The Experts below are selected from a list of 7158 Experts worldwide ranked by ideXlab platform

Andreas Demosthenous - One of the best experts on this subject based on the ideXlab platform.

  • Live Demonstration a wearable torso shape detection belt for lung respiration monitoring
    International Symposium on Circuits and Systems, 2019
    Co-Authors: Dai Jiang, Richard Bayford, Andy Bardill, Serena De Gelidi, Andreas Demosthenous
    Abstract:

    A 32 channel wearable torso shape detection belt will be demonstrated. The belt is designed to measure the torso shape of a neonate and provide real-time boundary information to assist the electrical impedance tomography (EIT) system to produce high quality lung respiration images. The system is fully integrated on a flexible printed circuit board which is encapsulated in a silicon wearable cover. During the Live Demonstration, while EIT images are reconstructed, the boundary shape can be changed to improve the image.

  • ISCAS - Live Demonstration: A Wearable Torso Shape Detection Belt for Lung Respiration Monitoring
    2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019
    Co-Authors: Dai Jiang, Richard Bayford, Andy Bardill, Serena De Gelidi, Andreas Demosthenous
    Abstract:

    A 32 channel wearable torso shape detection belt will be demonstrated. The belt is designed to measure the torso shape of a neonate and provide real-time boundary information to assist the electrical impedance tomography (EIT) system to produce high quality lung respiration images. The system is fully integrated on a flexible printed circuit board which is encapsulated in a silicon wearable cover. During the Live Demonstration, while EIT images are reconstructed, the boundary shape can be changed to improve the image.

  • Live Demonstration a wearable eit system for hand prosthesis motion controls
    International Symposium on Circuits and Systems, 2018
    Co-Authors: Dai Jiang, Richard Bayford, Andreas Demosthenous
    Abstract:

    A wearable electrical impedance tomography (EIT) system for hand prosthesis motion control is demonstrated. The system captures the user's hand motion by measuring the impedance alterations caused by muscle and bone movement inside the forearm. These impedance data are sent to an artificial neural network for motion classification which is then used to manipulate a hand prosthesis. During the Live Demonstration, a sensor band is put on a volunteers' forearm for data acquisition. After signal processing, hand gestures learnt by the neural network can be recognized and the same hand motion can be recreated through the hand prosthesis in real-time.

  • ISCAS - Live Demonstration: A Wearable EIT System for Hand Prosthesis Motion Controls
    2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
    Co-Authors: Dai Jiang, Richard Bayford, Andreas Demosthenous
    Abstract:

    A wearable electrical impedance tomography (EIT) system for hand prosthesis motion control is demonstrated. The system captures the user's hand motion by measuring the impedance alterations caused by muscle and bone movement inside the forearm. These impedance data are sent to an artificial neural network for motion classification which is then used to manipulate a hand prosthesis. During the Live Demonstration, a sensor band is put on a volunteers' forearm for data acquisition. After signal processing, hand gestures learnt by the neural network can be recognized and the same hand motion can be recreated through the hand prosthesis in real-time.

  • Live Demonstration a wearable eit system using active electrodes for monitoring respiration
    International Symposium on Circuits and Systems, 2017
    Co-Authors: Dai Jiang, Richard Bayford, Andy Bardill, Serena De Gelidi, Andreas Demosthenous
    Abstract:

    A wearable electrical impedance tomography system for lung respiratory monitoring will be demonstrated. The system features an active electrode integrated circuit (IC) fabricated in 0.35-μm CMOS technology. The IC is mounted on a flexible printed circuit board which is then embedded in a textile belt. During the Live Demonstration, the belt can be put on the volunteers' chest, and through a back-end signal processing hub, the system is able to provide real-time lung respiratory images on a remote computer.

Dai Jiang - One of the best experts on this subject based on the ideXlab platform.

  • Live Demonstration a wearable torso shape detection belt for lung respiration monitoring
    International Symposium on Circuits and Systems, 2019
    Co-Authors: Dai Jiang, Richard Bayford, Andy Bardill, Serena De Gelidi, Andreas Demosthenous
    Abstract:

    A 32 channel wearable torso shape detection belt will be demonstrated. The belt is designed to measure the torso shape of a neonate and provide real-time boundary information to assist the electrical impedance tomography (EIT) system to produce high quality lung respiration images. The system is fully integrated on a flexible printed circuit board which is encapsulated in a silicon wearable cover. During the Live Demonstration, while EIT images are reconstructed, the boundary shape can be changed to improve the image.

  • ISCAS - Live Demonstration: A Wearable Torso Shape Detection Belt for Lung Respiration Monitoring
    2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019
    Co-Authors: Dai Jiang, Richard Bayford, Andy Bardill, Serena De Gelidi, Andreas Demosthenous
    Abstract:

    A 32 channel wearable torso shape detection belt will be demonstrated. The belt is designed to measure the torso shape of a neonate and provide real-time boundary information to assist the electrical impedance tomography (EIT) system to produce high quality lung respiration images. The system is fully integrated on a flexible printed circuit board which is encapsulated in a silicon wearable cover. During the Live Demonstration, while EIT images are reconstructed, the boundary shape can be changed to improve the image.

  • Live Demonstration a wearable eit system for hand prosthesis motion controls
    International Symposium on Circuits and Systems, 2018
    Co-Authors: Dai Jiang, Richard Bayford, Andreas Demosthenous
    Abstract:

    A wearable electrical impedance tomography (EIT) system for hand prosthesis motion control is demonstrated. The system captures the user's hand motion by measuring the impedance alterations caused by muscle and bone movement inside the forearm. These impedance data are sent to an artificial neural network for motion classification which is then used to manipulate a hand prosthesis. During the Live Demonstration, a sensor band is put on a volunteers' forearm for data acquisition. After signal processing, hand gestures learnt by the neural network can be recognized and the same hand motion can be recreated through the hand prosthesis in real-time.

  • ISCAS - Live Demonstration: A Wearable EIT System for Hand Prosthesis Motion Controls
    2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
    Co-Authors: Dai Jiang, Richard Bayford, Andreas Demosthenous
    Abstract:

    A wearable electrical impedance tomography (EIT) system for hand prosthesis motion control is demonstrated. The system captures the user's hand motion by measuring the impedance alterations caused by muscle and bone movement inside the forearm. These impedance data are sent to an artificial neural network for motion classification which is then used to manipulate a hand prosthesis. During the Live Demonstration, a sensor band is put on a volunteers' forearm for data acquisition. After signal processing, hand gestures learnt by the neural network can be recognized and the same hand motion can be recreated through the hand prosthesis in real-time.

  • Live Demonstration a wearable eit system using active electrodes for monitoring respiration
    International Symposium on Circuits and Systems, 2017
    Co-Authors: Dai Jiang, Richard Bayford, Andy Bardill, Serena De Gelidi, Andreas Demosthenous
    Abstract:

    A wearable electrical impedance tomography system for lung respiratory monitoring will be demonstrated. The system features an active electrode integrated circuit (IC) fabricated in 0.35-μm CMOS technology. The IC is mounted on a flexible printed circuit board which is then embedded in a textile belt. During the Live Demonstration, the belt can be put on the volunteers' chest, and through a back-end signal processing hub, the system is able to provide real-time lung respiratory images on a remote computer.

Nitish V Thakor - One of the best experts on this subject based on the ideXlab platform.

  • Live Demonstration targeted transcutaneous electrical nerve stimulation for phantom limb sensory feedback
    Biomedical Circuits and Systems Conference, 2017
    Co-Authors: Luke Osborn, Rahul R Kaliki, Joseph L Betthauser, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [1] and [2] (paper ID 7153). The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand and user to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller produces spiking information to capture the tactile signal during a grasping task. The neuromorphic tactile signal can then be used as grip force modulation [1] or for closed-loop sensory feedback as discussed in [2].

  • Live Demonstration prosthesis grip force modulation using neuromorphic tactile sensing
    International Symposium on Circuits and Systems, 2017
    Co-Authors: Luke Osborn, Harrison Nguyen, Rahul R Kaliki, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [1]. The paper ID of this submission is 1634. The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller uses the spiking information to modulate the grip force and allow the hand to grasp a delicate object.

  • Live Demonstration an adaptable prosthetic socket regulating independent air bladders through closed loop control
    International Symposium on Circuits and Systems, 2017
    Co-Authors: Daniel N Candrea, Luke Osborn, Avinash Sharma, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [l]. The paper ID of this submission is 1292. The goal of this work is to maintain specific pressures on the model residual limb (MRL) to counteract the pressure changes caused by loading/limb movement. Custom textile force sensors are embedded in between the air bladders and the socket. These force sensors communicate with the fluidic control board, which based on a proportional algorithm maintains airflow to the bladders, in response to the changing loads on the socket.

  • ISCAS - Live Demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing
    2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017
    Co-Authors: Luke Osborn, Harrison Nguyen, Rahul R Kaliki, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [1]. The paper ID of this submission is 1634. The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller uses the spiking information to modulate the grip force and allow the hand to grasp a delicate object.

  • ISCAS - Live Demonstration — An adaptable prosthetic socket: Regulating independent air bladders through closed-loop control
    2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017
    Co-Authors: Daniel N Candrea, Luke Osborn, Avinash Sharma, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [l]. The paper ID of this submission is 1292. The goal of this work is to maintain specific pressures on the model residual limb (MRL) to counteract the pressure changes caused by loading/limb movement. Custom textile force sensors are embedded in between the air bladders and the socket. These force sensors communicate with the fluidic control board, which based on a proportional algorithm maintains airflow to the bladders, in response to the changing loads on the socket.

Richard Bayford - One of the best experts on this subject based on the ideXlab platform.

  • Live Demonstration a wearable torso shape detection belt for lung respiration monitoring
    International Symposium on Circuits and Systems, 2019
    Co-Authors: Dai Jiang, Richard Bayford, Andy Bardill, Serena De Gelidi, Andreas Demosthenous
    Abstract:

    A 32 channel wearable torso shape detection belt will be demonstrated. The belt is designed to measure the torso shape of a neonate and provide real-time boundary information to assist the electrical impedance tomography (EIT) system to produce high quality lung respiration images. The system is fully integrated on a flexible printed circuit board which is encapsulated in a silicon wearable cover. During the Live Demonstration, while EIT images are reconstructed, the boundary shape can be changed to improve the image.

  • ISCAS - Live Demonstration: A Wearable Torso Shape Detection Belt for Lung Respiration Monitoring
    2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019
    Co-Authors: Dai Jiang, Richard Bayford, Andy Bardill, Serena De Gelidi, Andreas Demosthenous
    Abstract:

    A 32 channel wearable torso shape detection belt will be demonstrated. The belt is designed to measure the torso shape of a neonate and provide real-time boundary information to assist the electrical impedance tomography (EIT) system to produce high quality lung respiration images. The system is fully integrated on a flexible printed circuit board which is encapsulated in a silicon wearable cover. During the Live Demonstration, while EIT images are reconstructed, the boundary shape can be changed to improve the image.

  • Live Demonstration a wearable eit system for hand prosthesis motion controls
    International Symposium on Circuits and Systems, 2018
    Co-Authors: Dai Jiang, Richard Bayford, Andreas Demosthenous
    Abstract:

    A wearable electrical impedance tomography (EIT) system for hand prosthesis motion control is demonstrated. The system captures the user's hand motion by measuring the impedance alterations caused by muscle and bone movement inside the forearm. These impedance data are sent to an artificial neural network for motion classification which is then used to manipulate a hand prosthesis. During the Live Demonstration, a sensor band is put on a volunteers' forearm for data acquisition. After signal processing, hand gestures learnt by the neural network can be recognized and the same hand motion can be recreated through the hand prosthesis in real-time.

  • ISCAS - Live Demonstration: A Wearable EIT System for Hand Prosthesis Motion Controls
    2018 IEEE International Symposium on Circuits and Systems (ISCAS), 2018
    Co-Authors: Dai Jiang, Richard Bayford, Andreas Demosthenous
    Abstract:

    A wearable electrical impedance tomography (EIT) system for hand prosthesis motion control is demonstrated. The system captures the user's hand motion by measuring the impedance alterations caused by muscle and bone movement inside the forearm. These impedance data are sent to an artificial neural network for motion classification which is then used to manipulate a hand prosthesis. During the Live Demonstration, a sensor band is put on a volunteers' forearm for data acquisition. After signal processing, hand gestures learnt by the neural network can be recognized and the same hand motion can be recreated through the hand prosthesis in real-time.

  • Live Demonstration a wearable eit system using active electrodes for monitoring respiration
    International Symposium on Circuits and Systems, 2017
    Co-Authors: Dai Jiang, Richard Bayford, Andy Bardill, Serena De Gelidi, Andreas Demosthenous
    Abstract:

    A wearable electrical impedance tomography system for lung respiratory monitoring will be demonstrated. The system features an active electrode integrated circuit (IC) fabricated in 0.35-μm CMOS technology. The IC is mounted on a flexible printed circuit board which is then embedded in a textile belt. During the Live Demonstration, the belt can be put on the volunteers' chest, and through a back-end signal processing hub, the system is able to provide real-time lung respiratory images on a remote computer.

Luke Osborn - One of the best experts on this subject based on the ideXlab platform.

  • Live Demonstration targeted transcutaneous electrical nerve stimulation for phantom limb sensory feedback
    Biomedical Circuits and Systems Conference, 2017
    Co-Authors: Luke Osborn, Rahul R Kaliki, Joseph L Betthauser, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [1] and [2] (paper ID 7153). The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand and user to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller produces spiking information to capture the tactile signal during a grasping task. The neuromorphic tactile signal can then be used as grip force modulation [1] or for closed-loop sensory feedback as discussed in [2].

  • Live Demonstration prosthesis grip force modulation using neuromorphic tactile sensing
    International Symposium on Circuits and Systems, 2017
    Co-Authors: Luke Osborn, Harrison Nguyen, Rahul R Kaliki, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [1]. The paper ID of this submission is 1634. The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller uses the spiking information to modulate the grip force and allow the hand to grasp a delicate object.

  • Live Demonstration an adaptable prosthetic socket regulating independent air bladders through closed loop control
    International Symposium on Circuits and Systems, 2017
    Co-Authors: Daniel N Candrea, Luke Osborn, Avinash Sharma, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [l]. The paper ID of this submission is 1292. The goal of this work is to maintain specific pressures on the model residual limb (MRL) to counteract the pressure changes caused by loading/limb movement. Custom textile force sensors are embedded in between the air bladders and the socket. These force sensors communicate with the fluidic control board, which based on a proportional algorithm maintains airflow to the bladders, in response to the changing loads on the socket.

  • ISCAS - Live Demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing
    2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017
    Co-Authors: Luke Osborn, Harrison Nguyen, Rahul R Kaliki, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [1]. The paper ID of this submission is 1634. The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical Technologies, Baltimore, USA). The prosthesis grip force is used as the input to a leaky integrate and fire (LIF) with spike rate adaption neuron model to produce a tactile signal represented by spiking information, which is similar to the behavior of mechanoreceptors found in humans. The prosthesis controller uses the spiking information to modulate the grip force and allow the hand to grasp a delicate object.

  • ISCAS - Live Demonstration — An adaptable prosthetic socket: Regulating independent air bladders through closed-loop control
    2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017
    Co-Authors: Daniel N Candrea, Luke Osborn, Avinash Sharma, Nitish V Thakor
    Abstract:

    This is a Live Demonstration of the work described in [l]. The paper ID of this submission is 1292. The goal of this work is to maintain specific pressures on the model residual limb (MRL) to counteract the pressure changes caused by loading/limb movement. Custom textile force sensors are embedded in between the air bladders and the socket. These force sensors communicate with the fluidic control board, which based on a proportional algorithm maintains airflow to the bladders, in response to the changing loads on the socket.