Human Centric Lighting
Light-based regulation of circadian rhythms has the potential to significantly improve human health and wellbeing. Control algorithms based on established circadian dynamics from clinical study-data are instrumental in the implementation of circadian-regulating lighting. LESA research explores opportunities to utilize advanced lighting systems and associated health applications to address issues related to sleep disorders, shift worker fatigue, jet lag, and human health and wellbeing. Research in this capacity continues to address, define, and refine the role of the precise light spectrum, intensity, and timing on patient outcomes.
Patient Safety & Protection System
LESA’s precise pattern recognition methodology led to the development of extremely robust algorithms that enable ‘Indoor LIDAR’ sensors to detect the precise location of occupants instantly and respond to changes with a low-cost integrated sensor platform.
The Indoor LIDAR platform uses the speed of light to measure distances between a sparse network of sensors and objects or occupants in any space at any time. It provides an inexpensive and discrete solution in places where monitoring occupants is an important function of a facility such as hospitals, eldercare facilities, nursing homes, day cares or, and long-term or assisted living centers.
LESA research for the management of control systems for circadian rhythm regulation in the treatment of sleep disorders and disruption in patients with traumatic brain injuries is supported by the Drosophila testbed at RPI. LESA researchers and industry members also have access to the inpatient Lighting Testbed at the University of New Mexico Hospital and the ICU Hospital Testbed at Thomas Jefferson University in Philadelphia. Both testbeds are equipped with an integrated network of tunable LED luminaires, sensors and controls designed to simulate the appropriate environment for human health lighting applications.
LESA research is also exploring the use of Time of Flight (ToF) sensors and technology platforms in the healthcare setting to provide powerful and discreet surveillance in environments where cameras would be ineffective, costly, or invasive.