BME 484/485 Biomedical Engineering Capstone Design I &
II
BME 484/485 Biomedical Engineering
Capstone Design (3+2 credits): Applications of engineering
skills; team projects in biomedical areas such as neuroengineering,
assistive technology, cardiopulmonary measurements, medical imaging,
and modeling of physiological systems. Two-course sequence for fall
and spring. (Lec. 1, Lab. 3) Pre: (207 and 362) or permission of
instructor. Not for graduate credit.
This course satisfies the Integrate & Apply category
of General Education.
Specific
Program Outcomes for BME 484/485
2: an ability to apply engineering design to produce solutions that
meet specified needs with consideration of public health, safety,
and welfare, as well as global, cultural, social, environmental, and
economic factors.
4: an ability to recognize ethical and professional responsibilities in
engineering situations and make informed judgments, which must
consider the impact of engineering solutions in global, economic,
environmental, and societal contexts.
5: an ability to function effectively on a team whose members
together provide leadership, create a collaborative and inclusive
environment, establish goals, plan tasks, and meet objective.
Instructors: Ying Sun, Eugene Chabot, Jiang
Wu, BME Technician: Tanya Wang
Syllabus: 2019-20.
Conference presentation photos: NEBEC'12,
AT'13, NEBEC'13,
NEBEC'14, AT'14,
NEBEC'15, NEBEC'16,
NEBEC'17, NEBEC'18,
NEBEC'19.
Timeline: spreadsheet.
Report templates: mid-year
report, final
report.
Engineering standards: Introduction to
Standards, RoHS,
excerpt of IEC60601,
excerpt of AAMI EC11, AAMI
catalog.
Class photos: 2015,
2016, 2017,
2018,
2019.
URI Undergraduater Research and Innovation:
Link.
Class meets from 1:00 pm to 4:45 pm on Monday in the spring, with a
lecture from 1:00 pm to 1:50 pm, starting September 9, 2019 in the
BME Lab (Engineering room 110).
Capstone Projects 2019-20 Fall'19
Demo
Prof. Ying Sun is the lead supervisor of
the following projects:
- MagnetPeutics: Innovative motor design for rotating therapeutic
permanent magnets – To develop a circuit controlled motor assembly to be used
in a transcranial magnetic stimulation helmet for stroke rehabilitation.
(Collaboration with Dr. Brian Silver, Neurology, UMass Medical School, Worcester).
Victor Chung, Joseph Reyes, Julius Chen
- Prosthetics: Balance detection with vibro feedback for lower limb
prosthetics – Develop a 3D model of a lower-limb prosthetic that detects the
balance of the amputee. It will involve an arduino board including an accelerometer,
gyrometer, and magnetometer on top of the foot to measure the angles and
direction in the XYZ planes at both stationary and moving positions. The board will
be connected to vibrotactile device that will alert the amputee when they are off
balance. (Collaboration with Prof. Kunal Mankodiya's lab).
Amanda Celia, Steph Hamilton, Becky LeBlanc
- ModelHouse: Model house for assistive living – Develop a scaled-down
model house to demonstrate assistive technology devices that are more difficult to
implement in full scale. The house will include a motorized wheel-chair lifter and
self-descending cabinets. (Collaboration with Ocean State Center for Independent
Living, Lorna Ricci). Lexie Duntzee, Kiera Mantyla,
Mackenna Dunn
- Neuron: Voltage-clampable electronic neuron emulator – Implement
a novel design of the action potential generation circuit such that the rise time can
be reduced and fall into the physiological range. The resulting instrument will have
a significant impact. It will allow the neuroscientists and equipment manufacturers
to test, calibrate, and evaluate their electrophysiological instruments without the
need of preparing an experimental setting with live neurons. Develop an
experimental setup for microelectrode recording of live neuron.
Klara Szilagyi, Madison Lewis
- CellCap: Emulating capacitance change during cell endocytosis and
exocytosis – Cell Capacitance Emulator/Digital Voltage Clamp - The purpose of this
project is to create a system that measures the dynamic changes of the cell membrane
capacitance due to endocytosis and exocytosis, specifically that of a neuron. The
device will ideally replicate live biological processes that can eliminate the need for
wet lab electrophysiological testing. As for the digital voltage clamp, we would like
to develop an experimental setup for microelectrode recording of live neurons. The
digital voltage clamp will be utilized to test the cell capacitance emulator.
JT Ketzebberger, Aaron Landry
Prof. Eugene Chabot is the lead supervisor
of the following projects:
- EyeBlink: Classifying eye movement using machine learning on EOG
signals – We will be using machine learning to characterize eye-movement using
recorded EOG signals. A neural network or other paradigm will allow for the recognition
of gaze direction from the signal and possibly control a system like a cursor.
Dylan Kennedy, Graem Timmons, Renee Gordon
- LimbMonitor: Limb activity monitoring during sleep – Wearable sensors
including accelerometers, gyroscopes, and magnetometers will be attached to all four
limbs to track the amount and type of movement being done. This will allow a clinical
trial to be carried out giving insight into how much and what kind of movement will
decrease the likelihood of blood clots in stroke patients. (Collabotation with
Dr. Brian Silver, Neurology, UMass Medical School, Worcester).
Ryleigh Alfonse, Kate O’Rourke, Jackson Gutekunst
- iGolf: Adaptive golf tee off practice – Create adaptive sports equipment
for disabled Veterans to relearn golf with their disability. VA Providence is interested
specifically in designing golf balls that provide auditory feedback for blind Veterans.
(Collaboration with Providence VA Medical Center, Jordan Anderson).
Brendan Driscoll, Alex Hastings, Prestor Saillant
- Hearing: Online hearing loss test – Develop a web-based test for
hearing loss using a series of “Yanny or Laurel” type of questions.
Arjita Bhasin, Micheal Kukluski, Richard Sirisouk
- Balance: Intelligent balance board for rehabilitation – Develop a
sensor-embedded wobble board for rehabilitation of ankle or knee injuries with a
focus on adding a stress sensor to determine pressure applied by different parts of
the foot and improving real-time feedback/calculation. (Collaboration with physical
therapist Craig Simpson). Rafael Javier, Dann Erwin,
Tobi Williams
Prof. Jiang Wu is the lead supervisor
of the following projects:
- BikeHelmet: Bicycle helmet turning signals – Existing bicycle helmets
with turning signals are relatively expensive due to the use of wireless remote
controls. Using accelerometers & gyroscopes embedded in the helmet, the turning
signals can be activated with a jerk of the head toward the right or left.
(Collaboration with Dr. Brian Silver, Neurology, UMass Medical School, Worcester).
Rock Fortna, Josh Brodeur, Alex Roduit
- PainDetect: Detection of facial expressions in pain – Develop a
personalized pain detector based on a real-time image processing algorithm
implemented on an Android smart phone or tablet. The focus is on scale and
rotation invariance for a pixel based matching algorithm. (Collaboration with
Seven Hills RI, Marie Capobianco). James McIntyre,
Amal Guptan, John Kearns
- PulseOx: mplementation of pulse oximetry in the Biomedical
Instrumentation Lab – To develop a reflective pulse oximeter for measuring arterial
oxygen saturation and heart rate based on the PIC microprocessor system developed
at the URI BME Lab. Nick Akers, Douglas Coppa,
Nathan Labonte
- UV: Disinfection chamber using ultraviolet light – Improve
last year’s UV disinfection chamber to safely kill surface bacteria on medical
equipment, with a specific focus on oxygen tanks. Perform tests to determine
appropriate exposure time and effectiveness of the UV dosage. (Collaboration
with Providence VA Medical Center, Jordan Anderson).
Elizabeth Bushey, Sam White, Rebecca Donegan
Capstone Projects 2018-19
Prof. Ying Sun is the lead supervisor of
the following projects:
- HR (heart rate monitoring for the newborn): HR of the
newborn provides useful information for performing the CPR. The
objective is to develop a light-weight HR monitor using a
reflective PPG sensor taped to the forehead of the newborn. The
device needs to provide reliably beat-to- beat HR on a small LCD
or OLED display with a minimal setup time. The device eventually
is intended to be disposable. Pulse oximetry can also be
helpful, but not essential at this point. An ECG based approach
is another option, which needs to address the issue of electrode
placement. This topic could support two teams with each team
taking on a different approach. Clinical adviser: Dr. Greg Welch
(who has a pending patent on this invention). Luke
McConnaghy, Alex Gray, Brandon Williams.
- PAR (pulse amplitude ratio for assessing heart
failure): Using photoplethysmogram to measure PAR during the
Valsalva maneuver, a forced exhalation against a closed glottis
(throat). A large PAR is associated with a healthy heart with a
responsive baroreflex control of the autonomic nerve system.
This ratio is likely decreased in heart failure patients and
thus can serve as a useful marker. The present project aims to
developed the instrumentation system for PPG that can measure
PAR as well as the induced heart rate variability during the
Valsalva maneuver. (Potential collaboration with Dr. Carlo De
Cecco of Emory University). Kareem Boura,
Mack Cash, Rebecca Edgerton.
- Neuron (electronic neuron emulator): Develop a new
version of the electronic neuron emulator that can represent the
wave shapes of the sodium and potassium currents better. Test
the voltage clamp performance of a commercial voltage-clamp
amplifier and our own Universal Clamp using the improved neuron
emulator. Pascaline Uwase, Fatima Issa,
Huafen Guo Samuel Ng.
- HRV (heart rate variability): Using ECG to heart rate
variability (HRV) during the Valsalva maneuver, a forced
exhalation against a closed glottis (throat). Heart variability
can be assessed during the Valsalva maneuver or the sudden
standing-up. The former is related to preload, while the latter
is related to afterload of the heart. For heart failure patients
we expect lower heart rate variability during the Valsalva
maneuver. The present project aims to fine-tune the
instrumentation system for ECG using a PIC-based circuit and to
display the current beat-to-beat heart rate on an Android
application developed with Android Studio. (Potential
collaboration with Dr. Carlo De Cecco of Emory University) Abdulrahman
Alsasa, Nate Guillemette, Dylan Young.
- PPG (continuous heart rate monitoring based on PPG):
Beat-to-beat heart rate monitoring during exercise is typically
done with ECG, and is much more difficult with PPG. Commercial
PPG HR monitor (such as Apple Watch or FitBit) usually determine
HR with a 15-s average. One idea is to develop a sinusoidal
oscillator with frequency modified by a digital phase-lock- loop
in synchronization with the PPG. An effective beat-to-beat HR
monitor based on PPG should represent a significant
break-through and has commercial value. Jake
Matte, Jack Cammarata.
Prof. Eugene Chabot is the lead supervisor
of the following projects:
- LimbMonitor: Develop a motion sensing system using
miniature accelerometers that measure movement of each limb for
patients who are lying in a hospital bed. Dr. Silver would like
to do a research studying comparing different durations of bed
rest following stroke. It would be very useful to have
information on what the total volume of movement was throughout
the day and what percentage is represented by each limb.
Clinical adviser: Dr. Brian Silver (neurologist, UMass Medical
School). Sydney Robinson, David Edgar,
Julia Donovan.
- FireFighter (smart firefighter helmet): Develop a
physiological and environmental monitoring system by embedding
sensors such as pulse oximeter in the seal of a firefight helmet
against the forehead with display and communication capabilities
based on Bluetooth and smartphone. Jake
Duerwald, Tom Totillo, David Cleary.
- Balance: Develop and improve an intelligent wobble
board that has embedded motion sensors into for rehabilitation
of ankle or knee injuries. The motion signals are wirelessly
transmitted to a smartphone, which provides instructions for
specific rehab protocols, keeps scores, and analyzes the data.
The focus will be on an IRB-approved study and adding a stress
sensor to determine pressure applied by different parts of the
foot and improving real-time feedback/calculation. Clinical
adviser: Craig Simpson, physical therapist. Tessa
Arsenault, Aiden Keene, Meghan Keenan.
- VR/AR (virtual reality and augmented reality): Apply
VR/AR technology (such as the Google's ARcore library for
Android) to therapy programs for stroke rehabilitation. The use
of VR as a form of rehabilitation method will allow patients to
perform the exercises whether they are bedridden or at home. The
system can be modified for those in a wheelchair or for those
who only need to exercise a specific limb to prevent atrophy. It
will focus on researching and applying general muscle exercises
and routines in the form of VR based everyday activities to
provide patients with a basic procedure on how to perform these
exercises. Corvah Akoiwala, Anya Brian
Duroha, Merci Ujeneza .
Prof. Jiang Wu is the lead supervisor of
the following projects:
- SafeTransport: Improve the prototype of system for
safe transport and storage of infusion pumps and other IV pole
transported equipment. Collaboration with the Providence VA
Medical Center. Lilly Margolis, Laura
Parra, Scott Selig.
- UVcabinet: Improve the prototype of a UV disinfection
cabinet to safely kill surface bacteria on medical equipment.
Assess the effectiveness of UV exposure for objects with
irregular shapes. Collaboration with the Providence VA Medical
Center. Andrew Strong, Sam Charpentier,
Kendra Michaud.
- Hearing (hearing lost characterization): A filter
bank will be developed to generate audio clips that missing
specific frequency bands. In a sense similar to the “Laurel or
yanny” test, a serial of A-B tests will be developed. A scoring
system to assess the auditory sensitivity in the low-, middle,
and high-frequency ranges will be developed. An IRB-approved
human study will be conducted. The participants will be asked to
go through the test and be assessed. The initial development can
be done on a laptop using MatLab. The final implementation can
be in the form of an Android app. Justin
Jewell, Liam Stamp, Mohammed Janoudi.
- iClimb (rock climbing aid for persons with prosthetic
lower limbs): Improve the prototype of embedded pressure sensors
embedded in shoes to help persons with prosthetic limbs during
rock climbing. Design and conduct an IRB-approved study to
evaluate the safety and effectiveness. Collaboration with the
Providence VA Medical Center. Meaghan
O’Connell, Lauren Bartlett,Gianna Morrongiello.
Capstone Projects 2017-18 Fall'17
Demo Spring'18 Demo
Prof. Ying Sun is the lead supervisor of the following
projects:
- Biofeedback: Develop a microprocessor frontend for
measuring ECG and temperature and an Android app that implements
a biofeedback protocol for controlling emotion dysregulation (in
collaboration with Seven Hills health and human services). Elaine
Joyce, Samantha Provencher, Zachary Silveira. Proposal
- AAC: Develop an EMG based adaptive switch and an
Android app that provides Augmentative and Alternative
Communication (AAC) using the built-in Android accessibility and
text-to-speech functions (in collaboration with Seven Hills
health and human services. Joshua Harper,
Zachary DiMartino. Proposal
- ModelHouse: Design a 16:1 scale accessible model
house for demonstrating home modifications and various assistive
technologies such as wheelchair lifter and accessible kitchen
counter for persons with limited mobilities (in collaboration
with Ocean State Center for Independent Living). Ahmaad
Randall, Amy Harmon, Alexis Welch. Proposal
- MagnetPeutics: Develop a light-weight headwear for
transcranial magnetic stimulation (TMS) rehabilitation
treatments that uses a novel design to achieve fast and quiet
rotation of permanent magnets (in collaboration with Dr. Brian
Silver of UMass Medical School). Austin
Ramos, Zachary Brown, Juan Malvar. Proposal
- PulseSim: Intended for teaching pulse diagnosis in
traditional Chinese medicine, develop a simulator that can
represent blood vessel width in addition to depth, strength,
rhythm, length, and propagation (in collaboration with
veterinarian Dr. Mona Boudreaux). Mackenzie
Mitchell, Jake Morris, Ian Kanterman. Proposal
Eugene Chabot (Ph.D., Naval Underwater Warfare Center) is the
lead supervisor of the following projects:
- PainDetect: PainDetect: Develop a personalized pain
detector based on a real-time image processing algorithm
implemented on an Android smart phone or tablet (in
collaboration with Seven Hills health and human services). Rachel
Bellisle, Jessika Decker, John McLinden. Proposal
- IRsensor: Develop a laser-guided IR sensor with
temperature display and physiological signals such as breathing
rate on an OLED screen to be integrated into a firefighter face
mask. Ryan Dolan, Seth Gergel. Proposal
- PPG: Develop and compare the reflectance and
transmittance photoplethysmogram (PPG) systems for heart rate
monitoring at various location. Aaron
Gilmore, Sydney Beck, Emily Ensom. Proposal
- Balance: Develop a sensor-embedded wobble board for
rehabilitation of ankle or knee injuries with a focus on adding
a stress sensor to determine pressure applied by different parts
of the foot and improving real-time feedback/calculation (in
collaboration with physical therapist Craig Simpson).
Daniel Salazar Herrera, ThankGod Ugochukwu,
Matthew Brass. Proposal
- EOG: Develop a PIC-processor based electroculogram
system using two pairs of skin electrodes around an eye. The
project aims at the combination of EOG and electromyogram (EMG)
to improve accuracy and reliability of controlling assistive
device. Ryan Ivone, Peter Cerce, Greggory
Dambrosca. Proposal
Jiang Wu (Ph.D., Bose Corporation) is the lead supervisor of
the following projects:
- EyeBlink: Develop a video-based real-time algorithm
to detect eye blinks. The system aims at controlling assistive
devices for persons with disabilities. Rachael
Amore, Jason Mercier, Sawyer Nichols. Proposal
- PulseOx: Implement a pulse oximeter sensor with the
PIC-processor based system used in our biomedical
instrumentation course. Derek Santos, Rory
Caldas. Proposal
- RFID: Using the radio frequency identification (RFID)
technology, track personnel in a hospital environment when they
enter or exit a specific area with a focus on the development of
a web server (in collaboration with Dr. Brian Silver of UMass
Medical School). Tyler Gagan, Delaney
Santos, Lauren Porto. Proposal
- Spectrogram: Develop a real-time spectrogram app on
an Android smart phone based on the short-time Fourier transform
for monitoring the frequency-domain characteristics of the
electromyogram (EMG). James Baez, Melissa
Santi. Proposal
- Insole: Develop a sensors-embedded shoe insole with a
smartphone display for real-time pressure distribution of the
foot (sponsored by Delsys Inc. of Natick, Massachusetts. Colby
Thomas, Timothy O'Connor. Proposal
Jordan Anderson (MS, Chief Clinical Engineer, Providence VA
Medical Center) is the lead supervisor of the following
projects:
- TeeItUp: Create a smart tee with IR range sensors and
an audio feedback (pitch-varying beeps) to help aiming the golf
club for golfers with visual impairments (in collaboration with
Providence VA Medical Center). Proposal
- iClimb: Use embedded pressure sensors in a shoe to
provide foot placement feedback and help people with prosthetic
limbs during rock climbing (in collaboration with Providence VA
Medical Center). Jillian Holden, Emma
Orton, Riley Temple. Proposal
- SafeTransport: Create a safe linkage and storage
system that meet hospital standards to help protect infusion
pumps and other IV pole transported equipment from damage (in
collaboration with Providence VA Medical Center). Dan
Haberek, Daniel O'Brien, Margaret Franklin. Proposal
- UVcabinet: Create an ultraviolet (UV) disinfection
cabinet to safely kill surface bacteria on medical equipment (in
collaboration with Providence VA Medical Center). Daniel
Medeiros, William Kiernan, Kyle Riley. Proposal
Capstone Projects 2016-17 (Click here
for a tabulated summary.)
One-slide presentations: all demos
Download all 13 NEBEC papers
for the senior design competition of NEBEC
at New Jersey Institute of Technology on March 31, 2017.
Prof. Ying Sun is the lead supervisor of the following projects:
- MagnetPeutics: Adjustable lightweight transcranial
magnetic stimulation helmet for brain injury rehabilitation.
--- Rachel McAteer, Alex Gianos, Daniel Wec, Tanya Wang;
clinical adviser: Dr. Brian Silver (neurologist, UMass Medical
School); paper
- Handwashing: Radio frequency identification and
mobile technologies for personnel tracking in a hospital
environment. --- Robert Thottam, Joshua
Powers, Michael McAfee, Tanya Wang; clinical adviser:
Dr. Brian Silver (neurologist, UMass Medical School); paper
- RFID: Radio frequency identification for the
development of a smartphone integrated monitoring system for
hand hygiene compliance. --- Tou Khang,
Jacques Dorval, Esteban Tamayo; clinical adviser: Dr.
Brian Silver (neurologist, UMass Medical School); paper
- Riders: The implementation of safety systems into
ride-on cars to enhance play therapy for children with physical
disabilities. --- Celia Dunn, Alaa Eid,
Miranda Mitchell, Joseph Maestri; in collaboration with
the Lil'
Rhody Riders Program of URI Physical Therapy; paper
- HRV: Developing an Android application to determine
short-term induced heart rate variabilities.
--- Leah Acquaviva, Emma Hindinger, Abdullah Albakr;
clinical adviser: Dr. Sal Charamida (cardiologist, Medical Univ.
of South Carolina); paper
Eugene Chabot (Ph.D., Naval Underwater Warfare Center) is the lead
supervisor of the following projects:
- PPG: Impact of placement of facial PPG sensor on
pulse-rate monitoring accuracy. ---
Matthew K. Bailey, Colton J. Smaldone; paper
- Balance: Developing an Android application to
determine short-term induced heart rate variabilities.
--- Thomas Jancura1, Kelley Magill1, Ryan Buckley;
clinical adviser: Craig Simpson (physical therapist); paper
- VisualSub: Pattern recognition of dorsal mounted
linear vibrotactile array. --- Samuel
Karnes, John Donahoe, Chris Morino; paper
- EOG: Integrated EOG and EMG front-end for
differentiating intentional and unintentional blinks.
--- Mark Plugovoy, Matthew Forde, Tanya Wang; paper
Jiang Wu (Ph.D., Analog Devices, Inc.) is the lead supervisor of
the following projects:
- Weight: Android application to prevent foot ulcers
and monitor weight of diabetic patients.
--- Brian McHugh, Michelle Bierman, Ryan Brown; paper
- Height: Ultrasonic sensors height and BMI device.
--- Alexander Nguyen, Michael Heath, Anthony Messina; paper
- EyeBlink: Image-based open/closed eye status
determination for embedded system. ---
John Paquet III, Andrew Rosenberg, Rory Makuch; paper
- Retinal: GUI based optic disc and cup
characterization from fundus images. ---
Samuel Spink, Mitchel Apatow, Scott Goyette; paper
Capstone Projects 2015-16 (Click here
for a tabulated summary.)
One-slide presentations: all demos
Download all 12 NEBEC papers
for the senior design competition of NEBEC
at SUNY Binghamton on April 5, 2016.
The following projects have Dr. Ying Sun as the lead supervisor:
- MagnetPeutics: This project is co-supervised by Dr.
Brian Silver (a neurologist) of RI Hospital to develop a
portable helmet with permanent magnets for the rehabilitation of
stroke patients. The magnet fields from the neudymium magnets
are alternated with a rotational mechanism. The engineering
techniques include mechanical design with SolidWorks, 3D
printing, pulse-width modulation for motor speed, and PIC
microprocessor. --- JessH, MikeC, MosaA
- Ride-on Cars: This project aims at adapting ride-on
cars for children with mobility impairments, allowing them to
better interact with peers and improve muscle strength and
coordination. Each car will be custom adapted for each child's
specific needs. We hope that this will increase each
child's confidence and encourage them to actively participate in
social interactions. The technical components include the design
of supporting structures with thermally formed PVC pipes and a
collision avoidance device based on ultrasound detectors and PIC
processor. This project is in collaboration with Physical
Therapy students Sandra Maliangos and Coral Hines. Video,
Sample
Instruction Manual, Fundraising
page. --- CaraN, KatieB, ZachC
- StoveFence: This project is co-advised by Dr. Shahla
Yekta (URI Nursing) who is the lead scientist of the Burn
Prevention -Africa project funded by the United Nations.
Many children in the slums of Kenya have suffered from burns
over coal stoves used inside their living areas. This project
aims at developing a prototype based on a multi-panel metal mash
design, identifying locally-available alternative materials, and
reducing costs. (This project won the 3rd
Place Prize of the NEBEC'16 Undergraduate Design Competition.)
--- TracyW, RobV, SokounP
- 3DTissue: This project is co-advised by Prof.
Samantha Meenach of Chemical Engineering. The project aims at
the design of a tissue culture platform for growing 3D tumor
spheroids in partial air culture. Since this has never been done
before, there isn't a good way to do this in a high throughput
fashion at this point. The techniques include SolidWorks
designs, 3D printing, and mold constructions using silicone
rubber. The platform also includes a multi-compartment hood for
the administration of drugs in an aerosol power form. Image
analysis techniques will be used to assess the effectiveness of
the design in terms of the evenness of the spray."
--- KatieN, TasiR, AnaliciaB
- PulseSim: This project is in collaboration with Dr.
Mona Boudreaux (Past President, American Holistic Veterinary
Medical Association) and Prof. Faye Boudreaux-Bartels. Pulse
diagnosis is an important technical for diagnosing various
diseases in the traditional Chinese medicine (TCM). Using three
fingers to feel the pulses at the wrist, an expert in TCM can
detect up to 29 different pulse patterns. This project aims at
developing a graphical user interface (GUI) for specifying
various pulse waveforms to be downloaded and executed by a novel
wrist pulse simulator. --- SaraB,
JosephM, GeorgeH
The following projects have Dr. Eugene Chabot as the lead
supervisor:
- iWobble: This project is co-supervised by physical
therapy expert Craig Simpson. A smartphone has been incorporated
into a wobble board to report real-time ankle attitudes during
ankle sprain rehabilitative treatment. The original design from
last year requires further development. The front-end can be
redesigned to be embedded in the wobble board. The Android
software can be extended to include various protocols for
rehabilitation. --- BrettK, MattB,
CoreyG
- bPASS: This project aims to develop a physiological
monitoring system for the firefighters, called the Biomedical
Personal Alert Safety System (bPASS), based on a PIC
microprocessor and an Android smartphone. A warning signal is
sent out by the phone if the heart rate is outside a predefined
normal range. Additional physiological and environmental signals
can be incorporated, such a breathing rate, SaO2, activity
level, temperature, CO2 level, CO level, and location from GPS.
This project can be further split into two parts, one focusing
on the general bPASS design, another focusing on the
instrumentation inside the fireman's face mask.
--- RobB, MikeT, JohnP, TannerB
- HRAge: This project introduces a novel index called
the Heart Rate Age (HRAge) that reflexes a person's
physiological age based on the induced heart rate variability
(HRV). The baroreflex sensitivity is determined by the percent
increase of heart rate resulting from an intervention such as
the Valsalva maneuver or sudden standing-up. The induced HRV
decreases with age, thereby correlating to a person's age in
terms of the autonomic function. The formula for estimating
HRAge will be determined from an IRB-approved human study. Data
on induced HRV, age, sex, and body mass index (BMI) are being
collected. --- AmandaJ, CallieT
- VisualSub: This device relays motion information to
an Android based Smartphone through the sense of touch. An
Android App implements real-time image processing where motion
is translated to vibrations using buzzers that are located in a
belt that the user will wear around their waist. This assistive
technology promotes the visually impaired to have greater
independence and restore their freedom.
--- RichM, CodyG, JustinP
The following projects have Dr. Jiang Wu as the lead
supervisor:
- CellCap: Exocytosis and endocytosis are important
mechanisms for a cell to transport substances in and out. This
is typically done by forming vesicles that carry substances
through the cell membrane. When a vesicle cross the cell
membrane, the surface area of the cell momentarily increase,
which can be observed by monitoring cell capacitance with an
electrode. This capacitance change is very small (on the order
of 10 femto farads) and very difficult to measure. Dr. Sun and
Dr. Wu have a novel instrument and algorithm to monitor the cell
capacitance in a fast and accurate fashion. This project
involves the development of a novel analog cell capacitance
model, Matlab programming, and/or embedded instrumentation.
--- MorganH, LisaR
- Neuron: This project aims at improving a neuron
emulator previously developed in our lab. The new design
includes the representation for both the inward current and the
outward current. Thus, the action potential waveform now
accurately represents the hyperpolarization phase. The neuron
emulator provides a useful means for teaching and for testing
neuroscience instruments such as the patch-clamp amplifier. This
technology has been included in a licensing agreement between
URI and the Neuroscience Tools, a St. Louis based company, for
commercialization. --- ViT, KimH, JessB
- iActivity: This project aims at developing a
cost-effective platform for real-time analysis of the daily
activities for the older adults. The project is sponsored by
Analog Devices, Inc. (ADI). ADI has donated two units of their
Blackfin Low Power Imaging Platform (BLIP) built around the
ADI's ADS-BF70X processor. Image processing algorithms are
developed to perform local image/video processing for detection
of occupancy, body positions, and body movements, and so on.
Specific movement patterns can be used to identify situations of
concern such as sudden fall, inactivity, overactivity, sedation,
long-time sitting, dozing off, tremors, etc.
--- ShaneR, ToriD, JesseM
Capstone Projects 2014-15 (Click here
for a tabulated summary.)
Instructors: Ying Sun, Ph.D., Eugene Chabot, Ph.D.;
BME Technician: Tanya Wang
- Transcranial-magnetic Stimulation (TMS) Helmet - a
light-weight helmet with permanent magnets to be worn by stroke
patients during routine rehabilitation. The magnets are flipped
to alter their polarity under the control of a microprocessor -
Shante Dezrick, Riley Davis, Zachary Jacobson, (Sponsored by Dr.
Brian Silver of Rhode Island Hospital): paper,
proposal .
- Heart Rate Monitoring During Physical Exercise - A
photoplethysmogram (PPG) database from an IEEE sponsored
cometition is available for developing an effective heart rate
meter during exercise. The project also aims at the development
of a rist-Type PPG heart rate meter during exercise using a PIC
processor - Christian Chipouras, Anthony D'Onofrio, Kyle Sexton:
(IEEE Signal Processing Society Challenge):
paper, proposal
.
- Multi-Sensory System For Monitoring Diskinesias in
Movement Disorders - This project aims at designing a
body-worn multisensory system to detect dynamic
symptoms??tremors, dyskinesias, and freezing of gait??associated
with movement disorders . The sensors will send the data
wirelessly to a close-by computer for signal processing and data
analysis. It is also desired to produce symptom severity score
which is very important element of clinical interventions
-Trevor Bernier, Dan Tamayo, Thomas Lennon (Sponsored by Dr.
Kunal Mankodiya): paper,
proposal .
- EEG Based Controls for Assistive Technology -
The project aims at research and development of the use of
electroencephalogram (EEG) to operate a switch, which in turn
can control assistive technology devices for persons with
disabilities. A Brainwave Headset (NeuroSky Mindwave) is used in
the development of the initial prototype - Angelo Butera, Seth
Crino, Tanya Wang (Sponsored by Dr. Ying Sun): paper,
proposal .
- Rehabilitation Device with Proprioception Feedback
- The project aims at the development of a device to
provide proprioception feedback for improving the efficacy of
rehabilitation - Dana Demers, Erik Simpanen, Shawn Volpe
(Sponsored by Dr. Eugene Chabot and Craig Simpson): paper.
- Android Based Visual Sensory Substitution Device -
This device relays motion information through touch/auditory
sense to persons with visual impairments. Using the processing
power of an Android smartphone, motions of large objects are
extracted from a video stream. The motion information is
conveyed to the user by use of touch and/or auditory signals -
Jordan Sudario-Cook, Matthew Colletti, Brian Volpe (Sponsored by
Dr. Eugene Chabot): paper,
proposal .
- Activity Analyzer with voice-Guidance for Independent
Living Environments (AAGILE) implemented on an Android
smartphone - An invention of Prof. Patricia Burbank (URI
Nursing) and Prof. Ying Sun, AAGILE is a wearable device of with
motion sensors and voice record/playback IC to encourage
exercise for the older adults. A previous prototype has been
built on a PIC processor platform. This project aims at the
development of a new prototype of AAGILE based on an Android
smartphone - Richard Kue, Nicholas Paiva, Kelsey Matthews
(Sponsored by Burbank Industries): paper,
proposal .
- Silicone Head model with Airway Blockages - This
project aims at developing a silicone head model with an
anatomically correct airway. The focus of this project is to
measure the frequency spectra of the breathing (airflow) sounds
in relation to blockages at different sites such as the larynx
and the back of the tongue where the problem of sleep apnea
usually arises. - Jeremy Galle, Madison Moreau, Brian Myette
(Sponsored by Dr. Ying Sun): paper,
proposal .
- Myoelectric Controls for a Lego Mindstorms Robot -
Electromyogram (EMG) can be used to control assistive technology
devices. This is an continuing project that develops a PIC based
2-channel EMG systems to interface with a Lego Mindstorms system
via a bluetooth link - Jamie Brooks, Nicholas Gomes, Preston
Steele (Sponsored by Dr. Ying Sun): paper,
proposal .
Capstone Projects 2013-14 (Click here
for a tabulated summary.)
Instructors: Ying Sun, Ph.D., Eugene Chabot,
Ph.D.; Teaching assistant: Brian Ramos,
Andrew Dunne
Download all 7 papers for
the Northeast Bioengineering Conference, Boston, April 25-27, 2014.
- Automated Applied Pressure Control for Acoustic Signal
Analysis with an Electronic Stethoscope. Jonathan Ims, Samuel
Hastings. Paper.
- Graded Muscle Contractions Determined by Temporal Recruitment.
Brooke McCarthy, Kimberly Stephens, Caitlyn King. Paper.
- Instrumentation for Cell Capacitance Measurements: Switching
Sinusoidal Excitations for Studying Cell Membrane Transport.
Joseph Cullen, Prashil Patel, Julia Shannon. Paper.
- Medication Reminding Activity Analyzer for Guided Independent
Living Environments (MRAAGILE): Implementing Motion Dependent
Medication Reminders. Alexander Batrakov, Patrick Merida, Nathan
Bartels, Patricia Burbank. Paper.
- A Microprocessor-Based Wrist Pulse Simulator for Pulse
Diagnosis in Traditional Chinese Medicine. Steven McLellan,
Christina Liese, Melissa Andrews, Mona Boudreaux, G.F.
Boudreaux-Bartels. Paper.
- Time Dependent Skin Impedance Model: For the testing of
electrocutaneous stimulating electrodes. Courtney Medeiros,
Christopher Ross DeSanto, Ryan McDonough. Paper.
- An Upper Airway Model for Studying the Acoustic Properties of
Breathing Sounds. Andrew McNaught, Connor Walsh, George Douleh.
Paper.
Capstone Projects 2012-13 (Click here
for a tabulated summary.)
Instructors: Ying Sun, Ph.D., Eugene Chabot,
Ph.D.; Teaching assistants: Brian Ramos,
Aleksey Gladkov
- Activity Analyzer with voice-Guidance for Independent Living
Environments (AAGILE). Tanya Wang, Josh Harvey, in collaboration
with a nursing student (Rachel Gingras) and faculty (Prof.
Patricia Burbank): Paper, Progress
Report.
- Audio based visual substitution system. Garo Tashian, Cameron
Elliott, Jeffery Crispo: Paper,
Progress Report.
- The effect of recording methods on the frequency response for
an electronic stethoscope. Brittany Alphonse, Andy
Spiewak, Erik Walder: Paper
(FFT), Paper
(device), Progress
Report. (This project won the
2nd Place Prize of the NEBEC'13 Senior Design Contest.)
- Highly efficient, low-cost environmental control system. David
Ramsay, Brian Kennedy: Paper,
Progress Report.
- Mixed-signal myoelectric controls. Kaitlin Abbate, Thomas
Franklin, Morgan Rosenberger: Paper,
Progress Report.
- Neuron emulator. Angela Phongsavan, Stephen Sladen: Paper,
Progress Report.
- Silicone head model with upper airway for studying breathing
acoustics. Gemma Downey, Thaeje Shanker: Paper,
Progress Report.
- Smartphone based voice activated switch. Nicholas Mulhern,
Nicholas Beretta, Neil McCaffrey: Paper,
Progress Report.
Capstone Projects 2011-12
(Presented at the 38th Northeast Bioengineering Conference, Temple
University, Philadelphia, PA, 2012)
- Greene H, Dulude C, Neves A, Sun Y, Burbank P. Performance
evaluation of the activity analyzer. 38th Northeast
Bioengineering Conference, Philadelphia, PA, March 16-18, 2012.
(This project won an award of the NEBC'12 Senior Design
Contest.)
- Barrena S, Klotz L, Landes V, Page A, Sun Y. Designing
Android applications with both online and offline voice
control of household devices. 38th Northeast
Bioengineering Conference, Philadelphia, PA, March 16-18, 2012.
- Gladkov A, Fagbote M, Hill R, Sun Y. Force
clamp and electrical stimulation on decapod appendages.
38th Northeast Bioengineering Conference, Philadelphia, PA,
March 16-18, 2012.
- Lum E, Perez C, Sun Y. On
detecting and adaptive timing for electromyogram based control
signals. 38th Northeast Bioengineering Conference,
Philadelphia, PA, March 16-18, 2012.
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