Agency for Science, Technology and Research

Globalfoundries Singapore Pte. Ltd.

National University of Singapore

Tan Tock Seng Hospital Pte Ltd

Chuan Chu Wang

Cuntai Guan

Kok Soon Phua

Chim Seng Seet

Kai Keng Ang

Hai Hong Zhang

Zheng Yang Chin

Alex See

Yun Ling Tan

Yudi Setiawan

Haihong Zhang

Armando Borgna

Ranga Krishnan

Tih Shih Lee

Soon Huat Ng

Su-Yin Yang

Fong Ling Loy

Ka Yin Christina Tang

Soon Yin Tjan

Zhen Guo

Longjiang Zhou

Jingyan Huang

Disclosed is a process for identifying and extracting pain-related electroencephalogram (EEG) signals. The process comprises receiving, from one or more trials, EEG data for each trial; determining a current density for each signal; estimating the current density for a set of neural activity regions of interest, based on the computed current density; and computing at least one spectrum characteristic for each trial based on the estimated current density. Thus mean and variance of changes in the EEG data between EEG data labeled as being indicative of a pain state and EEG data labeled as being indicative of a non-pain state, for each neural activity region of interest can be calculated, and pain-related EEG signals can be identified based on at least one a region of interest at which the variance is below a predetermined threshold.

Identifying and extracting electroencephalogram signals

The present disclosure relates to semiconductor structures and, more particularly, to a thin film resistor and methods of manufacture. A structure includes: a thin film resistor having an opening and being between an upper insulator material and a lower insulator material; and a contact extending through the opening in the thin film resistor and into the lower insulator material.

Thin film resistor

A method for calibrating and executing a rehabilitation exercise for a stroke-affected limb of a stroke patient is disclosed, the method comprising the steps of providing a haptic device for an able limb of the stroke patient to manipulate to perform a calibration action to result in a first position of the haptic device, and providing the haptic device for the stroke-affected limb to manipulate to perform the calibration action to result in a second position of the haptic device. The method further comprises the steps of moving the haptic device coupled with the stroke-affected limb from the second position towards the first position until a predetermined counterforce is detected, indicating an extreme position for the stroke-affected limb using the haptic device, and calibrating the haptic device with the extreme position such that during the rehabilitation exercise, the haptic device is prevented from moving beyond the extreme position.

Method and system for using haptic device and brain-computer interface for rehabilitation

A cognitive training method has a step of obtaining sensor data of a subject during a memory exercise which in turn determines whether the sensor data includes predetermined information indicative of cognitive functions used for remembering. The step of advancing the memory exercise is carried out when it is determined that the sensor data includes predetermined information indicative of cognitive functions used for remembering. The step of calculating an objective cognitive assessment of the subject is carried out when the memory exercise is completed and cognitive training is measured at least partially in response to the advancing of the memory exercise. The fact that an objective cognitive assessment is calculated provides a method of using an autodidactic cognitive training device.

Autodidactic cognitive training device and method thereof

The invention relates generally to a sodium faujasite catalyst, and in particular the use of the sodium faujasite catalyst in producing acrylic acid. In particular, the invention relates to the use of the sodium faujasite catalyst in catalytic dehydration of lactic acid and 3-hydroxypropionic acid (3-HP) to produce acrylic acid.

Method for preparing a sodium faujasite catalyst and its use in producing acrylic acid

Integrated circuits having nickel silicide contacts and methods for fabricating integrated circuits with nickel silicide contacts are provided. An exemplary method for fabricating an integrated circuit includes providing a semiconductor substrate and forming a nonvolatile memory structure over the semiconductor substrate. The nonvolatile memory structure includes a gate surface. The method further includes depositing a nickel-containing material over the gate surface. Also, the method includes annealing the nonvolatile memory structure and forming a nickel silicide contact on the gate surface from the nickel-containing material.

Integrated circuits having nickel silicide contacts and methods for fabricating the same

A method of training a classification algorithm for a Brain Computer Interface (BCI). The method includes the steps of: dividing a Electroencephalography (EEG) signal into a plurality of time segments; for each time segment, dividing a corresponding EEG signal portion into a plurality of frequency bands; for each frequency band, computing a spatial filtering projection matrix based on a Common Spatial Pattern (CSP) algorithm and a corresponding feature, and computing mutual information of each corresponding feature with respect to one or more motor imagery classes; for each time segment, summing the mutual information of all the corresponding features with respect to the respective classes; and selecting the corresponding features of the time segment with a maximum sum of mutual information for one class for training classifiers of the classification algorithm.

Brain-computer interface system and method

Growing community of inventors

Singapore, Singapore

Chuan Chu Wang