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Senior Capstone Design is one of the most important courses in the four-year curriculum. Students work beyond the traditional classroom setting to apply technical knowledge to actual biomedical engineering problems.

Teams are graded on their requirements analyses, feasibility studies, financial analyses, system designs, engineering drawings, prototype hardware, computer programs, presentations, demonstrations and reports. The experience helps students bridge the gap between their academic and professional careers by exposing them to realistic design processes, teamwork and expectations of practicing engineers.

Teams meet periodically with their client to review designs and provide written and oral progress reports. At the end of each semester, teams give a final presentation and write a design report. Evaluation is based on individual and team performance.

Senior Capstone Design provides these development facilities for the project teams. 

• Projects Lab (LN-G111)
• Tech Lab (EB-A4)
• Special Projects Lab (EB-A8)

The Projects Lab has a diverse array of benchtop equipment, which is assigned to individual teams as needed. The Tech Lab has a 3D digitizer, two 3D printers, and several surface-mount technology soldering systems. The Special Projects Lab is used for larger projects that will not fit into the Projects Lab. 

2025 Biomedical Engineering Senior Design Projects 

• UHS: Syringe Preparation System

  The goal of this project is to develop a machine that automates the process of syringe preparation in medical clinics. This machine will streamline the sterile packaging, handling and loading of syringes with one or more medications, attach an appropriate injection needle and apply a patient-ID label, significantly reducing the time medical staff spend manually preparing injections, which currently takes 1-3 minutes per procedure.

• UHS: Needle Tip Localization 

  

  The goal of this project is to develop advanced needle technologies that can inform users of the specific tissue type the needle tip is in during an injection, improving the safety and efficacy of medication delivery. This will enhance the precision of injections in various tissue types, such as joint capsules, muscles, tendons and subcutaneous fat. Building on last year's progress in distinguishing between skin, fat and muscle, the project aims to further enhance needle accuracy in tissue identification.

• Non-Invasive ACL Rehabilitation Quantification Device

  
  The goal of this project is to develop a machine that provides quantitative measurements of the strength and elasticity of the anterior cruciate ligament (ACL). This tool aims to improve the accuracy and objectivity of ACL sprain assessments, which are typically evaluated manually by clinicians. By offering precise data on ACL laxity, the machine would enhance clinical practice and research related to ACL injuries.

• UHS: Measuring Bone Movement in vivo

  

  This project aims to develop a non-invasive method for measuring bone movement in the body, such as wrist movements during hand motions or spinal movements during chiropractic manipulation. Current methods like fluoroscopy are effective but cumbersome and involve ionizing radiation. A new solution, either general or joint-specific, is needed to improve accuracy and safety, as previous visible light-based attempts had poor resolution.

• UHS: Accelerometers for Sports

  
  The goal of this project is to develop a system that measures acceleration in six axes (three linear and three rotational) at high frequency, providing estimates of changing velocity, acceleration, and jerk during collisions that may cause clinicalor sub-clinical TBIs. This project will include market research on current solutions and intellectual property, with the aim of improving existing technologies. Additionally, teams can explore whether impacts to the body can transmit sufficient force via the neck to cause concussions by measuring torso collisions and correlating them with head impacts.

• UHS: Autonomous Driver-Safety Assessment 

  

  This project aims to create an app that accurately detects when a user is driving and logs essential metrics, such as speed and acceleration, to evaluate driving safety. The solution will support concussion research and improve studies on driving proficiency in various contexts, including geriatric assessments and the impact of substance use.

• UHS: Blood-Flow Restriction Device

  
  This project aims to improve existing blood flow restriction (BFR) devices and knowledge by developing a user-friendly, comfortable, and versatile system for applying partial tourniquets during exercise or rehabilitation. The goal is to enhance the effectiveness and affordability of BFR products while exploring non-invasive methods for measuring key physiological parameters, such as volume, metabolite concentrations, pH, and oxygen tension, in flow-restricted limbs.

• Brain Machine Interface for Drone Control

  

  This project aims to enhance environmental monitoring and conservation by integrating brain-computer interface (BCI) technology with drone systems. By enabling drones to be controlled directly through neural signals, we will improve their precision and responsiveness in environmental applications. The focus is on refining BCI technology to seamlessly interface with drone hardware and developing advanced sensors for real-time data collection. Additionally, user-friendly interfaces and training programs will be created to ensure accessibility for environmental scientists and conservationists.

• Upstate: Noninvasive Biosensor for Arterial Flow Monitoring

  

  This project aims to design and develop a noninvasive biosensor for measuring arterial stenosis and occlusion. The device will be wireless and capable of long-term monitoring of arterial patency. Successful completion will produce a prototype that noninvasively detects acute or chronic changes in blood flow across a vessel, potentially alerting patients or providers to severe stenosis or occlusion for timely medical or surgical intervention.

• Hand and Wrist Orthotic for Hypermobile Ehlers-Danlos Syndrome (hEDS) 

  

  This project aims to design and develop a hand and wrist orthotic tailored for patients with hypermobile Ehlers-Danlos Syndrome (hEDS). The orthotic will stabilize the joints while enabling functional use, preventing overextension, reducing joint fatigue and pain, and enhancing hand strength and daily functionality for individuals affected by this connective tissue disorder

• UHS: Automated Preparation of Custom Syringes for Injections 

  

  The objective of this project is to develop a highly efficient, automated machine for custom-preparing syringes for injections. This machine will streamline the preparation process, minimizing errors and maximizing productivity to enhance patient care and safety. Upon successful completion, the machine will accurately determine medication volume, agitate it as needed, label the syringe, and ensure that each prepared syringe is used within the recommended timeframe (typically within 30 minutes) to maintain medication efficacy.

• Heart Rate Monitoring Integrated with Electrical Muscle Stimulation Suit

  
  This team aims to design and integrate an interface between heart rate sensor technology and an existing full-body textile suit to capture patient data. A small sensor will be embedded in the suit to transmit data wirelessly. The next step is to incorporate AI analysis to enhance data capture, providing optimal benefits for patients. This data will assist medical professionals in developing improved protocols for system use, promoting homeostasis between the sympathetic and parasympathetic nervous systems, and tracking patient progression.

• Colorimetric Biosensor for Lactate Detection in Sweat

  
  This project will focus on integrating a sweat chemistry collection device into the suit platform, validating sweat collection efficiency, and developing cortisol detection through colorimetric analysis. The next step is to incorporate AI analysis to enhance data capture for optimal patient benefit. This data will assist medical professionals in improving system protocols and assessing patients' stress responses to stimulation.

• Dynamic Diagnostics: Muscle Stimulation Garment

  

  To bridge the gap between diagnostic sensors and electrical-based interventions (electroceuticals), this team will design and integrate a washable accelerometer system with gyroscopic tilt interfacing with the Neuro20 PRO System. Students will investigate the MEMS 3 accelerometer and gyroscopic tilt sensor, as well as the "rubber band" solution developed by the class of 2024. The project will focus on capturing range of motion, distance, speed of limb articulation, position, respiration rate, and posture. Incorporating AI analysis with the data capture is essential for maximizing patient benefits, and students are encouraged to explore this application.

• Simultaneous Optical Stimulation and Recording System

  Bidirectional access to neural activity with optical means offers non-invasiveness to understand neural circuits and high temporal resolutions. In this project, the team will develop a set of Matlab or Python-based algorithms to program a two-color LED optical stimulation system and cMOS camera recording system. The temporal resolution should match the dynamics of neural action potential and commonly used optogenetics opsins (~milliseconds)

• Living Materials for Creating Self-Healing and Sustainable Concrete

  

  This project investigates non-model bacteria's ability to sustainably synthesize concrete-like materials that can self-heal or repair existing infrastructure. If successful, these bacteria could facilitate habitat construction on the Moon or Mars. The team will first assess the bacteria's capacity to produce these materials, then use a 2 L automated bioreactor to evaluate their self-healing properties. Students will access state-of-the-art research facilities and participate in biweekly progress meetings, with opportunities for funding and entry into national competitions.