ECG Tablet model S120

Manufacturer Shenzhen Carewell Electronics Co., Ltd.

Main unit HR range 30 bpm ~ 300 bpm
Accuracy ± 1
Leads 9, 12 lead synchronous acquisition
A / D conversion 24 bits
Sampling rate 32000 samples/ sec.
Common mode rejection ratio ≥140 dB (AC filter on)
≥ 120 dB (AC filter off)
Time constant ≥ 5 sec.
Frequency response 0.0 1HZ    ̴350 HZ (+ 0.4 db – 3.0 db)
Sensitivity Auto, 2.5mm/mV, 5 mm/mV, 10 mm/mV, 20 mm/mV, 40 mm/mV, less than ±5% error
Filter AC filter: 50 Hz, 60 Hz, Off;
EMG filter: 25 Hz, 35 Hz, 45 Hz, Off;
 ADS filter: 0.01 Hz, 0.05 Hz, 0.32 Hz, 0.67 Hz;
 Low pass filter: 75 Hz,100 Hz,150 Hz,300 Hz,Off
Paper speed 5 mm/ s, 6.25 mm/ s, 10 mm/ s, 12.5 mm/ s, 25 mm/ s and 50 mm/ s, less than ± 3 % error
Input Impedance ≥ 100 MΩ (10 Hz)
Input Circuit Current ≤ 10 nA
Calibration voltage 1 mV ± 2 %
Depolarization voltage ± 900 mV, ± 5 %
Noise ≤ 12.5 μV
Amplitude quantisation 0.95 μV/ LSB
Recovery time after defibrillation discharge < 10 sec.
Pacer pulse display Pacing pulse with amplitude of ± 2 mV ~ ± 700 mV, duration of 0.1 ms ~ 2.0 ms, A-5 rise time of less than 100 μs, and frequency of 100/ min can be displayed on the ECG recording.
Minimum detectable signal 20 μV p-p
Size and weight 7” Tablet Size: 197 mm (Lenght) * 112.4 mm (Width) * 26.1 mm (Height); Net Weight – 0.8 kg
Analysis algorithm Glasgow

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 automatic pacing detection and marking.
* Support auto, RR analysis, HRV, medicine test, ECG event mode.
* Provides 4 sampling modes: pre-sampling, real-time sampling, periodic sampling and trigger sampling.
* 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 connection with AI-ECG PLATFORM in achieving intelligent diagnosis (Optional).