Adafruit Python Sensaris - Wireless sensors Internet of things solutions. e-Health Sensor Platform V2.0 for Arduino and Raspberry Pi [Biometric / Medical Applications] 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. Pulse and Oxygen in Blood (SPO2) SPO2 sensor features Pulse oximetry a noninvasive method of indicating the arterial oxygen saturation of functional hemoglobin. Connecting the sensor Connect the module in the e-Health sensor platform. Initializing by
Air.Air! ~ Portable Air Quality Detector by Air.Air! Air.Air! automatically measures air quality by detecting particulate matter. It can detect particles in the air, including minute traces of cigarette smoke or diesel fumes. With our air quality sensing app, you can set an alarm (currently under development) to alert you if the quality level goes below a specified levels. It also measures temperature. It uses the new Low Energy Bluetooth (BLE), so it can transmit data to any Bluetooth-compatible device. Easy to carry and very simple to use. Many cities have daily air quality reports, but these reports are very general. We believe this device may be of interest to engineers and curious minds who want to know more about air quality and are interested in collecting data about their environment. By using Air.Air! The dust particles are basically invisible. Air.Air! There are a lot of other ways you can use it. By having our own air quality monitoring system, we can potentially optimize decisions to decrease exposure to poor air. Air.Air!
Raspberry Pi Pinout 3v3 Power The 3v3, 3.3 volt, supply pin on the Pi has a max current draw of 50 mA, enough to power a couple of LEDs but not much more. You should use the 5v0 supply instead, and use a regulator if you need 3v3. BCM pin 0 on Rev 1 board and pin 2 on Rev 2 board. WiringPi pin 8. It's easy to get started writing a digital HIGH or LOW to a GPIO pin, but you've got to remember a few things: Run your script as root Set your pin's mode to OUTPUT (1) Assuming you've installed WiringPi2-Python ( pip install wiringpi2 ) then try pasting the following into a .py file: import wiringpi2 as wiringpiHIGH = 1LOW = 0OUTPUT = 1INPUT = 0wiringpi.wiringPiSetup()wiringpi.pinMode(8,OUTPUT)wiringpi.digitalWrite(8,HIGH) Then run it with: sudo python myscript.py BCM pin 1 on Rev 1 board and pin 3 on Rev 2 board. require 'wiringpi2'HIGH = 1LOW = 0OUTPUT = 1INPUT = 0io = WiringPi::GPIO.newio.pin_mode(9,OUTPUT)io.digital_write(9,HIGH) BCM pin 4. Ground BCM pin 17. BCM pin 21 on Rev 1 board and pin 27 on Rev 2 board.
Particulates This diagram shows types, and size distribution in micrometres, of atmospheric particulate matter This animation shows aerosol optical thickness of emitted and transported key tropospheric aerosols from 17 August 2006 to 10 April 2007, from a 10 km resolution GEOS-5 "nature run" using the GOCART model.[1][2] (click for more detail) * green: black and organic carbon * red/orange: dust * white: sulfates * blue: sea salt Movie map of distribution of aerosol particles, based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra satellite. * Green areas show aerosol plumes dominated by larger particles. * Red areas show aerosol plumes dominated by small particles. * Yellow areas show where large and small aerosol particles are mixing. * Gray shows where the sensor did not collect data. Atmospheric particulate matter – also known as particulate matter (PM) or particulates – is microscopic solid or liquid matter suspended in the Earth's atmosphere.
HabitatMap - Home Air Quality Egg WiringPi-Python Air pollution monitoring stations face closure as government looks to cut costs | Environment Up to 600 stations for monitoring air pollution across England could be shut down under new government plans to save money by cutting regulations. Ministers want to remove obligations on local authorities to assess air quality in their areas, resulting in less monitoring. But environmental campaigners are accusing them of trying to hide one of the country's biggest public health problems. Government advisers have estimated that one type of pollutant – miniscule particles from diesel engines, fossil fuel power stations and other sources – is killing 29,000 people a year in the UK, and costing health services about £16bn. But European air pollution limits meant to protect health are being breached in urban areas across the country, with the highest levels in London. According to the Department for Environment Food and Rural Affairs (Defra), the limits for the toxic exhaust gas, nitrogen dioxide, were exceeded in 40 of the UK's 43 air quality zones in 2010.
e-Health Sensor Platform V2.0 for Arduino and Raspberry Pi [Biometric / Medical Applications] In August 2013 Cooking Hacks launched the new version of the first biometric shield for Arduino and Raspberry Pi: the e-Health Sensor Platform V2.0. Thanks to the feedback given by the Community and several projects that have been created with it, we have improved the e-Health platform with new features such as: New muscle sensor New blood pressure sensor Upgraded glucometer New Connection possibilities In this tutorial we will explain how to work with e-Health Sensor Platform V2.0. Tutorial: e-Health Sensor Platform V1.0 for Arduino and Raspberry Pi [Biometric / Medical Applications] 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. 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. Quick FAQ: What does it mean to count with an open medical monitoring platform? Kit Sensors
alima wiringpi 1.0.5 A python interface to WiringPi library which allows for easily interfacing with the GPIO pins of the Raspberry Pi. Also supports i2c and SPI WiringPi: An implementation of most of the Arduino Wiring functions for the Raspberry Pi Prerequisites: You must have python-dev installed If you manually rebuild the bindings with swig -python wiringpi.i then cat wiringpi_class.py >> wiringpi.py to get the class-based wrapper Get/setup repo: git clone cd WiringPi-Python git submodule update --init Build & install with: sudo python setup.py install Class-based Usage: import wiringpi io = wiringpi.GPIO(wiringpi.GPIO.WPI_MODE_PINS) io.pinMode(1,io.OUTPUT) io.digitalWrite(1,io.HIGH) GPIO with /sys/class/gpio (You must first export the interfaces): import wiringpi io = wiringpi.GPIO(wiringpi.GPIO.WPI_MODE_SYS) io.pinMode(1,io.OUTPUT) io.digitalWrite(1,io.HIGH) Serial: serial = wiringpi.Serial('/dev/ttyAMA0',9600) serial.puts("hello") serial.close() Usage:
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