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Biomedical Sensor Pad (10 pack)

5.0(1 review)
SKU: ME-459
JD5.00
Out Of Stock

The Biomedical Sensor Pads (10-Pack) are pre-gelled, single-use adhesive electrodes designed for bio-signal measurement — including ECG, EMG, EEG, and EDA. Each pad features a conductive hydrogel layer for low-impedance skin contact, a medical-grade hypoallergenic adhesive, and a standard snap connector compatible with most bio-signal cables and modules like AD8232 and MyoWare. Ideal for clinical monitoring, fitness wearables, biofeedback, research, and DIY Arduino/IoT health-monitoring projects.

أقطاب الجلد الحيوية (Biomedical Sensor Pads) – عبوة 10 قطع هي أقطاب لاصقة ذات استخدام واحد، مزوّدة بطبقة هلامية مسبقاً، مصمّمة لقياس الإشارات الحيوية بما فيها ECG، EMG، EEG، EDA. تحتوي كل لاصقة على طبقة هلام موصل لاتصال جلدي بمقاومة منخفضة، ولاصق طبي عالي الجودة غير مسبّب للحساسية، وموصل سناب قياسي متوافق مع معظم كابلات وموديولات الإشارات الحيوية مثل AD8232 وMyoWare. مثالية للمراقبة السريرية، الأجهزة القابلة للارتداء، الأبحاث، ومشاريع Arduino للصحة.

Biomedical Sensors

The Biomedical Sensor Pads (10-Pack) are professional-grade, pre-gelled adhesive electrodes specifically engineered for the non-invasive measurement of bio-electrical signals from the human body. They are widely used in clinical, research, fitness, and DIY biomedical applications to capture ECG (electrocardiogram), EMG (electromyogram), EEG (electroencephalogram), and EDA (electrodermal activity) signals with consistent, repeatable accuracy.

Each pad is built around a conductive hydrogel layer that ensures stable, low-impedance contact with the skin — a critical requirement for capturing low-amplitude biological signals cleanly. The medical-grade adhesive backing keeps the pad firmly in place during measurement sessions, even during light movement or extended monitoring, while remaining gentle enough for comfortable removal.

The pads use a standard snap connector that is compatible with virtually all common bio-signal cables and front-end modules, including the popular AD8232 single-lead ECG module, MyoWare muscle sensor, BITalino, OpenBCI, and most clinical patient monitors. This makes them a universal consumable for both educational kits and professional setups.

Manufactured to be hypoallergenic, latex-free, and skin-safe, the pads are suitable for use on most skin types and for repeated daily measurement sessions on the same patient. Each pad is individually sealed within a resealable pack to preserve gel moisture and adhesive performance over time, with a typical shelf life of 1–2 years when stored properly.

Important: These pads are single-use, disposable, and intended for one patient at a time, in line with standard medical hygiene practice. They should be discarded after a single session to maintain signal quality and skin safety.

 

What's Included

  • 10 × Pre-gelled biomedical sensor pads
  • Resealable foil pack to maintain freshness

 

Specifications

  • Product Type: Pre-gelled disposable biomedical electrode pads
  • Quantity: 10 pads per pack
  • Pad Dimensions: 24 mm × 1 mm (typically round or rectangular)
  • Connector Type: Snap-type (compatible with most standard bio-signal cables)
  • Hydrogel: Conductive gel layer for low skin-electrode impedance
  • Adhesive: Medical-grade, skin-safe, latex-free
  • Skin Compatibility: Hypoallergenic and non-irritating
  • Use: Single-use, disposable — single patient
  • Shelf Life: Approximately 1 – 2 years (sealed)
  • Packaging: Individually sealed in a resealable pack
  • Compatible Applications: ECG, EMG, EEG, EDA bio-signal measurement
  • Compatible Devices: AD8232, MyoWare, BITalino, OpenBCI, clinical patient monitors

 

Applications

  • ECG / EKG heart rate and rhythm monitoring
  • EMG — muscle activity recording and biofeedback
  • EEG — brain activity research and neurofeedback
  • EDA / GSR — electrodermal / galvanic skin response measurement
  • Clinical patient monitoring in hospitals and clinics
  • Wearable health tech and IoT health devices
  • Remote health and fitness tracking
  • Sleep studies and home polysomnography
  • Stress, relaxation, and HRV analysis
  • Sports performance and rehabilitation monitoring
  • Physical therapy and EMG-guided exercise training
  • Prosthetics research (myoelectric control)
  • Academic research and biomedical engineering labs
  • DIY biofeedback and Arduino / Raspberry Pi / ESP32 health projects
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