Myolex
Electrical Impedance Myography (EIM) iPad Application
Client: USA
Industry: Healthcare & MedTech
Platform: iOS (iPadOS)
Myolex is a US medical technology company developing non-invasive muscle health diagnostics using Electrical Impedance Myography (EIM). We built a clinical-grade iPadOS application for rapid neuromuscular evaluation, real-time bioimpedance charting, and longitudinal patient tracking.
Services:
- iPadOS App Development
- Medical UI/UX Implementation
- Anatomical Muscle Mapping
- Bioimpedance Data Visualization
Overview
Challenge
Electrical Impedance Myography requires capturing high-frequency electrical current responses (10 kHz to 10 MHz) across individual skeletal muscles, generating complex multi-dimensional datasets including resistance, reactance, and phase angles. The core challenge was translating intricate biophysical data and rigorous clinical protocols into an intuitive, touch-first iPad workflow that physicians and researchers could operate seamlessly at the point of care. The application needed to eliminate clinical friction, support both anterior and posterior muscle selection on anatomical body maps, and display instant diagnostic comparisons without overwhelming the practitioner with raw mathematics.
Solution
- Native iPad application engineered with Swift, UIKit, and SwiftUI for optimal touch-screen responsiveness;
- Interactive anterior and posterior anatomical body maps with single-tap muscle targeting and multi-muscle protocol support;
- Real-time automated benchmarking against normative reference databases, categorizing phase angles into Below, Normal, and Above ranges;
- Interactive multi-frequency impedance spectrum rendering (Resistance, Reactance, Phase vs Frequency) and Cole-Cole (Nyquist) plots;
- Patient management system with longitudinal trend tracking for clinical trials and neuromuscular disease monitoring.
Technology stack
Swift
iOS / iPadOS
SwiftUI
UIKit
Bioimpedance Charts
Device Integration
Our approach
Clinical Workflow Architecture
We analyzed the exact diagnostic sequence used by neurologists and clinicians — from patient intake to muscle selection, active measurement, and report generation — streamlining the journey into a frictionless, step-by-step experience.
Interactive Anatomical Visualization
Designed and implemented responsive anterior and posterior full-body anatomical models. Clinicians can intuitively select individual muscle groups (deltoid, rectus femoris, trapezius, gastrocnemius, etc.) or trigger full-body scans with instant visual feedback.
High-Performance Native Engineering
Leveraged Swift, UIKit, and SwiftUI to build a responsive, robust iPad application capable of rendering real-time bioimpedance curves, Cole-Cole (Nyquist) impedance plots, and longitudinal trend lines at 60 FPS without lag.
Data Integrity & Clinical QA
Conducted exhaustive verification across diverse iPad screen sizes and clinical test scenarios, ensuring absolute accuracy in reference database comparisons (below, normal, above range thresholds) and scan history reliability.
Results
- Frictionless Clinical Flow: A streamlined iPad application allowing medical staff to complete targeted or full-body muscle health assessments in minutes;
- Instant Diagnostic Clarity: Automated comparison of 100 kHz phase values against normative databases, color-coding results for immediate clinical interpretation;
- Advanced Multi-Frequency Analytics: Interactive, publication-ready charts displaying Resistance vs. Frequency, Reactance vs. Frequency, Phase vs. Frequency, and Reactance vs. Resistance;
- Longitudinal Patient Tracking: Comprehensive scan history and timeline trends enabling neurologists to monitor disease progression (e.g., ALS, SMA) or rehabilitation progress over time.
