Abstract: A device that detects people walking or moving on a floor. It consists of a floor sensor system, usually under a carpet, an electronic interface, computing and storage, a real-time display, data recall, web access and notification. Sophisticated computational intelligence algorithms are used to detect people who fall on the floor. Also detectable is any ambulatory activity, fall or drop and if classified as an event, the event can be sent as a notification via a cell phone, SMS messaging, email, or pagers to the appropriate recipient. Once installed the system operates continuously and the data can be stored for years in the cloud or other format, and can be used to show diagnostically important functional changes.

Abstract: A device that detects people walking or moving on a floor. It consists of a floor sensor system, usually under a carpet, an electronic interface, computing and storage, a real-time display, data recall, web access and notification. Sophisticated computational intelligence algorithms are used to detect people who fall on the floor. Also detectable is any ambulatory activity, fall or drop and if classified as an event, the event can be sent as a notification via a cell phone, SMS messaging, email, or pagers to the appropriate recipient. Once installed the system operates continuously and the data can be stored for years in the cloud or other format, and can be used to show diagnostically important functional changes.

Abstract: In an improved flow microfluorometer, the variation in fluorescence intensity of a particle as a function of wavelength is transduced to an electrical variation in time where time in the signal variation is proportional to wavelength. The resulting spectrum may be a line spectrum or a continuous spectrum. The temporal waveforms can then be analyzed to extract data on a single particle, and this information in turn can be used as a means to identify the particle for sorting.