing, storing
and communication solutions. Sensing principles will be presented in
a physics and biophysics perspective. High-throughput and
integration will be addressed with respect to tradeoffs between high
density and signal measurability.
The talk will also tackle the compatibility issues of
biochemical processes and solid-state technologies and will describe
the different possibilities for developing and scale molecular
sensing sites on a chip.
Lecture 1.2 –
Towards Smart and Energy-Aware Wireless Body Sensor Networks for
Personal Health Monitoring by Prof. Dr. Nadia Khaled, EPFL, Switzerland
Nadia Khaled received the M.Sc. degree in
electrical engineering from ENSEEIHT, Toulouse, France, in 2000, and
the Ph. D. in applied sciences from the Katholieke Universiteit
Leuven, Belgium, in 2005. From 2000 to 2005, she was with the
wireless research group of the Interuniversity Microelectronics
Center (IMEC), Leuven, Belgium. From 2005 to 2006, she was a
postdoctoral researcher at ETH Zurich, Switzerland. Since 2006, she
has been a postdoctoral researcher at EPFL, and has held the
position of visiting assistant professor at the University of Carlos
III Madrid (UC3M) from 2006 to 2009. As of January 2010, Nadia is
leading a joint NESTLE-EPFL project on non-intrusive, intelligent
and wearable sensors to help monitoring the health, well-being and
nutrition of the elderly.
Recent advances in microelectronics have gone a long
way towards the miniaturization and power efficiency of processing
elements, radio transceivers and sensing elements of a large array
of physiological phenomena. It has thus become plausible to realize
the low cost, low power, miniaturized, yet, smart sensor nodes
needed to enable wearable personal health monitoring systems. These
sensor nodes should be able to sense various physiological
quantities, process and communicate sensor data with on-body or
remote base stations. They should also be able to organize in a
wireless body-area sensor network (WBSN) to achieve an integrated
monitoring capability. The inherent resource-constrained nature of
these systems, coupled with the harsh operating conditions and
stringent autonomy requirements, pose important design challenges.
And, although several sensor platforms have been recently proposed
to address some of these challenges, much remains to be done in
terms of functionality, power efficiency and miniaturization.
This talk reviews state-of-the-art WBSN platforms for
personal health monitoring systems, and discusses their main design
challenges. In particular, it highlights the unsustainable energy
cost incurred by the straightforward wireless streaming of raw
sensor data. To achieve the extended autonomy required by ambulatory
monitoring, this tutorial advocates enabling more embedded
intelligence onboard these sensors. To illustrate the effectiveness
of this approach, it focuses on electrocardiogram (ECG) monitoring
applications. After analyzing the requirements of these applications
in terms of wireless communications and local signal processing,
recent advances in efficient mapping of ECG signal processing
algorithms on state-of-the-art sensor nodes are discussed. These
algorithms range from simple heart rate estimation to advanced
compression and feature extraction. It is then shown that such
advanced embedded intelligence actually translates into a reduction
in the node’s energy consumption, and accordingly into an extension
of its battery lifetime. Finally, the tutorial is concluded with two
WBSN demonstrations: (1) a real-time compressed sensing-based
personal ECG monitoring system and (2) a real-time personal ECG
delineation system (See video at
http://esl.epfl.ch/cms/lang/en/pid/42817).
Lecture 1.3 –
Biomedical Circuits: Parallel Brain-Computer Interfaces for
Biosensing and Subsequent Treatment of Neural Dysfunctions by Prof.
Dr. Mohamad Sawan, Ecole Polytechnique de Montreal, Canada
Mohamad Sawan received the Ph.D. degree in 1990 in
electrical engineering, from Sherbrooke University, Canada. He
joined Polytechnique Montréal in 1991, where he is currently a
Professor of Microelectronics and Biomedical Engineering. His
scientific interests are the design and test of mixed-signal (analog,
digital, RF, MEMS and optic) circuits and Microsystems: design,
integration, assembly and validations. These topics are oriented
toward the biomedical and telecommunications applications.
Dr. Sawan is a holder of a Canada Research Chair
in Smart Medical Devices. He is founder director of the Polystim
Neurotechnologies Laboratory at Polytechnique Montréal, and he is
leading the Microsystems Strategic Alliance of Quebec (ReSMiQ)
receiving membership support from 11 Universities.
He is founder / co-founder of several
International conferences such as NEWCAS, BiOCAS, and ICECS, and he
is Editor/ Associate Editor of several International Journals such
as the IEEE Transactions on Biomedical Circuits and Systems and the
Springer Mixed-signal Letters. Dr. Sawan published more than 450
papers in peer reviewed journals and conference proceedings, offered
more than 100 invited talks/keynotes, and he was awarded 6 patents
pertaining to the field of biomedical sensors and actuators.
Dr. Sawan received several prestigious awards; the
most important of them are the Medal of Honor from the President of
Lebanon, the Bombardier Award for technology transfer, the Barbara
Turnbull Award for medical research in Canada, and the achievement
Award from the American University of Science and Technology. Dr.
Sawan is Fellow of the IEEE, Fellow of the Canadian Academy of
Engineering, Fellow of the Engineering Institute of Canada, and
Officer of the Quebec’s National Order.
Emerging brain-computer Interfaces dedicated for
biosensing and treatment applications are promising alternative for
learning about the intracortical organization, studying the neural
activity underlying cognitive functions and pathologies, locating
onset seizures, understanding neurons interactions, detecting mind-driven
decisions, address complex central neural system dysfunctions by
both microelectrostimulation and drug delivery Microsystems. This
talk covers circuits and systems techniques used for the design and
integration of biosensing and treatment Microsystems. Such devices
are fully implantable, interconnected to intracortical neural
tissues, and include wireless links used to power up such implanted
devices and bidirectionally exchange data with external base
station. Global view of typical devices altogether with
corresponding multidimensional challenges such power management and
high-data rate communication modules will be described. Special
attention will be paid to present digital and analog circuit
techniques dedicated to parallel detecting and recording of action
potentials and seizures through large arrays of electrodes. On the
other hand, microstimulation in the primary visual cortex, which are
intended to recover vision for the blind through multisite large
arrays of electrodes, will be summarized as case study of the
intended treatments.
Lecture 1.4 –
Wearable Body Area Network: Towards Preemptive and Proactive
Healthcare Applications by Dr. Jerald Yoo, Masdar Institute, Abu
Dhabi, United Arab Emirates
Jerald Yoo received the B.S., M.S., and Ph.D. degrees in Department of Electrical Engineering from
the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2002, 2007,
and 2010, respectively.
In May 2010, he joined the faculty of Microsystems Engineering, Masdar Institute, Abu Dhabi,
United Arab Emirates, where he is an assistant professor. He is currently also with Technology and
Development Program, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, as a
visiting scholar. He developed low-energy Body Area Network (BAN) transceivers and wearable body
sensor network using Planar-Fashionable Circuit Board (P-FCB) for continuous health monitoring
system. His research focuses on low energy circuit technology for wearable bio signal sensors,
wireless power transmission, SoC design to system realization for wearable healthcare applications,
and energy-efficient biomedical circuit techniques. He is an author of a book chapter in Biomedical
CMOS ICs (Springer, 2010).
Dr. Yoo is a co-recipient of the Asian Solid-State Circuits Conference (A-SSCC) Outstanding
Design Awards in 2005.
Healthcare application is a promising sector for semiconductor industry. Currently, chronic diseases
account for over 1/3 of deaths around the world. To mitigate the impact of the diseases, healthcare
paradigm is now shifting from reactive illness management towards proactive and preemptive health
management; the goal here is to maintain healthy life in the first place, or prevent illness from getting
any worse by continuously monitoring health during normal daily life.
Wearable body area network (BAN) is a strong candidate to realize continuous health monitoring
environment. In this talk, two types of Wearable BAN (wireless and wired) are introduced, and their
various aspects are thoroughly reviewed. Low energy circuit techniques to overcome their limitations
are also discussed. Finally, several examples of wearable healthcare system implementation are
shown.