Abstract: A system for conducting a defibrillation threshold (DFT) test for programming an implantable medical device such as an implantable cardioverter defibrillator (ICD) during its implantation includes an external defibrillator as a back up device. The system reduces the risk to the patient by performing an automated external defibrillation procedure when external defibrillation is needed to recover the patient from an arrhythmia episode induced for the DFT test.

Abstract: A computer controlled elevator system (FIG. 1) including signal processing means for dynamically computing the population spread of the building, i.e., the number of elevator users in a building on a floor-by-floor basis, including the lobby, in accordance with an algorithm (FIG. 2). During the up-peak period each floor's population is computed by monitoring the boarding and de-boarding counts and using those counts to update that floor's population figure throughout that period on an additive basis. After the period has been completed, the floor-by-floor information, which had been maintained in a table, is used to determine the "final" historic based floor population spread using also historic data based at least on the past several active days' of population spread using "exponential smoothing." As a verifying cross-check the lobby's figure, which typically should equal the total building population, is compared to the total of all of the upper floors' populations.

Abstract: During downpeak time period of an elevator system, cars are assigned to sectors of an approximately equal number of floors with remaining floors being assigned to sectors near the lobby, one car per sector. The invention provides a dispatching strategy for serving elevator traffic in both up and down directions, giving priority service to the down traveling traffic while providing limited service to the up traveling traffic. All floors requiring down service are given equal access to the system regardless of the position of the floor in the building.

Abstract: An elevator car dispatcher having an artificially intelligent supervisor which generates a crowd prediction signal associated with a particular floor, monitors a condition of a first elevator car which has serviced the predetermined floor and controls the remainder of elevator cars assigned to the predetermined floor dependent upon the condition of the first car.

Abstract: A computer controlled elevator system (FIG. 1) including signal processing means for dynamically computing the population spread or density of the buildings, i.e., the number of elevator users in a building on a floor-by-floor basis, including the lobby, and to use such information to compensate for traffic shifts occuring in connection with the up-peak period in which dynamic channeling is used for an elevator car assignment scheme based on prediction methodology, all in accordance with an algorithm (FIG. 3). If, for example, the prediction methodology predicts that the up-peak dynamic channeling scheme should begin but the real time data has not detected any beginnings of an up-peak traffic pattern, the prediction methodology is over-ridden until the real time data finally picks up such a pattern.

Abstract: An elevator system (FIG. 1) employing a microprocessor-based group controller (FIG. 2) communicating with elevator cars (3,4, . . . ) to derive relative prediction values to be used in a scheme of ultimately assigning, e.g., cars to hall calls at a plurality of floors in the building, using appropriate dispatching strategies based on predicted traffic conditions. In the algorithm of the invention (FIG. 3) the building's inhabitants' behavior based on weekly events, daily events and real time events is predicted, with the events being used to derive relative prediction values based on the weighted summation of the real, daily and weekly values of the events. Weekly events are considered to be those that happened over a past number of weeks (e.g. 10 weeks) on the same day of the week; while daily events are those that happened over the past few days (e.g. 5 days).

Abstract: A computer based elevator system (FIG. 1) including data "filtering" means evaluating at least part of the system's over-all operational, historic data base, determining when significant traffic density was present in the system and then selecting out such data, saving it in a special data base. Boarding and de-boarding count data is separately processed on a floor-by-floor, time-interval-by-time-interval, sequential basis and evaluated with respect to two base lines (FIGS. 2A and 4)--a first, "end" base line ("E") based on a preset, lower percent of the total floor's population ("F.P."; e.g. E=1% F.P.), and a second, "start" base line ("S") baased on a preset, higher percent of that floor's total population (e.g. S=3% F.P.); and two time frames--a first, minimum time frame ("T.S.") based on the time (e.g. 18 minutes) the values must stay above "S" for significant traffic density to be considered present, and a second, maximum time frame ("T.E.