Nanyang Technological University

Singapore Health Services Pte Ltd

Delta Electronics Int'l (Singapore) Pte Ltd

Wee Ser

Zhiping Lin

Guangbin Huang

Marcus Eng Hock Ong

Jianmin Zhang

Wei Yun Yau

Xudong Jiang

Jufeng Yu

Hui Lan

Ming Zhang

Fan Yang

Zhuliang Yu

Yongkiang Yeo

Yenpo Tai

Feng Yang

Junfeng Yu

Tongtong Zhang

Marcus Ong Eng Hock

A method of producing an artificial neural network capable of predicting the survivability of a patient, including: storing in an electronic database patient health data comprising a plurality of sets of data, each set having at least one of a first parameter relating to heart rate variability data and a second parameter relating to vital sign data, each set further having a third parameter relating to patient survivability; providing a network of nodes interconnected to form an artificial neural network, the nodes comprising a plurality of artificial neurons, each artificial neuron having at least one input with an associated weight; and training the artificial neural network using the patient health data such that the associated weight of the at least one input of each artificial neuron is adjusted in response to respective first, second and third parameters of different sets of data from the patient health data.

System and method for predicting acute cardiopulmonary events and survivability of a patient

A system for health condition monitoring includes a wearable device, a portable device and a server. The portable device is capable of communicating between the wearable device and the server. The system further includes a non-contact ECG acquisition module for capturing ECG signals from a user wearing the wearable device, a non-contact audio acquisition module for capturing a respiratory sound signal and a heart sound signal from the user wearing the wearable device, a first signal processing and analysis module for receiving and processing the ECG signals, the respiratory sound signal and the heart sound signal to perform QRS detection, HR calculation and ECG derived RR determination, and a second signal processing and analysis module for receiving and processing the ECG signals, the respiratory sound signal and the heart sound signal to perform heart sound localization, heart sound cancellation, respiratory sound restoration, and sound based RR determination.

System and method for health condition monitoring

According to various embodiments, there is provided a method for detecting a sleep disorder, the method including: processing an audio signal, the audio signal including breathing sounds made by a subject when the subject is asleep; identifying intervals of the audio signal where breathing sounds are absent; and detecting the sleep disorder based on the identified intervals.

Methods for detecting a sleep disorder and sleep disorder detection devices

A method of detecting a level of fluid accumulation in an internal organ of a subject is proposed, as well as a system for carrying out the method. The method comprises: providing at least one classifier trained to distinguish between two or more levels of fluid accumulation; acquiring an audio signal () generated by said internal organ; and processing, using at least one processor (), said audio signal () by: performing feature extraction to generate at least one feature vector from the audio signal; and assigning a fluid level from the two or more levels to the audio signal by passing the at least one feature vector to the at least one classifier.

Device, system and method for detection of fluid accumulation

According to embodiments of the present invention, an air conduction sensor for detecting a sound from a user is provided. The air conduction sensor includes a housing comprising an opening, wherein a rim of the opening is configured to at least substantially attach to a skin or a clothing of the user; a microphone coupled to the housing such that there is an air gap between the microphone and the skin or the clothing, and wherein the microphone is configured to detect the sound. A system and a method for monitoring a health condition of a user are also provided.

Air conduction sensor and a system and a method for monitoring a health condition

A method of predicting survivability of a patient. The method includes storing in an electronic database patient health data comprising a plurality of sets of data, each set having a first parameter relating to heart rate variability data including at least one of ST segment elevation and depression, a second parameter relating to vital sign data, and a third parameter relating to patient survivability; providing a network of nodes interconnected to form an artificial neural network, the nodes comprising a plurality of neurons, each having at least one input with an associated weight; and training the neural network using the patient health data such that the associated weight of the at least one input of each neuron is adjusted in response to respective first, second and third parameters of different sets of data from the patient health data, such that the neural network is trained to produce a prediction on the survivability of a patient within the next 72 hours.

Predicting acute cardiopulmonary events and survivability of a patient

Method of predicting acute cardiopulmonary events and survivability of a patient

A template minutia set of a fingerprint comprising template minutiae and a template interest region is provided. Further, an input minutia set comprising input minutiae and an input interest region according to an input fingerprint is provided. The input minutia set is matched with the template minutia set. All matching template/input minutiae are determined. Furthermore, an updated template minutia set is determined dependent on the matching template/input minutiae and the non-matching template/input minutiae, and dependent on whether the template minutiae are inside the input interest region or outside of it and whether the input minutiae are inside the template interest region or outside of it.

Method and device for computer-based processing a template minutia set of a fingerprint and a computer readable storage medium

An adaptive noise canceling microphone system for extracting a desired signal, in particular a desired speech signal, comprising two microphones being arranged at a predefined distance from each other; a signal forming system (SFS) being adapted to receive a first and second input signals resulting from sounds received by the two microphones wherein an acoustical signal component in the first input signal is determined, wherein an acoustical signal component in the second input signal is determined, wherein the acoustical signal component in the first input signal is enhanced to generate a speech enhanced signal, and wherein the acoustical signal component in the second input signal is suppressed to generate a speech nulled signal; an adaptive noise cancellation filtering circuit being adapted to receive the speech enhanced signal and the speech nulled signal, wherein the noise in the speech enhanced signal is cancelled using the speech nulled signal as reference, thereby generating an output filtered signal representing the desired signal.

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Singapore, Singapore

Wee Ser