Bioelectronic Medicine & Neurostimulation
Saluda Medical Evoke System
by Saluda Medical Pty Ltd
Closed-loop spinal cord stimulation that automatically adapts therapy in real time
Category
Bioelectronic Medicine & Neurostimulation
Founded
2013
Headquarters
Macquarie Park, New South Wales, Australia
Overview
Saluda Medical's Evoke System is the world's first and only closed-loop spinal cord stimulator that continuously measures the spinal cord's response to stimulation and automatically adjusts the therapy in real time. By recording evoked compound action potentials (ECAPs) directly from the spinal cord, the system ensures each patient receives precisely the right amount of stimulation at every moment, regardless of posture or movement. Chronic pain patients and the implanting neurosurgeons who treat them benefit from Evoke's ability to deliver consistent, personalized pain relief 24 hours a day. Clinical studies have demonstrated that patients using closed-loop SCS achieve superior pain relief compared to open-loop systems, with a significantly higher proportion of patients experiencing 50% or greater pain reduction and improved quality of life scores. Saluda Medical's core differentiator is its proprietary ECAP-sensing feedback loop, a technology that has been validated in large-scale randomized controlled trials and awarded FDA Breakthrough Device designation. Unlike conventional SCS systems that deliver fixed stimulation patterns, Evoke adapts to every breath, step, and postural change, providing therapy that feels consistent and natural throughout daily activities.
Key Features
Targeted Nerve Stimulation
Precise electrical stimulation of specific nerve targets to treat chronic conditions without drugs.
Closed-Loop Therapy
Real-time adjustment of stimulation parameters based on continuous physiological feedback.
Miniaturized Implantable Devices
Ultra-small implantable neurostimulators for precise modulation of specific neural circuits.
Non-Invasive Neurostimulation
Transcranial and peripheral neurostimulation options providing therapy without surgical implantation.
AI-Driven Personalization
Machine learning optimizes patient-specific stimulation patterns for improved outcomes.
Pros & Cons
Pros
- +AI-driven patient-specific stimulation patterns optimize treatment outcomes
- +Clinical evidence supports efficacy for chronic pain, depression, epilepsy, and inflammatory disorders
- +Reduced drug dependency through bioelectronic alternatives to chronic pharmaceutical treatments
- +Targeted nerve stimulation treats chronic conditions without pharmaceutical side effects
- +Closed-loop systems adjust stimulation parameters in real-time based on physiological feedback
- +Miniaturized implantable devices enable precise modulation of specific neural circuits
Cons
- −Device implantation requires specialized surgical expertise not widely available
- −Battery life limitations may necessitate replacement procedures for implantable devices
- −Mechanism of action not fully understood for many neurostimulation therapeutic applications
- −Long-term safety and efficacy data for novel neurostimulation approaches remains limited
- −Patient variability in nerve anatomy creates challenges for consistent treatment outcomes
Use Cases
Research Workflow Optimization
AI-powered optimization of research workflows to accelerate discovery timelines and improve reproducibility.
Data Analysis & Insights
Machine learning analysis of complex biological datasets to extract actionable insights and identify patterns.
Collaboration & Knowledge Management
Platform-enabled collaboration across distributed research teams with integrated data sharing and knowledge capture.