A note of gratitude to our clients & colleagues
from Delsys CEO, Devi De Luca
H+ Trigno Hand Performance Monitor
First Ever Hybrid Technology For Real-time Monitoring of Muscle Forces, Muscle Fatigue, Grip Stability and Grip Strength
Delsys Family of Products
Complete Solutions for Human Movement
Delsys EMG biofeedback systems have made homes in research and clinical institutions across the globe because they are reliable, easy to use, and provide maximum value for human movement recordings. From traditional desktop EMG biofeedback devices to advanced wireless EMG+IMU and grid systems, the Delsys product family uses research-based proprietary technology, ensuring accurate, high-quality results every single time.
The first technology to reveal the signals that drive human movement
Neuromuscular networks convey signals between the brain & muscles to enable human movement. These signals are rich with information but challenging to monitor, and have remained hidden from view until now.
Trigno Avanti Platform
A trusted brand for reliable EMG & Neural Firings recording for research, medical, educational and OEM applications
With built-in Wi-Fi and Bluetooth capabilities, this dual-purpose system enables you to record EMG + movement data from anywhere and at any time. Leveraging these abilities makes the system the optimal indoor/outdoor tool for both advanced research and mobile clinical conditions.
Mobile EMG Suite
Monitor Muscle Performance and Recovery. Anytime. Anywhere.
Ensure high-quality recordings using the real-time signal quality check with EMG Plots. Take your sensor recordings on-the-go with your mobile phone using EMG Logger.
News & Events
We're excited to see Ms. Srinivasan use the #NeuroMap and #LabChart tools for her innovative work, and to continue pushing the boundaries of #EMG! @ADInstruments @medialab @MIT @Harvard #DelsysPrize #HMI #Innovation #STEM #Robotics https://t.co/rRQEK42QMm
Congratulations again to Ms. Shriya Srinivasan on winning the 2019 #DelsysPrize! Ms. Srinivasan received the award for utilizing an “Agonist-antagonist Myoneural Interface” to improve myoelectric control of prostheses. Read more about the project here: https://t.co/CkXUCsswTh https://t.co/GEThvzi60S
Congrats to Delsys Research Engineer Michael Twardowski ( @Doc__Ski) for successfully defending his PhD proposal @WPI on Motor unit-based neural interfaces! Thanks to @WPI_Robotics advisor Dr. Zhi Li and Committee members Drs. Karen Troy and Michael Gennert for dedicated mentoring https://t.co/QAMlo6R1EG