The Science Behind
PREMS Technology
PREMS combines surface electromyography, edge AI inference, and proportional electrical muscle stimulation into a single closed-loop platform — delivering adaptive, intent-driven rehabilitation therapy at home and in the clinic.
Four Technology Pillars
Each pillar is independently validated and collectively integrated into a single wearable platform that adapts to every patient, every session.
AI-Driven Adaptive Control
On-device machine learning continuously interprets surface EMG signals to distinguish voluntary muscle intent from noise, fatigue, and spasticity. The algorithm self-tunes stimulation parameters in real time — no clinician adjustment required between sessions.
Closed-Loop sEMG Feedback
Surface electromyography (sEMG) sensors embedded in each sleeve continuously sample muscle activation. The closed-loop controller compares detected intent against target movement patterns and modulates EMS output proportionally — mirroring the neuromuscular feedback the nervous system uses naturally.
Proportional EMS Stimulation
Electrical muscle stimulation (EMS) is delivered at calibrated motor points for efficient, comfortable recruitment at the lowest effective current. Stimulation intensity scales proportionally with the patient's own effort — reinforcing voluntary movement rather than replacing it.
Cloud Telemetry & Remote Oversight
Every session is securely streamed to the PREMS cloud platform. Clinicians access real-time dashboards showing stimulation parameters, sEMG waveforms, session adherence, and recovery trajectory — enabling remote protocol adjustments without requiring in-clinic visits.
How the Platform Works
Six integrated layers — from skin-contact sensing to cloud analytics — form the complete PREMS closed-loop system.
Sensing Layer
Multi-channel sEMG electrodes woven into the sleeve fabric capture muscle activation signals across the target muscle group with minimal motion artifact.
Edge AI Processor
An ultra-low-latency on-device inference engine classifies muscle intent, filters noise, and computes stimulation parameters locally — no cloud round-trip required for real-time control.
Stimulation Layer
Motor-point EMS electrodes deliver precisely timed, proportionally scaled electrical pulses to the target muscles, producing functional contraction in sync with the patient's voluntary effort.
Secure Wireless Link
Encrypted Bluetooth LE transmits session data to the companion app and PREMS cloud platform, enabling clinician oversight and longitudinal outcome tracking.
Cloud Analytics Platform
HIPAA-aligned cloud infrastructure aggregates session telemetry, generates progress reports, and surfaces actionable insights for clinical teams managing patient cohorts remotely.
Adaptive Algorithm
A continuously learning control model updates stimulation profiles based on session-over-session sEMG trends, fatigue patterns, and recovery milestones — personalizing therapy automatically.
FDA 510(k) Predicate
Advantage
PREMS is built on a proportional neuromuscular stimulation predicate cleared by the FDA in 1988. This established foundation de-risks the regulatory pathway and accelerates the timeline to commercialization — a critical advantage for investors and clinical partners.
View Investor OverviewBuilt on the 1988 FDA 510(k) predicate for proportional neuromuscular stimulation
Modernization pathway — not a novel device requiring de novo clearance
Established safety and efficacy foundation for the core stimulation mechanism
AI and cloud layers added as software enhancements to a cleared predicate
Accelerated regulatory timeline compared to Class III device pathways
Why PREMS is Different
Existing neuromuscular stimulation devices are static, clinic-bound, and clinician-dependent. PREMS changes every one of those constraints.
Adaptive vs. Preset
Competing devices use static, pre-programmed stimulation patterns. PREMS continuously adapts to the patient's real-time muscle state.
Intent-Driven vs. Passive
Stimulation is triggered and scaled by the patient's own voluntary effort — reinforcing neuroplasticity rather than bypassing it.
Home-Ready vs. Clinic-Bound
Designed for safe, unsupervised home use with remote clinician oversight — extending therapy beyond clinic hours.
Multi-Limb Platform
A single AI platform drives three sleeve variants (arm, hand, lower leg) — reducing development cost and enabling cross-limb therapy protocols.
FDA Predicate Advantage
Leverages a cleared 1988 predicate, shortening the regulatory path and de-risking the commercialization timeline.
Clinician-in-the-Loop
Remote monitoring and protocol adjustment keep clinicians engaged without requiring in-person visits — improving outcomes and reimbursement potential.
Ready to Learn More?
Explore the full PREMS platform overview or see the Smart Sleeves in action.