Apps
Android Apps
NeuroWeave: Cognitive Scan LMDTM (Android App)
NeuroWeave is a next-generation cognitive visualization app designed to simulate real-time neural signal patterns over a 10-second passive scan.
Using a dynamic signal model, NeuroWeave analyzes patterns of arousal, stability, and divergence to provide meaningful insights into your cognitive state.
The system generates a Cognitive Reflex Index (CRI), representing how aligned and responsive your mental state is during the scan.
Key Features:
• 10-second passive cognitive scan
• Real-time dynamic signal visualization
• Arousal, Stability, and Divergence metrics
• Cognitive Reflex Index (CRI) scoring
• Scientific and simplified interpretations
• Smooth, minimal, and immersive interface
Layveer HCI Monitor (Android App)
Layveer HCI Monitor is a specialized application designed for observing, analyzing, and understanding human–computer interaction patterns in real time.
It enables users to explore how individuals interact with digital interfaces through behavioral signals, interaction timing, and performance-related indicators in non-medical contexts.
The app focuses on interaction behavior, usage dynamics, and system engagement patterns, providing valuable insights for researchers, developers, analysts, and advanced users interested in performance observation and interaction analytics.
Download LMD App v1.0
General Laparoscopic Procedure
Purpose
* Real-time AI-assisted surgical monitoring
* Enhance situational awareness
*Reduce cognitive and technical errors
Core Functions
1. Live Camera Feed
*Captures laparoscopic view in real time
*Continuous visual input for AI analysis
2. Video Upload
* Allows post-op or training video review
* Enables retrospective AI evaluation
3. Frame Processing (Next Stage)
* Extracts frames from live/video stream
* Sends to backend AI system
4. AI Monitoring Panel
Displays:
* Risk Score (0–1 scale)
* Alerts / warnings
Procedural status
AI Interpretation Layer
The system evaluates:
* Instrument trajectory
* Tissue handling patterns
* Field clarity (smoke, bleeding)
* Movement stability / tremor
* Time spent in critical zones
Outputs
* Risk alerts (e.g., unsafe traction
* Risk score (dynamic)
* Context-aware feedback
* Future: visual overlays (zones, warnings)
Clinical Value
* Reduces human error
* Supports decision-making under stress
Useful in:
* Training
* Complex procedures
* Fatigue scenarios
Download LMD App v2.0
Objective
Assist surgeon in achieving Critical View of Safety (CVS) and avoiding bile duct injury
Key AI Monitoring Targets
1. Calot’s Triangle Dissection
* Detect unsafe dissection planes
* Identify unclear anatomy
Alert:
Unsafe dissection zone
2. Critical View of Safety (CVS)
AI checks:
* Only 2 structures entering gallbladder
* Lower GB separated from liver bed
* Hepatocystic triangle cleared
Output:
✔ CVS Achieved
or
⚠ CVS Incomplete
3. Instrument-Tissue Interaction
Monitor:
* Excess traction
*Incorrect angle of dissection
* Blind clipping
Alerts:
Excessive traction
Blind clipping risk
4. Bleeding / Field Distortion
Detect:
* Sudden visual noise
* Obscured anatomy
Alert:
Visual field compromised
5. Clip Placement Validation (Future)
* Ensure clips placed on:
*Cystic duct
*Cystic artery
Prevent:
CBD misidentification
Risk Score Logic (Concept)
Based on:
* Stability of dissection
* Clarity of anatomy
* Instrument behavior
* Time in unsafe zone
ERIF / Reflexive Layer
Detects hesitation / cognitive overload
* Identifies pattern deviation
* Suggests corrective awareness
Clinical Impact
* Prevents bile duct injury
* Standardizes safe dissection
* Supports junior surgeons
* Acts as real-time second observer
ONE-LINE SUMMARY
“LMD™ transforms laparoscopic surgery from visual execution to reflexive, AI-guided
precision.”
LMD Laparascopic Cholecystectomy Surgical Analyser App
Please click on Download Now button to request for the LMD Laparascopic Cholecystectomy Surgical Analyser App through E-Mail
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