activity
20202026
most citedA Human-Centered Machine-Learning Approach for Muscle-Tendon Junction Tracking in Ultrasound Images

11 citations · 21 across the 13 of their papers we have counts for

collaborators

15 papers

eess.SY2026

Towards an Earpiece for Wearable and Dry Ultrasonic Vagus Nerve Stimulation

Sebastian Frey, Farouk Ghezraoui, Marc Nölke +3

Ultrasound (US)-based auricular vagus nerve stimulation (aVNS) is emerging as a versatile, noninvasive modality for neuromodulation - spanning clinical therapies (e.g., pain manage…

cs.AR2026

U-Sonic: An Open-Source 8-Channel Ultrasound Transmit IP in a 130 nm RISC-V SoC

Federico Villani, Nico Canzani, Marc-André Wessner +5

Miniaturized ultrasound (US) probes require programmable and synchronized transmit (TX) excitation across multiple elements, while existing compact platforms often rely on limited…

cs.CV2026

MuyBridge: Mobile Human Center-of-Mass Estimation from Monocular Video via Sparse Fusion

Aidan Bradshaw, Marco Giordano, David Rode +8

The 3D center of mass (CoM) is a primary quantity in the biomechanical analysis of sport, rehabilitation, and clinical movement, yet existing 3D pose tracking, mesh recovery, and m…

eess.SP2026

Multi-Sensor Edge Angle Detection for Performance Analysis in Ski Jumping

Ivan Simeonov, Lukas Schulthess, Hanna Mueller +4

In ski jumping, performance during the gliding phase depends on achieving an aerodynamic posture that maximizes the lift-to-drag ratio. In the V-style technique, the ski edge angle…

eess.SP2026

A Time-Synchronized Video Reference System for Data Analysis of Body-Attached Sensor Nodes in Outdoor Scenarios

Lukas Schulthess, Fabian Pleisch, Matheo Käch +4

Wearable body-attached multi-sensor systems enable detailed analysis of human motion and physiological signals in sports, rehabilitation, and movement research. While wireless sync…

eess.SY2025

Wireless Low-Latency Synchronization for Body-Worn Multi-Node Systems in Sports

Nico Krull, Lukas Schulthess, Michele Magno +2

Biomechanical data acquisition in sports demands sub-millisecond synchronization across distributed body-worn sensor nodes. This study evaluates and characterizes the Enhanced Shoc…

eess.SY2024

PEtra: A Flexible and Open-Source PE Loop Tracer for Polymer Thin-Film Transducers

Marc-Andre Wessner, Federico Villani, Sofia Papa +5

Accurate characterization of ferroelectric properties in polymer piezoelectrics is critical for optimizing the performance of flexible and wearable ultrasound transducers, such as…

eess.SP2024

PuLsE: Accurate and Robust Ultrasound-based Continuous Heart-Rate Monitoring on a Wrist-Worn IoT Device

Marco Giordano, Christoph Leitner, Christian Vogt +2

This work explores the feasibility of employing ultrasound (US) US technology in a wrist-worn IoT device for low-power, high-fidelity heart-rate (HR) extraction. US offers deep tis…

physics.med-ph2023

Towards a Novel Ultrasound System Based on Low-Frequency Feature Extraction From a Fully-Printed Flexible Transducer

Marco Giordano, Kirill Keller, Francesco Greco +3

Ultrasound is a key technology in healthcare, and it is being explored for non-invasive, wearable, continuous monitoring of vital signs. However, its widespread adoption in this sc…

eess.SP2023

Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping

Lukas Schulthess, Thorir Mar Ingolfsson, Marc Nölke +3

In ski jumping, low repetition rates of jumps limit the effectiveness of training. Thus, increasing learning rate within every single jump is key to success. A critical element of…

eess.SY2023

A Wearable Ultra-Low-Power sEMG-Triggered Ultrasound System for Long-Term Muscle Activity Monitoring

Sebastian Frey, Victor Kartsch, Christoph Leitner +4

Surface electromyography (sEMG) is a well-established approach to monitor muscular activity on wearable and resource-constrained devices. However, when measuring deeper muscles, it…

cs.RO2023★ 2 cited

Enabling Failure Recovery for On-The-Move Mobile Manipulation

Ben Burgess-Limerick, Chris Lehnert Jurgen Leitner, Peter Corke

We present a robot base placement and control method that enables a mobile manipulator to gracefully recover from manipulation failures while performing tasks on-the-move. A mobile…

cs.CV2022★ 11 cited

A Human-Centered Machine-Learning Approach for Muscle-Tendon Junction Tracking in Ultrasound Images

Christoph Leitner, Robert Jarolim, Bernhard Englmair +9

Biomechanical and clinical gait research observes muscles and tendons in limbs to study their functions and behaviour. Therefore, movements of distinct anatomical landmarks, such a…

q-bio.QM2020★ 7 cited

Automatic Tracking of the Muscle Tendon Junction in Healthy and Impaired Subjects using Deep Learning

Christoph Leitner, Robert Jarolim, Andreas Konrad +4

Recording muscle tendon junction displacements during movement, allows separate investigation of the muscle and tendon behaviour, respectively. In order to provide a fully-automati…

q-bio.QM2020★ 1 cited

Ultrasound in Locomotion Research -- The Quest for Wider Views

Christoph Leitner, Christian Baumgartner, Christian Peham +1

In a systematic review, we investigate current applications of ultrasound in locomotion research. Shortcomings in the range of view of ultrasound systems affect the direct validati…