RESEARCH & DEVELOPMENT
Clinically Proven Rehabilitation Technology
RS REHAB develops medical rehabilitation technologies based on over 20 years of clinical research in dysphagia and rehabilitation medicine, originating from Seoul National University Hospital.
4-Channel Sequential Neuromuscular Electrical Stimulation
Conventional dysphagia electrical stimulation systems activate multiple muscles simultaneously, which differs from the physiological swallowing pattern.
RS STIM is designed based on the sequential activation algorithm of swallowing-related muscles, where four independent channels deliver stimulation with precisely controlled time delays.
4-channel sequential stimulation
Mimics the physiological swallowing pattern
Facilitates functional recovery of hyoid and pharyngeal movement
Peer-Reviewed Scientific Evidence
The clinical efficacy and technological superiority of RS STIM have been validated through multiple randomized controlled trials published in internationally recognized SCI(E)-indexed journals.
Kinematic mechanism of the rehabilitative effect of 4-channel NME
- •Post-hoc kinematic analysis based on randomized clinical trial data
- •Demonstrated improvement in hyoid displacement and pharyngeal movement
- •Clarified the rehabilitative mechanism of 4-channel electrical stimulation
Clinical effectiveness of the sequential 4-channel NMES
- •Randomized, double-blind controlled trial
- •Comparison between 4-channel sequential NMES and conventional 2-channel NMES
- •The 4-channel sequential NMES demonstrated significantly superior improvement in swallowing function compared to conventional therapy
Compensatory Effects of Sequential 4-Channel NMES
- •Prospective randomized clinical trial
- •Included patients with acute, subacute, and chronic dysphagia
- •Demonstrated compensatory kinematic effects and functional improvement across all stages of dysphagia
Normal contractile algorithm of swallowing muscles
- •Physiological study using needle electromyography (EMG)
- •Revealed that swallowing-related muscles are activated in a sequential algorithm rather than simultaneous contraction
- •Provides the mechanistic foundation for 4-channel sequential stimulation
Prediction of laryngeal aspiration using voice analysis
- •Demonstrated the feasibility of predicting aspiration risk using voice analysis
- •Serves as the scientific foundation for RS DETECTION: AI-based aspiration risk assessment