LECTURE 7 – FALL2025
Biomechanical engineering
Assoc. Prof. Dr. Jasmin Šutković
Date: 27.11.2025
Course: Introduction to Bioengineering
Bioengineering: The Big Umbrella
• Bioengineering applies engineering principles to biological
systems and living organisms.
• Includes: medical devices and imaging, biomaterials, tissue
engineering, systems/synthetic biology.
• Biomechanics is one subfield within bioengineering.
• Overall goal: improve health, the environment, and our
understanding of biology.
Examples
Biomechanical Engineering / Biomechanics
• Biomechanical engineering combines mechanics, biology, and
engineering to study and design for living systems.
• Often treated as a subfield of mechanical and biomedical
engineering.
• Focuses on:
– motion of the body (gait, sports, posture),
– mechanical behaviour of tissues (bone, cartilage, muscle), and
– devices that interact with the body (prostheses, implants).
How Biomechanics Fits into Bioengineering?
• Bioengineering: broad – all biological systems (health,
agriculture, environment).
• Biomechanical engineering: subfield focusing on mechanics of
tissues and movement within that medical/biological context.
• These areas interact tightly in device design, rehabilitation,
sports, and healthcare.
From Molecules to
the Whole Body
• Molecular/cellular: cytoskeletal
mechanics, cell stiffness, protein
motors.
• Tissue/organ: bone, cartilage, muscle,
tendons, blood vessels.
• Whole body: gait, balance, sports
performance, ergonomics.
• Bioengineering integrates
information from all these scales for
diagnosis and device design.
Mechanical Engineering
Concepts in Living Systems
• Statics & dynamics: joint forces and moments in
standing, walking, and lifting.
• Solid mechanics: stress, strain, and Young’s
modulus of bone, tendon, and cartilage.
• Fatigue & failure: fractures, implant loosening,
tendon and ligament tears.
• Fluid mechanics: blood flow in vessels and
airflow in the lungs.
• Control: neuromuscular control of posture and
movement.
How We Measure
Human Movement
• 3D motion capture (cameras + markers)
to obtain positions, velocities, and joint
angles.
• Force plates to measure ground reaction
forces and moments.
• Pressure insoles / pedobarography to
measure plantar pressure distribution.
• Electromyography (EMG) to measure
muscle activation patterns.
• Gait laboratories combine these tools for
clinical and research analysis.
Modeling & Simulation in Biomechanics
• Finite Element Analysis (FEA) for stress/strain in
bones, joints, and implants.
• Multibody dynamics for motion of linked segments in
gait and sports.
• Computational Fluid Dynamics (CFD) for blood flow
and heart valves.
• Simulations allow testing of virtual designs before
making physical prototypes.
Prosthetic Limbs: Mechanics Meets
Medicine
• Biomechanics: compare normal vs.
prosthetic gait (step length, symmetry, joint
loads).
• Biomechanics: evaluate socket pressure
distribution and alignment.
• Bioengineering: choose materials (carbon
fiber, titanium), suspension systems, shock
absorbers.
• Bioengineering: integrate sensors and
microprocessor control in knees and feet.
• Clinical aim: lower energy cost of walking
and improve comfort and safety.
Hip & Knee Replacements:
Load and Longevity
• Joint reaction forces can reach several
times body weight during walking.
• Biomechanics: analyze load transfer
through implant and surrounding bone.
• Biomechanics: study stress shielding and
risk of bone resorption.
• Bioengineering: use biocompatible
materials (Ti alloys, Co–Cr, UHMWPE).
• Bioengineering: apply surface coatings for
better osseointegration and reduced wear.
• Goal: longer-lasting implants and
improved patient mobility.
Blood Flow, Valves, and Stents
• Hemodynamics: pressure, flow rate, and wall shear
stress in arteries.
• Biomechanical issues: deformation and fatigue of
heart valves and stents.
• Biomechanical issues: risk of aneurysm growth or
plaque rupture.
• Bioengineering: design stents (geometry, materials
such as Nitinol) and mechanical vs bioprosthetic
valves.
• CFD-assisted design helps achieve optimal flow and
reduce complications.
Sports Biomechanics and Equipment Design
• Analyze sports technique to enhance performance and
reduce injury risk.
• Measure joint angles, forces, and muscle activity
during key sports movements.
• Bioengineering: design running shoes, helmets,
racquets, and protective gear using biomechanical
data.
• Example: optimizing running shoe cushioning and
stiffness to reduce tibial shock and knee loading.
Case Study: From Simulation
to Powered Prosthesis
• Problem: transtibial amputees often have higher
energy cost and joint overloading.
• Biomechanical analysis uses gait data and simulations
to determine required ankle plantarflexion torque and
timing.
• Biomechanical goal: minimize socket pressure and gait
asymmetry.
• Bioengineering design: actuator and transmission
(motor, springs, cables) with sensors for angle and
load.
• Control algorithms provide powered push-off for more
natural ankle motion.
• Result: improved walking speed and comfort compared
with passive prostheses.
Rehabilitation Robotics & Assistive Devices
• Biomechanics is used to characterize
pathological gait (stroke, Parkinson’s
disease, cerebral palsy).
• Bioengineering: design robot-assisted
gait trainers, exoskeletons, and smart
walkers.
• Sensors monitor balance, muscle
activity, and risk of falls.
• Goal: restore independent walking,
reduce fall risk, and personalize
therapy for each patient.
Wearables, Smart Insoles,
and Everyday Gait Data
• Motion capture labs are accurate but expensive
and limited to controlled environments.
• Wearable sensors (IMUs, EMG, pressure
insoles) extend biomechanics into daily life.
• Real-life example: smart insoles with multiple
pressure sensors and machine learning to
classify motion and detect early health
problems.
• Bioengineering challenges: accurate sensing,
low power consumption, wireless
communication, and user comfort.
AI + Biomechanics =
Smarter Bioengineering
• Large datasets from gait labs and
wearables enable data-driven analysis.
• Machine learning is used for gait
classification and detection of
pathologies.
• AI helps with sports performance
analysis and coaching based on
biomechanical data.
• AI-based controllers can adapt
prostheses and exoskeletons in real time.
• Explainable AI is important to make
clinical decisions transparent and
trustworthy.
Ethics, Access, and Safety
• Accessibility and cost of advanced prostheses, implants, and
exoskeletons are major concerns.
• Medical devices must satisfy strict regulatory approval and safety
testing.
• Long-term monitoring of device performance and failures is
needed.
• Data privacy is crucial for gait and movement data from wearables.
• Fairness in sports: performance-enhancing prostheses and
equipment raise ethical questions.

Biomechanical engineering and its applications.pptx

  • 1.
    LECTURE 7 –FALL2025 Biomechanical engineering Assoc. Prof. Dr. Jasmin Šutković Date: 27.11.2025 Course: Introduction to Bioengineering
  • 2.
    Bioengineering: The BigUmbrella • Bioengineering applies engineering principles to biological systems and living organisms. • Includes: medical devices and imaging, biomaterials, tissue engineering, systems/synthetic biology. • Biomechanics is one subfield within bioengineering. • Overall goal: improve health, the environment, and our understanding of biology.
  • 3.
  • 4.
    Biomechanical Engineering /Biomechanics • Biomechanical engineering combines mechanics, biology, and engineering to study and design for living systems. • Often treated as a subfield of mechanical and biomedical engineering. • Focuses on: – motion of the body (gait, sports, posture), – mechanical behaviour of tissues (bone, cartilage, muscle), and – devices that interact with the body (prostheses, implants).
  • 5.
    How Biomechanics Fitsinto Bioengineering? • Bioengineering: broad – all biological systems (health, agriculture, environment). • Biomechanical engineering: subfield focusing on mechanics of tissues and movement within that medical/biological context. • These areas interact tightly in device design, rehabilitation, sports, and healthcare.
  • 6.
    From Molecules to theWhole Body • Molecular/cellular: cytoskeletal mechanics, cell stiffness, protein motors. • Tissue/organ: bone, cartilage, muscle, tendons, blood vessels. • Whole body: gait, balance, sports performance, ergonomics. • Bioengineering integrates information from all these scales for diagnosis and device design.
  • 7.
    Mechanical Engineering Concepts inLiving Systems • Statics & dynamics: joint forces and moments in standing, walking, and lifting. • Solid mechanics: stress, strain, and Young’s modulus of bone, tendon, and cartilage. • Fatigue & failure: fractures, implant loosening, tendon and ligament tears. • Fluid mechanics: blood flow in vessels and airflow in the lungs. • Control: neuromuscular control of posture and movement.
  • 8.
    How We Measure HumanMovement • 3D motion capture (cameras + markers) to obtain positions, velocities, and joint angles. • Force plates to measure ground reaction forces and moments. • Pressure insoles / pedobarography to measure plantar pressure distribution. • Electromyography (EMG) to measure muscle activation patterns. • Gait laboratories combine these tools for clinical and research analysis.
  • 9.
    Modeling & Simulationin Biomechanics • Finite Element Analysis (FEA) for stress/strain in bones, joints, and implants. • Multibody dynamics for motion of linked segments in gait and sports. • Computational Fluid Dynamics (CFD) for blood flow and heart valves. • Simulations allow testing of virtual designs before making physical prototypes.
  • 10.
    Prosthetic Limbs: MechanicsMeets Medicine • Biomechanics: compare normal vs. prosthetic gait (step length, symmetry, joint loads). • Biomechanics: evaluate socket pressure distribution and alignment. • Bioengineering: choose materials (carbon fiber, titanium), suspension systems, shock absorbers. • Bioengineering: integrate sensors and microprocessor control in knees and feet. • Clinical aim: lower energy cost of walking and improve comfort and safety.
  • 11.
    Hip & KneeReplacements: Load and Longevity • Joint reaction forces can reach several times body weight during walking. • Biomechanics: analyze load transfer through implant and surrounding bone. • Biomechanics: study stress shielding and risk of bone resorption. • Bioengineering: use biocompatible materials (Ti alloys, Co–Cr, UHMWPE). • Bioengineering: apply surface coatings for better osseointegration and reduced wear. • Goal: longer-lasting implants and improved patient mobility.
  • 12.
    Blood Flow, Valves,and Stents • Hemodynamics: pressure, flow rate, and wall shear stress in arteries. • Biomechanical issues: deformation and fatigue of heart valves and stents. • Biomechanical issues: risk of aneurysm growth or plaque rupture. • Bioengineering: design stents (geometry, materials such as Nitinol) and mechanical vs bioprosthetic valves. • CFD-assisted design helps achieve optimal flow and reduce complications.
  • 13.
    Sports Biomechanics andEquipment Design • Analyze sports technique to enhance performance and reduce injury risk. • Measure joint angles, forces, and muscle activity during key sports movements. • Bioengineering: design running shoes, helmets, racquets, and protective gear using biomechanical data. • Example: optimizing running shoe cushioning and stiffness to reduce tibial shock and knee loading.
  • 14.
    Case Study: FromSimulation to Powered Prosthesis • Problem: transtibial amputees often have higher energy cost and joint overloading. • Biomechanical analysis uses gait data and simulations to determine required ankle plantarflexion torque and timing. • Biomechanical goal: minimize socket pressure and gait asymmetry. • Bioengineering design: actuator and transmission (motor, springs, cables) with sensors for angle and load. • Control algorithms provide powered push-off for more natural ankle motion. • Result: improved walking speed and comfort compared with passive prostheses.
  • 15.
    Rehabilitation Robotics &Assistive Devices • Biomechanics is used to characterize pathological gait (stroke, Parkinson’s disease, cerebral palsy). • Bioengineering: design robot-assisted gait trainers, exoskeletons, and smart walkers. • Sensors monitor balance, muscle activity, and risk of falls. • Goal: restore independent walking, reduce fall risk, and personalize therapy for each patient.
  • 16.
    Wearables, Smart Insoles, andEveryday Gait Data • Motion capture labs are accurate but expensive and limited to controlled environments. • Wearable sensors (IMUs, EMG, pressure insoles) extend biomechanics into daily life. • Real-life example: smart insoles with multiple pressure sensors and machine learning to classify motion and detect early health problems. • Bioengineering challenges: accurate sensing, low power consumption, wireless communication, and user comfort.
  • 17.
    AI + Biomechanics= Smarter Bioengineering • Large datasets from gait labs and wearables enable data-driven analysis. • Machine learning is used for gait classification and detection of pathologies. • AI helps with sports performance analysis and coaching based on biomechanical data. • AI-based controllers can adapt prostheses and exoskeletons in real time. • Explainable AI is important to make clinical decisions transparent and trustworthy.
  • 18.
    Ethics, Access, andSafety • Accessibility and cost of advanced prostheses, implants, and exoskeletons are major concerns. • Medical devices must satisfy strict regulatory approval and safety testing. • Long-term monitoring of device performance and failures is needed. • Data privacy is crucial for gait and movement data from wearables. • Fairness in sports: performance-enhancing prostheses and equipment raise ethical questions.

Editor's Notes

  • #2 Suggested figure: Pie chart: Biomechanics, Biomaterials, Medical Imaging, Systems Biology, etc.
  • #3 Human body mechanics. Biomechanics is the study of the structure and function of biological systems, using the methods of mechanics
  • #7 : Free-body diagram of a leg during walking with joint reaction forces and moments.
  • #8 Diagram of a gait lab: subject with markers walking over force plates, with EMG electrodes on muscles.
  • #9 von Mises stress distribution in cortical bone at load
  • #10 Development of a Powered Four-Bar Prosthetic Hip
  • #11 Cross-section of a hip implant with arrows showing the load path through implant and bone.
  • #12 Schematic artery with CFD-style velocity profile, then the same artery with a stent in place.
  • #13 Suggested figure: Sprinter on a force plate with motion capture markers and arrows indicating ground reaction forces.
  • #14 Biomechanical model → Optimization → Prototype powered ankle–foot device.
  • #15 Person with a lower-limb exoskeleton walking on a treadmill with body-weight support harness.
  • #16 Schematic of a shoe with embedded pressure and motion sensors sending data to a smartphone.
  • #17 Sensors → AI model → Diagnosis / Control signals → Device.