E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS]

E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS]
E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS] E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS] E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS] E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS] E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS] E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS] E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS] E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS] E-HEALTH SENSOR SHIELD V2.0 FOR ARDUINO AND RASPBERRY PI [BIOMETRIC / MEDICAL APPLICATIONS]
Product Code: E-HEALTH SENSOR SHIELD V2.0
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The e-Health Sensor Shield allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using 9 different sensors. This information can be used to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analysed for medical diagnosis. Biometric information gathered can be wirelessly sent using any of the 6 connectivity options available: Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee depending on the application.

The e-Health Sensor Shield V2.0 allows Arduino and Raspberry Pi users to perform biometric and medical applications where body monitoring is needed by using 10 different sensors: pulse, oxygen in blood (SPO2), airflow (breathing), body temperature, electrocardiogram (ECG), glucometer, galvanic skin response (GSR - sweating), blood pressure (sphygmomanometer), patient position (accelerometer) and muscle/eletromyography sensor (EMG).

This information can be used to monitor in real time the state of a patient or to get sensitive data in order to be subsequently analysed for medical diagnosis. Biometric information gathered can be wirelessly sent using any of the 6 connectivity options available: Wi-Fi, 3G, GPRS, Bluetooth, 802.15.4 and ZigBee depending on the application.

If real time image diagnosis is needed a camera can be attached to the 3G module in order to send photos and videos of the patient to a medical diagnosis center.

Data can be sent to the Cloud in order to perform permanent storage or visualized in real time by sending the data directly to a laptop or Smartphone. iPhone and Android applications have been designed in order to easily see the patient's information.

 

Quick FAQ:

Cooking Hacks wants to give Community the necessary tools in order to develop new e-Health applications and products. We want Arduino and Raspberry Pi Community to use this platform as a quick proof of concept and the basis of a new era of open source medical products.

·         How do I ensure the privacy of the biometric data sent?

Privacy is one of the key points in this kind of applications. For this reason the platform includes several security levels:

·         In the application layer: by using the HTTPS (secure) protocol we ensure a point to point security tunnel between each sensor node and the web server (this is the same method as used in the bank transfers).

 

 

 

You can find our e-Health Sensor Platform Complete Kit to get a complete First Aid Kit for Makers or get the sensors separately:

Pulse and oxygen in blood sensor (SPO2)
Airflow sensor (breathing)
Body temperature sensor
Electrocardiogram sensor (ECG)
Glucometer sensor
Galvanic skin response sensor (GSR - sweating)
Blood pressure sensor (sphygmomanometer) V2.0 New Sensor
Patient position sensor (Accelerometer)
Electromyography Sensor (EMG) New Sensor

IMPORTANT: The e-Health Sensor Platform has been designed by Cooking Hacks in order to help researchers, developers and artists to measure biometric sensor data for experimentation, fun and test purposes. However, as the platform does not have medical certifications it can not be used to monitor critical patients who need accurate medical monitoring or those whose conditions must be accurately measured for an ulterior professional diagnosis.

 

 

 

Documentation:
Tutorial: e-Health Sensor Platform for Arduino and Raspberry Pi [Biometric / Medical Applications]

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