US 11,984,220 B2
Virtual consultation method and electronic device
Kai-Chieh Yang, San Diego, CA (US); Chih-Wei Chiu, Kaohsiung (TW); and Alvin Hsu, San Diego, CA (US)
Assigned to KURA CARE LLC, San Diego, CA (US); and KURA MED INC., Taipei (TW)
Filed by KURA Care LLC, San Diego, CA (US); and KURA Med Inc., Taipei (TW)
Filed on Nov. 13, 2019, as Appl. No. 16/681,849.
Claims priority of provisional application 62/760,044, filed on Nov. 13, 2018.
Prior Publication US 2020/0203011 A1, Jun. 25, 2020
Int. Cl. G16H 40/67 (2018.01); G06Q 50/20 (2012.01); G16H 10/20 (2018.01)
CPC G16H 40/67 (2018.01) [G06Q 50/20 (2013.01); G16H 10/20 (2018.01)] 14 Claims
OG exemplary drawing
 
1. A virtual consultation method for an electronic device having a processor and an output/input device, the method comprising the steps of:
receiving, via the output/input device, physiological information of a user automatically, wherein the physiological information is acquired by a sensing device configured to monitor at least one physiological condition of the user without requiring any action or input by the user;
determining, via the processor, a customized measurement range for monitoring one of the at least one physiological condition of the user based on a history data of the user;
obtaining, via the processor, training data of the at least one physiological condition based on the physiological information;
performing, via the processor, a feature extraction operation on the training data to obtain a plurality of features;
normalizing, via the processor, the plurality of features along with other data of other users to obtain a first normalization data;
normalizing, via the processor, the first normalization data along with the history data of the user to obtain a second normalization data, the second normalization data being specifically normalized for only the user that the history data is based upon;
training, via the processor, a model according to the second normalization data;
analyzing, via the processor, the physiological information in conjunction with the model to obtain an analysis result;
adjusting, via the processor, weights of a plurality of questions based on the analysis result and determining at least one question applicable to the user from the plurality of questions and determining an order of the at least one question for presentation to the user based on the adjusted weights; and
outputting, via the output/input device, the at least one question based on the order thereby presenting a question for promoting interaction with the user during the virtual consultation by an emulated virtual healthcare provider.