Going to bed at night in the safety of my own home is a happy moment. I start looking forward to all the activities of the next day, planning the steps, and feeling joyful when knowing that I would have time to dedicate to some of my favorite occupations.
Not everyone is that lucky. Unfortunately, and according to statistics, about 45% of the population will have to deal with at least one chronic condition. Even if diagnosed and treated, many chronic illnesses patients will have to face a reduced quality of life, while in general, a strong burden is placed on healthcare costs.
With the rapid advent of technology, especially in the information and communications technologies (ICTs) sector, more opportunities for relief of chronic diseases symptoms and costs related to treatment arise. eWALL is a smart wireless application environment, targeting patients with Chronic Obstructive Pulmonary Disorder (COPD) and mild cognitive impairments. It is formed in the most general terms by the eWALL Sensing Environment and the eWALL Cloud. eWALL sensors collect information from within the home environment of the patient by means of smart sensing devices and forwards the data further by residential gateways. The home sensors are enabled with processing algorithms realized by means of a hardware part (sensor boards, radios and sensor gateway board), a software one (the sensor board programming) and a middleware one (the device gateway). The sensor gateway uses a Universal Serial Bus (USB) interface to connect to the home computer. It is not programmable and serves only as a radio interface to the home computer for receiving the data packets from the sensor nodes or for sending command packets back to them. The signals from the smart wireless devices are processed to extract the context required to create a personalized application to the user. The context extraction is performed by means of non-audio/visual (A/V),-, A/V processing and metadata indexing. For example, the non-A/V perception is the processed data from monitoring sensors (e.g., Libelium, Arduino), while the A/V perception in eWALL is based on the Kinect device.
With other words, it should be easy to build your own eWALL?
Despite the fact that one with sufficient technical knowledge and zest may be able to build a prototype with off-the-shelf devices, the mere fact that it concerns human health, and we, as individuals are very diverse in our habits, needs, and expectations, puts the major challenge of creating a highly personalized and interoperable environment, that in addition complies with the basic safety and reliability standards.
So, if you wish to build your own eWALL, you would still need to certify its operation by conforming to existing health requirements and standards.