INTELLECTUAL PROPERTY
Patents Intellectual Property
INTELLECTUAL PROPERTY
SANTÉ Healthcare's Core Competencies
Protected by Technology
The entire process, from sensor-based measurement technology to signal processing and AI analysis algorithms, is protected by patented technology.
Measurement and Analysis Technologies
Must Be Protected
SANTÉ Healthcare precisely measures physical functions,
and is continuously pursuing the acquisition of intellectual property rights,
centered on core technologies that analyze and utilize this data.
Proprietary Technology Structure
Sensor-based measurement methods and data processing logic are based on SANTÉ Healthcare's self-designed technology structure.
Intellectual Property-Based Protection
Core technologies protect technological reliability and sustainability through the acquisition of patents and intellectual property rights.
SANTÉ Healthcare
Solution Application Sites
Utilizes physical function data tailored to medical, care, rehabilitation, and research environments.
INTELLECTUAL PROPERTY TECHNOLOGY
Proving Reliability
with Measurement and Analysis Technology
SANTÉ Healthcare is building continuous patent assets and technological competitiveness, focusing on core technologies that precisely measure physical functions and analyze/utilize the data.
0Cases
Registered Patents
0Cases
Applications in Progress
0Fields
Core Technology Areas
0Solutions
Applied Services
01
Sensor Technology for Accurate
Physical Data Collection
Precisely measures physical signals such as gait, balance, and muscle activity
with EMG/IMU-based multimodal sensing.
02
Converting Physical Signals
into Diagnosable Values
Through wavelet transform and complex indicator analysis, medical professionals’ judgments are standardized into quantitative data.
03
Functional Assessment System
Immediately Utilized in the Field
Through SPPB Plus and TUG analysis,
physical function and fall risk are automatically scored.
Medical Public
Field Implementation
Utilized in actual medical and care settings,
such as hospitals, rehabilitation centers, and day care facilities.
· Hospitals
· Rehabilitation Medicine Departments
· Elderly Community Care Institutions
Continuously
Accumulating Data
Individual test results are managed as data assets
that can be long-term tracked.
· History Management
· Change Tracking
· Individual Group Analysis
Platform-Based
Scalable Architecture
system integration.
· Algorithm Addition
· Solution Integration
· Institution-specific Customization
PROCESS
Process of Protecting Measurement and Analysis Technologies
Structured to present only the essentials clearly and be understood at a glance.
Data Collection
Wearable Sensor-Based Physical Function Data Measurement
EMG / IMU · Protocol-Based Measurement
From measurement methods, signal processing, to AI algorithms,
securing reliability and scalability based on intellectual property.
Field Application
Utilized in real environments for diagnosis, evaluation, and tracking
Hospitals / Rehabilitation / Care · Platform Expansion
INTELLECTUAL PROPERTY
Patent List
The status of registrations/applications and core contents have been organized for quick review.
- Wavelet Transform Analysis : Simultaneous time-frequency analysis by applying Morlet mother wavelet
- 3 Key Features : Calculation of RMS / Mean Scale / Correlation Coefficient
- Automatic Differentiation : Immediate determination through automatic comparison with normal reference range
- Multi-Sensor Fusion : Wireless integration of EMG (shin) + IMU (ankle)
- 3-Stage Diagnosis : Clear distinction between Stable / Unstable / Fail
- Data Objectification : Provides quantitative data based on standard deviation and angular velocity thresholds
- Non-Invasive Measurement : Safe and easy detection with active electrodes
- Complex Analysis : Comprehensive calculation of RMS / %MVIC / MF
- Accuracy Improvement : Distinguishes normal/patient by calculating 'combined values'
- Composite Indicators : Measurement of RMS_MVIC / %MVIC / MDF changes
- Combined Value (CF) : Combines 3 key data points with a formula
- Automatic Discrimination : Automatically outputs normal/disorder by comparing with reference values
- Speed Dependence : Reflects spasticity characteristics by comparing slow/fast data
- Multimodal : Simultaneous measurement of IMU angle/angular velocity + EMG stretch reflex
- MAS Automation : Provides objective values with a weighting algorithm
- Automatic Segment Division : Automatically distinguishes 6 stages of time from reaction to sitting
- Scoring Model : Estimates scores without SPPB performance using linear regression
- Visualization : Graphically represents position within the population based on PCA