Chennai
08048035828
+919382206047
Diabetic Foot Evaluation Lab by DFCIndia

eZyLAB - Automated Diabetic Foot Evaluation Lab

INR 400000
In stockcod not available
Phone Number

08048035828

Please keep 0 before dialling the number.

Email Address mesmedi@gmail.com

Mon-Thu: 10 AM - 2 PM • Fri: 3 PM - 7AM

Other Website Visit our other website
Address 18/1 , 3rd Main Road , Kannappa Nagar

Chennai, India, 600041

Description

eZyLAB: Redefining Point-of-Care Diabetic Foot Evaluation Management System The Diagnostic Challenge in Diabetes Care Effective diabetes management depends on timely, accurate data. For clinical teams managing large patient loads — across urban hospitals, district health centres, and outreach camps — the turnaround time from sample screening to actionable results can determine the quality of a consultation and, ultimately, patient safety outcomes. The eZyLAB system from Diabetik Foot Care India Pvt Ltd, Chennai addresses this gap directly. It is a compact, portable, multi-parameter point-of-care (POC) diabetic foot evaluation system designed for environments where speed, reliability, and ease of operation are non-negotiable requirements. Technical Architecture and Scope The eZyLAB is a fully automated diabetic foot screening system without the complexity of Doppler ultrasound. It uses a state-of-the-art, neural algorithm Oscilometry ABI method for vascular screening. This process is fully automated, requiring only 4 cuffs connected simultaneously (no probes needed), and measures both Resting ABI and Exercise ABI. The eZyLAB includes Biothesiometry (VPT), Monofilament 10gm, Plantar Pressure (Podiascan), and Plantar Foot Thermometer. Features: Vascular Screening Section: • Only 4 BP cuffs are needed. • No probes or sensors. • Measurement in 4 minutes. • Resting ABI & Exercise ABI. • Systolic, Diastolic pressures, MAP, Pulse Pressure and interpretations. Diabetic Neuropathy Section: • 0 to 30Volts vibration intensity • 125Hz vibration frequency • 10gm calibrated monofilament Plantar Pressure Measurement Section: • High-quality Harris Mat - FM1111 • Resolution of the Harris Mat is 1mm x 1mm • Measurable mat length – 140mm x 305mm • Software to produce image processing • Colourful patient report Foot Temperature Section: • Quality IR sensor-based thermometer • Accuracy is +/- 2 degree • Low battery indicator • Low/High alarm facility Computer Connectivity: • Automatic USB connectivity • Software is compatible with Windows OS 7,8,10 and 11 • Editable Hospital details, including their logo. • Supports HP, Canon, and EPSON flatbed all-in-one printers • Software generates ABI, PVR, VPT, MF10gm, Foot pressure mapping, and foot temperature reports • Colour Report printed on A4-size plain paper General: • Dimensions : 288mm (W) x 260mm (D) x 120mm (H) • Weight without Trolley & accessories: 35kg • Power consumption: 40VA • Operating Voltage: 100Volts to 250Volts, 50Hz Clinical Integration and Workflow Efficiency One of the defining features of eZyLAB is its capacity to integrate seamlessly into point-of-care workflows without requiring a dedicated technician. For hospital systems managing diabetic outpatient departments (OPDs), diabetic foot clinics, or metabolic health programmes, the ability to obtain a multi-parameter data panel during a single consultation visit eliminates the need for patients to return for multiple tests — a critical improvement in adherence to follow-up care. Precision, Calibration, and Regulatory Compliance eZyLAB's analytical accuracy has been tested against international reference methods. The system is designed for compliance with CDSCO regulatory requirements for in-vitro diagnostic devices in India, and documentation support is available to facilitate procurement and institutional validation processes. Summary eZyLAB represents a clinically validated, operationally practical solution for point-of-care screening in diabetes care. Its multi-parameter capability, rapid turnaround, and deployment flexibility position it as a strategic asset for clinical teams committed to delivering timely, data-driven diabetes management at the point of patient contact.

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