Patient health care strongly relies on in-hospital situations and remote monitoring at home is very challenging. Various human activity recognition systems have been proposed exploiting sensors, cameras, and wearables. However, these techniques raise either privacy concerns or involve the discomfort of carrying wearables all the time. These concerns can be addressed by exploiting a contact-less human activity monitoring system. [1]

Figure 1. Intelligent wireless walls for contactless in-home monitoring

Figure 1 shows one proposed methodology for distant affected person monitoring is wi-fi channel sensing using radio frequency (RF) units. This implies one should deploy extra lively RF units for affected person well being care and monitoring at house, which might be a pricey resolution. An uncommon however frequent resolution is to discover the ambient-stray indicators that are already current within the atmosphere, e.g., Cell and/or WiFi indicators. Moreover, the affected person or end-user acceptance is a matter if we set up extra units for well being monitoring in houses, motivating the necessity to recycle ambient indicators for monitoring.

RIS is usually composed of two layers, the primary layer being a metasurface construction composed of tunable, subwavelength unit cell parts with subwavelength spacing, with a second layer accommodating a management and biasing community. In comparison with applied sciences corresponding to phased arrays and relays, a serious benefit to using RIS for EM transformations is their low complexity and passive nature, thereby making the expertise simply scalable to cowl massive floor areas at low manufacturing value and with minimal energy consumption. [2]

"Since the switching rate and the wide scan angle of the intelligent wall is faster and broader, the number of people monitored in principle can be very large but existing work is limited to single person only," they added.

"The presented technique can be used to monitor patient with profound disabilities, e.g., Freezing of gait (FoG) which is one of the Parkinson's diseases symptoms, the patients may find inability to walk properly and is prone to fall and serious injury. This breakthrough could open a new venue for the intelligent walls to be used for remote patient monitoring to enable the prediction of future trends and events, using AI making a proactive home health-monitoring environment," the scientists say. [3]

References:

1. https://www.eletimes.com/intelligent-wireless-walls
2. https://news8plus.com/intelligent-wireless-walls-for-contactless-in-home-monitoring/
3. https://techxplore.com/news/2022-07-intelligent-wireless-walls-contactless-in-home.html

Cite this article:

Thanusri swetha J (2022), Intelligent wireless walls for contactless in-home monitoring, Anatechmaz, pp.257