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BeatMonitor A12 (ECGTablet)

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BeatMonitor A12 (ECGTablet)

AI-ECG PLATFORM

AI-ECG Platform is an artificial intelligence (AI) electrocardiogram (ECG) assisted analysis and diagnosis system independently developed by Lepu Medical.

High Accuracy Rate

Test by 50,000,000 training data and 1,000,000 independent measured data,the average a c curacy rate of AI-ECG platform reach 95.2%.

High Analysis Speed

Take 1s for automatically resting ECG analysis. The time saved can reduce the overall time of clinical ECG analysis.

Comprehensive Diagnosis

Support 16 types of cardiac classification, 104 types of ECG diagnostic classifications.

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AI-ECG PLATFORM

AI-ECG Platform is an artificial intelligence (AI) electrocardiogram (ECG) assisted analysis and diagnosis system independently developed by Lepu Medical.

High Accuracy Rate

Test by 50,000,000 training data and 1,000,000 independent measured data,the average a c curacy rate of AI-ECG platform reach 95.2%.

High Analysis Speed

Take 1s for automatically resting ECG analysis. The time saved can reduce the overall time of clinical ECG analysis.

Comprehensive Diagnosis

Support 16 types of cardiac classification, 104 types of ECG diagnostic classifications.

 

In-hospital Solution

 

Function Features

  • 7” high resolution color touch screen, easy to operate. Portable design, compact in size.
  • Can be powered by an external DC power supply, a built-in rechargeable lithium battery.
  • Support synchronous acquisition and display of 9/12-lead waveform, as well as heart rate detection.
  • Support automatic pacing detection and marking.
  • Support auto, RR analysis, HRV, medicine test, ECG event mode.
  • Provide 4 sampling modes: pre-sampling, real-time sampling, periodic sampling and trigger sampling.
  • Support automatic pacing detection.
  • Input patient information via virtual alphanumeric keyboard and barcode scanning. Freeze the ECG waveform on the screen.
  • Output files in multiple formats, such as Carewell ECG, PDF, BMP, HL7, DICOM, SCP.
  • Store, preview, review, edit, export, upload, print and search patient data.
  • Support wireless transmission of ECG data via WiFi and mobile networks.
  • Support laser printer.
  • Export patient datato USB flash disk via USB connector.
  • Support the user login permission control, use password or account & password authentication to use the device.
  • Support online and offline login to the device, and view the historical patient data of the department according to thelogin account.
  • Support connection with AI-ECG PLATFORM in achieving intelligent diagnosis (Optional).

Technical Specification

Main unit HR range 30bpm~300bpm
Accuracy ±1
Leads 9,12 lead synchronous acquisition
A / D conversion 24 bits
Sampling rate 32000 samples/Sec
Common mode
rejection ratio		 ≥140dB (AC filter on)
≥120dB (AC filter off)
Time constant ≥5s
Frequency response 0.01HZ??350HZ (+0.4db-3.0db)
Sensitivity Auto, 2.5mm/mV, 5 mm/mV, 10 mm/mV, 20 mm/mV, 40 mm/mV, less than ±5% error
Filter AC filter: 50Hz, 60Hz, Off
EMG filter: 25Hz, 35Hz, 45Hz, Off
ADS filter: 0.01 Hz, 0.05 Hz, 0.32 Hz, 0.67 Hz
Low pass filter: 75Hz,100Hz,150Hz,300Hz,Off
Paper speed 5mm/s, 6.25mm/s, 10mm/s, 12.5mm/s, 25mm/s and 50mm/s, less than ±3% error
Input Impedance ≥100MΩ (10Hz)
Input Circuit Current ≤10nA
Calibration voltage 1mV±2%
Depolarization voltage ±900mV, ±5%
Noise ≤12.5μV
Amplitude quantisation 0.95 μV/LSB
Recovery time after defibrillation discharge <10s
Pacer pulse display Pacing pulse with amplitude of ±2mV~±700mV, duration of 0.1ms~2.0ms, A-5 rise time of less than 100μs, and frequency of 100/min can be displayed on the ECG recording.
Minimum detectable signal 20μVp-p
Size & Weight 7” Tablet Size: 197mm(L) * 112.4mm(W) * 26.1mm(H) Net Weight: 0.8Kg
Analysis algorithm Glasgow
N/A
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