Delsys

As we wrap up 2025, we’d like to say thank you to our global Delsys community for your support, collaboration, and engagement over the past 12 months.   Looking ahead to 2026, we’re excited about what's to come — from new product launches to community engagement, and even more ways to turn EMG into innovative insights for human movement 🚶♀️➡️   Thank you for being part of the journey. We can’t wait to shape the future of human sensing together. 🎉

💡 #EMG can provide a wealth of insights into an individuals' performance, but in order to draw amplitude-based comparisons between people, muscles, or across sessions, data needs to be #normalized. ⚡ A common measure of normalization is an #MVC, which transforms the unique electrical amplitude of an individual into an easily quantifiable metric, being the percentage of maximal activation. 💪 With #TrignoDiscover's #MVC calibration tool, #EMG signals can be calibrated through a customizable calibration process to easily display data as a percentage of #MVC for biofeedback and normalization purposes! 👩💻 Get started with our #MVC tool by checking out our tutorial in the comments!

🎉 Celebrating the Delsys Engineering Paper of November 🎉 Perceived fatigue progression tracking during manual handling tasks using sEMG recordings Armin Bonakdar, M.Sc., E.I.T., Catherine Disselhorst-Klug, Karla Beltrán Martínez, Ali Golabchi, Mahdi Tavakoli, Hossein Rouhani At Delsys we take real pride in seeing the innovative research powered by our technology. This month we are highlighting the Delsys #Engineering Paper of the Month for November, which offers new insight into how #fatigue develops during real functional tasks. This study compared self-reported fatigue with physiological indicators, consisting of both linear and complexity based techniques. Complexity-based EMG features, with Dimitrov’s index at the forefront, were found to offer stronger fatigue tracking than traditional linear metrics. 💡 For classification, the team evaluated both LSTM and CNN LSTM architectures. The LSTM model captured how fatigue patterns evolve over time, but the CNN LSTM model added an important layer by learning spatial relationships across EMG channels before modeling the temporal sequence. This produced cleaner feature representations and lifted performance to 69 percent accuracy, showing the value of combining spatial and temporal insights when predicting fatigue. 🤖📈 These findings highlight how advanced EMG features collected with Delsys sensors can support more accurate, real-time fatigue monitoring and guide data-driven strategies for safer, healthier workplaces. 💪 Check out the full paper by following the link: https://lnkd.in/eVZ645cv

The University of Exeter has launched a new study inviting stroke survivors to try game-based rehabilitation, turning those repetitive rehab exercises into something far more engaging. Instead of running through the same movements again and again, participants use games like virtual basketball or flower-picking to keep rehabilitation fun and motivating. 🏀 😍 By measuring muscle activity in real time, #EMG gives people a clearer sense of what their muscles are doing during each task. That kind of feedback can help guide movement, show progress, and make the game respond to how someone is engaging in the task. 💪 ⚡ Blending game-based rehab with EMG has the potential to make recovery more personal, more enjoyable, and more effective, both at home and in the clinic. 📽️ Read the following article to learn more and watch the video to see the firsthand experiences of EMG gamified stroke rehabilitation: https://lnkd.in/dQFM9juR https://lnkd.in/evhrCpCs

📂 Organize your projects efficiently with Trigno Discover 2.0's Database Management features! 👩💻 In Discover 2.0, you can quickly sort your data through the tag function to search for specific projects, subjects or sensor configurations. 🌐 Additionally, you can create and swap between database structures to determine what data is available at a given time! 💡 See how quickly you can access specific files through our database management tutorial: https://lnkd.in/eyXrsZDP

The updated Vicon Nexus integration is now available. Find the link for the installer in the comments. This update brings a more intuitive and predictable sensor ordering workflow to Nexus 2.16+. When assigning sensor numbers, they now appear in clear numerical order, streamlining setup and making multi-sensor configurations easier to manage. With support for a wide range of Trigno sensors, the integration continues to provide a smooth connection between Delsys EMG systems and Vicon motion capture. Download the latest plug-in to effortlessly combine. You can find the link in the comments.

🖼️ A picture is worth 1000 words! 🎨     👀 #TrignoDiscover 2.0's Bar Chart display can help researchers communicate with participants quickly and effectively!    🏋♂️ Immediate visual feedback provides individuals with clear, real-time muscle activity data to help adjust their actions for better control and awareness.    🏅Simplified visuals enable the easy monitoring of muscle performance over time, allowing for objective assessment and goal setting.    📈 Inefficient and harmful muscle patterns can be corrected in real-time, reinforcing progress and motivating users to continue improving in their training and rehabilitation options! To view the full tutorial video on how you can use Biofeedback within your work, visit our YouTube channel: https://lnkd.in/eWvfArnN

FOREARM POSITION MATTERS IN SHOULDER REHAB! For this week's focus on the shoulder, we'll start with a publication by our team at The Center for Human Performance at Houston Methodist recently published research in the International Journal of Sports Physical Therapy exploring how forearm positioning influences muscle activation during eccentric shoulder exercises. 🔍 WHAT WE FOUND: Eccentric exercises are a cornerstone for shoulder rehabilitation, especially for rotator cuff health. Using EMG analysis, we discovered that forearm position (neutral, pronated, supinated) significantly changes recruitment patterns for key muscles like the infraspinatus, teres minor, and deltoids. For example, supination during side-lying eccentric horizontal abduction maximized rotator cuff activation, while pronation in other exercises favored deltoid engagement. 🤷 WHY IT MATTERS: These findings give clinicians actionable insights to fine-tune exercise prescriptions by helping to isolate the rotator cuff when needed or balance shoulder girdle activation for overall function. Small adjustments in technique can lead to big improvements in outcomes. 💡 TAKE AWAY: Exercise selection and forearm positioning aren’t minor details. Rather, they’re critical for optimizing shoulder rehab and performance. 👉 Read the full study: "Forearm Position Matters During Eccentric Shoulder Exercises: An EMG Recruitment Study with Implications for Rehabilitation" by Corbin Hedt, Bradley Lambert, PhD, Patrick Mcculloch and colleagues. PMID: 33344028 #ShoulderRehab #PhysicalTherapy #SportsMedicine #OrthopedicRehab #RehabScience #EMGAnalysis #EccentricTraining #RotatorCuff #EvidenceBasedPractice #ClinicalResearch #HumanPerformance #StrengthTraining #MovementScience #ShoulderHealth #InjuryPrevention #PhysioLife #PTCommunity #SportsPhysio #RehabProfessionals #HealthcareInnovation Delsys International Journal of Sports Physical Therapy

🌎 Around the globe, students, mentors, researchers, and clinicians have come together to uplift each other and grow the field of #biomechanics as a whole! 🦃 We're grateful for all of the opportunities to #support and #highlight a dedicated #community of scientists with the shared goal of understanding human #movement in #2025! 😊 Thank you to everyone who got involved and grew applications of #EMG across the world!