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About this course
- Class Overview
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Syllabus & Downloads
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Introduction 4 min
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Theory Part 18 min
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Hardware used in the LABs 4 min
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Intro to SENS4 Lab 10 min
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LAB1: Building a Myoelectric Front-End Using an Instrumentation Amplifier and the MCU ADC 57 min
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LAB2: Measuring Performance of a Myoelectric Front-End Using an Instrumentation Amplifier and the MCU ADC 5 min
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LAB3: Building a Myoelectric Front-End Using a Delta-Sigma ADC and an MCU
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LAB4: Measuring Performance of a Myoelectric Front-End Using a Delta-Sigma ADC and Comparing it to the Results from Lab 2 7 min
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LAB5: Measuring Bio-Signals Using an Atom Limbs Myopuck 14 min
- Complete Recording
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25080 SENS4: (140 min)
- Feedback and Discussion
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Get in contact with the presentation team
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25080 SENS4: Cyborg Lab 101: Signal Acquisition for Biomedical Prosthetic Devices (August 2025)
In this class you will learn the sensing requirements and applications for myoelectric/EMG signals, design and compare analog and digital signal chain topologies, implement a signal chain measurement, and use it for machine learning-based signal classification in biomechanical prosthetic devices.
In this class, you will describe sensing requirements for myoelectric/EMG signals and their applications. You will design and compare different (more analog vs more digital) signal chain topologies for the myoelectric sensor signals. Additionally, you will implement the measurement of one of the signal chains and use it for ML-based signal classification with applications in biomechanical prosthetic devices.
Prerequisites:
Basic understanding of sensor signal acquisition and processing