{"id":123,"date":"2016-10-28T16:22:15","date_gmt":"2016-10-28T16:22:15","guid":{"rendered":"http:\/\/open.ieec.uned.es\/e-health\/?p=123"},"modified":"2016-10-28T16:22:15","modified_gmt":"2016-10-28T16:22:15","slug":"e-health-environments-based-on-open-hardware-microcontrollers-part-4-of-5-physiological-monitoring","status":"publish","type":"post","link":"https:\/\/open.ieec.uned.es\/e-health\/e-health-environments-based-on-open-hardware-microcontrollers-part-4-of-5-physiological-monitoring\/","title":{"rendered":"E-health environments based on Open hardware microcontrollers (part 4 of 5): Physiological monitoring"},"content":{"rendered":"<p><em>e-Health sensor platform<\/em><\/p>\n<p>The e-Health Sensor Platform <a href=\"#_edn1\" name=\"_ednref1\">[i]<\/a> by Spanish electronics manufacturer Libelium is an open physiological monitoring platform using nine different sensors: pulse, oxygen in blood (SpO 2 ), airflow (breathing), body temperature, ECG, glucometer, galvanic skin response, blood pressure (sphygmomanometer) and patient position (accelerometer). The platform, shown in figures 3 and 4, consists of a board or shield that plugs into an Arduino or Raspberry Pi and interfaces with the various sensors, allowing for experimenting directly with the signals coming from these sensors.<\/p>\n<p>&nbsp;<\/p>\n<p>To build the device a Raspberry Pi or Arduino is required. No special skills are required, as it comes as a modular kit where the various components are just plugged in. The components provided are off-the-shelf sensors and products that have been modified to work with the kit. Source code is available for Raspberry Pi and Arduino.<\/p>\n<p><em>\u00a0<\/em><\/p>\n<p><em>OpenBCI<\/em><\/p>\n<p>OpenBCI is an eight-channel EEG signal capture platform (see figure 5) of which the hardware, software and mechanical design files are available online. <a href=\"#_edn2\" name=\"_ednref2\">[ii]<\/a> It is intended for human brain-computer interface technologies, but the hardware can also be used to perform other types of biosensing, like EMG and heart rate (EKG).<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-126\" src=\"http:\/\/62.204.201.63\/e-health\/wp-content\/uploads\/2016\/07\/Figure-3-Arduino-bottom-showing-USB-connector-and-e-Health-shield-UK-1-coin-225-cm-1-1.png\" alt=\"Figure-3-Arduino-bottom-showing-USB-connector-and-e-Health-shield-UK-1-coin-225-cm\" width=\"432\" height=\"363\" \/><\/p>\n<p><strong>Figure 3<\/strong> Arduino (bottom, showing USB connector) and e-Health shield. UK \u00a31 coin (2.25 cm diameter) for scale. (Photo by Patrick Oladimeji, image licensed under the Creative Commons BY-SA license).<\/p>\n<p>&nbsp;<\/p>\n<p>All hardware and electrodes are included with the kit. It comes as a modular kit, with the hardware design files available. A 3D-printable EEG headset, called Spiderclaw, is in development. Source code is available for Arduino (8-bit), ChipKit (32-bit), Processing and Python.<\/p>\n<p><em>\u00a0<\/em><\/p>\n<p><strong><em>Do-it-yourself blood pressure monitor<\/em><\/strong><\/p>\n<p>Russell et al <a href=\"#_edn3\" name=\"_ednref3\">[iii]<\/a> published instructions to build a do-it-yourself (DIY) blood pressure monitor. The instructions include a bill of materials and circuit diagrams. The blood pressure monitor relies on an electronic pressure sensor connected to an aneroid sphygmomanometer (a mechanical type with a dial). The monitor runs on batteries that can be recharged using a hand crank generator. They do mention that it is an experimental prototype and that the measurements should not berelied on for clinical use.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-125\" src=\"http:\/\/62.204.201.63\/e-health\/wp-content\/uploads\/2016\/07\/blood-glucose-1-1.jpeg\" alt=\"blood glucose\" width=\"265\" height=\"190\" \/><\/p>\n<p><strong>Figure 4<\/strong> Blood glucose meter connected to e-Health shield (Photo by Patrick Oladimeji, image licensed under the Creative Commons BY-SA license).<\/p>\n<p>&nbsp;<\/p>\n<p>The device can be built using basic tools from a home hardware store. The various electroniccomponents that can be sourced from distributors, as well as an off-the-shelf sphygmomanometer. An off-the-shelf project box is used to contain the electronics. Source code is available for a Microchip PIC microcontroller, and only basic knowledge of electronics and soldering is required.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone\" src=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/b\/ba\/Openbci-brain-computer-interface-by-omphalosskeptic.png\" width=\"3173\" height=\"2644\" \/><\/p>\n<p><strong>Figure 5 <\/strong>OpenBCI brain-computer interface (Photo by Wikimedia Commons, image licensed under the Creative Commons BY-SA license).<\/p>\n<p><a href=\"#_ednref1\" name=\"_edn1\">[i]<\/a>\u00a0\u00a0\u00a0\u00a0 Libelium Comunicaciones Distribuidas S.L. e-Health Sensor Platform V2.0 for Arduino and Raspberry Pi. http:\/\/www.cooking-hacks.com\/documentation\/tutorials\/ehealth-biometric-sensor-platform-arduino-raspberry-pi-medical\/. http:\/\/www.webcitation.org\/6Yc5uii53<\/p>\n<p><a href=\"#_ednref2\" name=\"_edn2\">[ii]<\/a>\u00a0\u00a0\u00a0 OpenBCI. http:\/\/www.openbci.com\/. http:\/\/www.webcitation.org\/6YgdlKXD8<\/p>\n<p><a href=\"#_ednref3\" name=\"_edn3\">[iii]<\/a>\u00a0\u00a0 Russell A, Orchard G, Reiley C. DIY blood pressure monitor. Make 2012;20:70\u20137.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>e-Health sensor platform The e-Health Sensor Platform [i] by Spanish electronics manufacturer Libelium is an open physiological monitoring platform using nine different sensors: pulse, oxygen in blood (SpO 2 ), airflow (breathing), body temperature, ECG,&#8230;<\/p>\n","protected":false},"author":1,"featured_media":126,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[2],"tags":[],"_links":{"self":[{"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/posts\/123"}],"collection":[{"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/comments?post=123"}],"version-history":[{"count":0,"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/posts\/123\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/media\/126"}],"wp:attachment":[{"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/media?parent=123"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/categories?post=123"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/open.ieec.uned.es\/e-health\/wp-json\/wp\/v2\/tags?post=123"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}