Acer Inc.

Acer Medical Inc.

National Health Research Institutes

Taipei Veterans General Hospital

Chang Gung Memorial Hospital, Keelung

Wistron Corporation

National Yang Ming Chiao Tung University

Taiwan Textile Research Institute

Jun-Hong Chen

Chun-Hsien Li

Tsung-Hsien Tsai

Yun-Hsuan Chan

Wei-Ting Wang

Yueh-Yarng Tsai

Pin-Cyuan Lin

Ting-Fen Tsai

Hao-Min Cheng

Sheng-Wei Chu

Yin-Hao Lee

Chi-Hsiao Yeh

Te-Chung Huang

Zhao-Ping Fu

Yong-Qing Zhong

Tsung-Han Yang

Andy Ho

Yisheng Chen

Szu-Chieh Wang

Liang-Kung Chen

Li-Ning Peng

Chia-Shang Yuan

Po-Ju Lin

Yu-Ling Li

Yi-Chun Lin

An electronic device and a method for predicting a blockage of a coronary artery are provided. The method includes: obtaining multiple pieces of electrocardiogram (ECG) data respectively corresponding to a coronary artery set; generating multiple first probabilities corresponding to the multiple pieces of electrocardiogram data respectively according to the multiple pieces of electrocardiogram data and a first phase model, generating a first determined result according to the multiple first probabilities, and selecting a first data subset corresponding to a first probability subset from the multiple pieces of electrocardiogram data in response to each one in the first data subset of the multiple first probabilities being greater than a first threshold; generating multiple second probabilities corresponding to the first data subset according to the first data subset and a second phase model, and generating a second determined result according to the multiple second probabilities.

Electronic device and method for predicting blockage of coronary artery

An electronic device and a method for selecting a feature of an electrocardiogram (ECG) are provided. The method includes: obtaining the ECG; performing a first pre-processing on the ECG to generate a first ECG; marking multiple extreme points corresponding to at least one type of wave on the first ECG; calculating a first feature value corresponding to a first feature according to the multiple extreme points of the at least one type of wave, generating a first performance index corresponding to a machine learning model according to the first feature value, and determining whether to select the first feature according to the first performance index; and outputting the first feature in response to selecting the first feature.

Electronic device and method for selecting feature of electrocardiogram

A method and a system for mental index prediction are provided. The method includes the following steps. A plurality of images of a subject person are obtained. A plurality of emotion tags of the subject person in the images are analyzed. A plurality of integrated emotion tags in a plurality of predetermined time periods are calculated according to the emotion tags respectively corresponding to the images. A plurality of preferred features are determined according to the integrated emotion tags. A mental index prediction model is established according to the preferred features to predict a mental index according to the emotional index prediction model.

Method and system for mental index prediction

An electronic device includes a device body and a power distribution module. The power distribution module includes a main body, a handle, at least one first frame and at least one first elastic member. The main body is detachably disposed on the device body. The handle is rotatably connected to the main body. The at least one first frame is slidably disposed on the device body. The at least one first elastic member is connected between the device body and the at least one first frame. The at least one first frame blocks the handle by an elastic force of the at least one first elastic member, so that the main body is limited on the device body. In addition, a power distribution module suitable for the electronic device is also provided.

Electronic device and power distribution module

The disclosure provides a disease classification method and a disease classification device. The disease classification method includes: inputting samples into a first stage model and obtaining a first stage determination result; inputting first samples determined positive by the first stage model into a second stage high specificity model to obtain second samples determined to be positive and third samples determined to be negative and rule in the second samples; inputting fourth samples determined negative by the first stage model into a second stage high sensitivity model to obtain fifth samples determined to be positive and sixth samples determined to be negative and rule out the sixth samples; obtaining a second stage determination result of the second and sixth samples; and inputting the third and fifth samples not ruled in or ruled out into a third stage model and obtaining a third stage determination result of the third and fifth samples.

Disease classification method and disease classification device

A teammate recommendation method for a multiplayer online game is proposed. The teammate recommendation method includes the steps of: determining one or more characteristic values for each of a plurality of players based on past game performance information of the players; dividing the players into a plurality of groups based on the characteristic values of the players; determining a Key Performance Indicator (KPI) for each of a plurality of combinations of the groups based on teammate information and team ranking of each game in the past game performance information; selecting one of the combinations, which includes a first group that the first player belongs to, based on the KPIs of the combinations; and recommending one or more second players based on the selected combination.

Teammate recommendation method for a multiplayer online game

A physiological status evaluation method and a physiological status evaluation apparatus are provided. The method includes the following: obtaining original electrocardiogram data of a user by an electrocardiogram detection apparatus; converting the original electrocardiogram data into digital integration data; obtaining a plurality of physiological characteristic parameters according to the digital integration data; filtering the physiological characteristic parameters for at least one notable characteristic parameter through at least one filter model, where decision importance of the at least one notable characteristic parameter in a decision process of the at least one filter model is greater than a threshold; building a prediction model according to the at least one notable characteristic parameter; and evaluating a physiological status of the user through the prediction model.

Physiological status evaluation method and physiological status evaluation apparatus

A method and a system for recommending a teammate for a team game are provided. The method includes the following: searching game data, where the game data includes a plurality of game evaluation parameters; choosing a target parameter from the game evaluation parameters, where a correlation between the target parameter and at least one game experience index is greater than a correlation between remaining parameters and the at least one game experience index; automatically selecting a target role position according to the target parameter and a first game role position of a chosen game role; automatically selecting a target game role according to the target role position; and recommending a player to be teamed up who plans to use the target game role to play the game as a teammate according to the target game role.

Method and system for recommending teammate for team game

A composite membrane includes a hydrophobic porous membrane and a high water content hydrogel layer disposed on the surface of the hydrophobic porous membrane facing the hot end. The surface active agents contained in the wastewater at the hot end are blocked by the high water content hydrogel layer, thus the problem of pore wetting of the hydrophobic porous membrane can be prevented. Therefore, the membrane distillation technique can be utilized for processing wastewater containing surface active agents.

Composite membrane utilized in membrane distillation

Growing community of inventors

Taipei, Taiwan

Jun-Hong Chen