GE MAC800 ECG / EKG Machine used Product Description The MAC 800 is an ECG system that can provide resting electrocardiographic measurements. The MAC 800 retrieves the patient's ECG values via an analysis program for an accurate measurement. ECG offers two diff...
Product name:GE MAC1200 MAC1600 MAC2000 MAC3500 MAC5000 MAC5500 ECG machine repair Item:GE MAC1200 MAC1600 MAC2000 MAC3500 MAC5000 MAC5500 Details: GE MAC1200 MAC1600 MAC2000 MAC3500 MAC5000 MAC5500 ECG machine repair [Next:GE MAC3500 心电图机打印头现货供应 整机电路板配件故障维...
Refurbished GE MAC 5500 HD WIFI *with cart* EKG For Sale - DOTmed Listing #2822493: Excellent Condition Recertified GE MAC5500HD ECG/EKG Machine with Cart , including options: - Wireless - HDMD - Color Display - GN12 Analysis Program - DIAG - MODM/FAX -
GE MAC 5500 HD ECG machine Universal Writer Service Kit, Bottom Writer Housing Assembly 2031810-002 No reviews yet Xinyu Duole Biological Technology Co., Ltd.1 yrCN Previous slideNext slide Previous slideNext slideKey attributes Other attributes Place of Origin USA Brand Name MAC 5500 Model ...
Battery 2037082-001 7.2V 4500mAh 33Wh for MAC800 ECG Machine Brief Description The Battery 2037082-001 is a professional battery used in the medical field, specifically designed for the MAC 800 ECG machine. The capacity is 4500mAh / 33.30Wh, and the vol...
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DC: 7.4V, 2000 mAh rechargeable lithium battery Accessories: ECG leads 1 set Limb electrode clamp 1 set Chest electrode 1 set Power connection 1 piece Recording paper 1 piece Ground wire 1 set User manual 1 piece Send your message to this supplier *From: *To: ...
IFMAC-1207AS-IPOWERSUPPLY2.8A(24VDC)C29 IFMEFECTOR0I8502PHOTOELECTRICSWITCH IFMEFECTORFiberOpticAmplifierOO5001OOF-FPKG/M12/KL4,NICEA30 IFMEFECTORIG0310INDUCTIVEPROXIMITYSWITCHINBOXB3 IFMEFECTORMK5107MAGNETICPROXIMITYSWITCHINBAGQ7 IFMEFECTOROB5013OBF-FPKG/T/US(QTY2)OB5021(QTY1)Fiber-OpticSensor(A25 IF...
Adhesive Paper Slitting Machine ECG Paper Slitting Machine is with Film wrapped and then exporting standard wooden case, 3 machines can be loaded in a 20 ft container, one year guarantee time, whole life technician support, a set of tools, a box of...
In this study, we attempted to analyze the ECG signals to detect categorical emotionsusing time-domain features and machine-learning algorithms. Initially, the ECG signals of 30 subjects wereobtained from the publicly available continuously annotated signals of emotion dataset. Further, the signalswere...