The Experts below are selected from a list of 3309 Experts worldwide ranked by ideXlab platform

Zhong Lin Wang - One of the best experts on this subject based on the ideXlab platform.

  • auxetic foam based contact mode triboelectric nanogenerator with highly sensitive self powered strain sensing capabilities to monitor human body movement
    Advanced Functional Materials, 2017
    Co-Authors: Steven L Zhang, Xu He, Yunlong Zi, Zhong Lin Wang
    Abstract:

    The first contact-mode triboelectric self-powered strain sensor using an auxetic polyurethane foam, Conductive Fabric, and polytetrafluroethylene (PTFE) is Fabricated. Utilizing the auxetic properties of the polyurethane foam, the auxetic polyurethane foam would expand into the PTFE when the foam is stretched, causing contact electrification. Due to a larger contact area between the PTFE and the foam as the foam is stretched, this device can serve effectively as a strain sensor. The sensitivity of this method is explored, and this sensor has the highest sensitivity in all triboelectric nanogenerator devices that are used previously as a strain sensor. Different applications of this strain sensor are shown, and this sensor can be used as a human body monitoring system, self-powered scale to measure weight, and a seat belt to measure body movements inside a car seat.

  • auxetic foam based contact mode triboelectric nanogenerator with highly sensitive self powered strain sensing capabilities to monitor human body movement
    Advanced Functional Materials, 2017
    Co-Authors: Steven L Zhang, Zhong Lin Wang, Yingchih Lai, Ruiyuan Liu
    Abstract:

    The first contact-mode triboelectric self-powered strain sensor using an auxetic polyurethane foam, Conductive Fabric, and polytetrafluroethylene (PTFE) is Fabricated. Utilizing the auxetic properties of the polyurethane foam, the auxetic polyurethane foam would expand into the PTFE when the foam is stretched, causing contact electrification. Due to a larger contact area between the PTFE and the foam as the foam is stretched, this device can serve effectively as a strain sensor. The sensitivity of this method is explored, and this sensor has the highest sensitivity in all triboelectric nanogenerator devices that are used previously as a strain sensor. Different applications of this strain sensor are shown, and this sensor can be used as a human body monitoring system, self-powered scale to measure weight, and a seat belt to measure body movements inside a car seat.

Max Ortizcatalan - One of the best experts on this subject based on the ideXlab platform.

  • real time classification of non weight bearing lower limb movements using emg to facilitate phantom motor execution engineering and case study application on phantom limb pain
    Frontiers in Neurology, 2017
    Co-Authors: Eva Lendaro, Enzo Mastinu, Bo Håkansson, Max Ortizcatalan
    Abstract:

    Phantom Motor Execution (PME) facilitated by Myoelectric Pattern Recognition (MPR) and Virtual Reality (VR), is positioned to be a viable option to treat Phantom Limb Pain (PLP). A recent clinical trial using PME on upper-limb amputees with chronic intractable PLP, yielded promising results. However, further work in the area of signal acquisition is needed if such technology is to be used on subjects with lower-limb amputation. We propose two alternative electrode configurations to conventional, bipolar, targeted recordings for acquiring surface electromyography (sEMG). We evaluated their performance in a real-time MPR task for non-weight-bearing, lower-limb movements. We found that monopolar recordings using a circumferential electrode of Conductive Fabric, performed similarly to classical bipolar recordings, but were easier to use in a clinical setting. In addition, we present the first case study of a lower-limb amputee with chronic, intractable PLP treated with Phantom Motor Execution. The patient’s Pain Rating Index dropped by 22 points (from 32 to 10, 68%) after 23 Phantom Motor Execution sessions. These results represent a methodological advancement and a positive proof-of-concept of Phantom Motor Execution in lower limbs. Further work remains to be conducted for a high-evidence level clinical validation of Phantom Motor Execution as a treatment of PLP in lower-limb amputees.

  • real time classification of non weight bearing lower limb movements using emg to facilitate phantom motor execution engineering and case study application on phantom limb pain
    Frontiers in Neurology, 2017
    Co-Authors: Eva Lendaro, Enzo Mastinu, Bo Håkansson, Max Ortizcatalan
    Abstract:

    Phantom motor execution (PME), facilitated by myoelectric pattern recognition (MPR) and virtual reality (VR), is positioned to be a viable option to treat phantom limb pain (PLP). A recent clinical trial using PME on upper-limb amputees with chronic intractable PLP yielded promising results. However, further work in the area of signal acquisition is needed if such technology is to be used on subjects with lower-limb amputation. We propose two alternative electrode configurations to conventional, bipolar, targeted recordings for acquiring surface electromyography. We evaluated their performance in a real-time MPR task for non-weight-bearing, lower-limb movements. We found that monopolar recordings using a circumferential electrode of Conductive Fabric, performed similarly to classical bipolar recordings, but were easier to use in a clinical setting. In addition, we present the first case study of a lower-limb amputee with chronic, intractable PLP treated with PME. The patient's Pain Rating Index dropped by 22 points (from 32 to 10, 68%) after 23 PME sessions. These results represent a methodological advancement and a positive proof-of-concept of PME in lower limbs. Further work remains to be conducted for a high-evidence level clinical validation of PME as a treatment of PLP in lower-limb amputees.

Eva Lendaro - One of the best experts on this subject based on the ideXlab platform.

  • real time classification of non weight bearing lower limb movements using emg to facilitate phantom motor execution engineering and case study application on phantom limb pain
    Frontiers in Neurology, 2017
    Co-Authors: Eva Lendaro, Enzo Mastinu, Bo Håkansson, Max Ortizcatalan
    Abstract:

    Phantom Motor Execution (PME) facilitated by Myoelectric Pattern Recognition (MPR) and Virtual Reality (VR), is positioned to be a viable option to treat Phantom Limb Pain (PLP). A recent clinical trial using PME on upper-limb amputees with chronic intractable PLP, yielded promising results. However, further work in the area of signal acquisition is needed if such technology is to be used on subjects with lower-limb amputation. We propose two alternative electrode configurations to conventional, bipolar, targeted recordings for acquiring surface electromyography (sEMG). We evaluated their performance in a real-time MPR task for non-weight-bearing, lower-limb movements. We found that monopolar recordings using a circumferential electrode of Conductive Fabric, performed similarly to classical bipolar recordings, but were easier to use in a clinical setting. In addition, we present the first case study of a lower-limb amputee with chronic, intractable PLP treated with Phantom Motor Execution. The patient’s Pain Rating Index dropped by 22 points (from 32 to 10, 68%) after 23 Phantom Motor Execution sessions. These results represent a methodological advancement and a positive proof-of-concept of Phantom Motor Execution in lower limbs. Further work remains to be conducted for a high-evidence level clinical validation of Phantom Motor Execution as a treatment of PLP in lower-limb amputees.

  • real time classification of non weight bearing lower limb movements using emg to facilitate phantom motor execution engineering and case study application on phantom limb pain
    Frontiers in Neurology, 2017
    Co-Authors: Eva Lendaro, Enzo Mastinu, Bo Håkansson, Max Ortizcatalan
    Abstract:

    Phantom motor execution (PME), facilitated by myoelectric pattern recognition (MPR) and virtual reality (VR), is positioned to be a viable option to treat phantom limb pain (PLP). A recent clinical trial using PME on upper-limb amputees with chronic intractable PLP yielded promising results. However, further work in the area of signal acquisition is needed if such technology is to be used on subjects with lower-limb amputation. We propose two alternative electrode configurations to conventional, bipolar, targeted recordings for acquiring surface electromyography. We evaluated their performance in a real-time MPR task for non-weight-bearing, lower-limb movements. We found that monopolar recordings using a circumferential electrode of Conductive Fabric, performed similarly to classical bipolar recordings, but were easier to use in a clinical setting. In addition, we present the first case study of a lower-limb amputee with chronic, intractable PLP treated with PME. The patient's Pain Rating Index dropped by 22 points (from 32 to 10, 68%) after 23 PME sessions. These results represent a methodological advancement and a positive proof-of-concept of PME in lower limbs. Further work remains to be conducted for a high-evidence level clinical validation of PME as a treatment of PLP in lower-limb amputees.

Steven L Zhang - One of the best experts on this subject based on the ideXlab platform.

  • auxetic foam based contact mode triboelectric nanogenerator with highly sensitive self powered strain sensing capabilities to monitor human body movement
    Advanced Functional Materials, 2017
    Co-Authors: Steven L Zhang, Xu He, Yunlong Zi, Zhong Lin Wang
    Abstract:

    The first contact-mode triboelectric self-powered strain sensor using an auxetic polyurethane foam, Conductive Fabric, and polytetrafluroethylene (PTFE) is Fabricated. Utilizing the auxetic properties of the polyurethane foam, the auxetic polyurethane foam would expand into the PTFE when the foam is stretched, causing contact electrification. Due to a larger contact area between the PTFE and the foam as the foam is stretched, this device can serve effectively as a strain sensor. The sensitivity of this method is explored, and this sensor has the highest sensitivity in all triboelectric nanogenerator devices that are used previously as a strain sensor. Different applications of this strain sensor are shown, and this sensor can be used as a human body monitoring system, self-powered scale to measure weight, and a seat belt to measure body movements inside a car seat.

  • auxetic foam based contact mode triboelectric nanogenerator with highly sensitive self powered strain sensing capabilities to monitor human body movement
    Advanced Functional Materials, 2017
    Co-Authors: Steven L Zhang, Zhong Lin Wang, Yingchih Lai, Ruiyuan Liu
    Abstract:

    The first contact-mode triboelectric self-powered strain sensor using an auxetic polyurethane foam, Conductive Fabric, and polytetrafluroethylene (PTFE) is Fabricated. Utilizing the auxetic properties of the polyurethane foam, the auxetic polyurethane foam would expand into the PTFE when the foam is stretched, causing contact electrification. Due to a larger contact area between the PTFE and the foam as the foam is stretched, this device can serve effectively as a strain sensor. The sensitivity of this method is explored, and this sensor has the highest sensitivity in all triboelectric nanogenerator devices that are used previously as a strain sensor. Different applications of this strain sensor are shown, and this sensor can be used as a human body monitoring system, self-powered scale to measure weight, and a seat belt to measure body movements inside a car seat.

Bo Håkansson - One of the best experts on this subject based on the ideXlab platform.

  • real time classification of non weight bearing lower limb movements using emg to facilitate phantom motor execution engineering and case study application on phantom limb pain
    Frontiers in Neurology, 2017
    Co-Authors: Eva Lendaro, Enzo Mastinu, Bo Håkansson, Max Ortizcatalan
    Abstract:

    Phantom Motor Execution (PME) facilitated by Myoelectric Pattern Recognition (MPR) and Virtual Reality (VR), is positioned to be a viable option to treat Phantom Limb Pain (PLP). A recent clinical trial using PME on upper-limb amputees with chronic intractable PLP, yielded promising results. However, further work in the area of signal acquisition is needed if such technology is to be used on subjects with lower-limb amputation. We propose two alternative electrode configurations to conventional, bipolar, targeted recordings for acquiring surface electromyography (sEMG). We evaluated their performance in a real-time MPR task for non-weight-bearing, lower-limb movements. We found that monopolar recordings using a circumferential electrode of Conductive Fabric, performed similarly to classical bipolar recordings, but were easier to use in a clinical setting. In addition, we present the first case study of a lower-limb amputee with chronic, intractable PLP treated with Phantom Motor Execution. The patient’s Pain Rating Index dropped by 22 points (from 32 to 10, 68%) after 23 Phantom Motor Execution sessions. These results represent a methodological advancement and a positive proof-of-concept of Phantom Motor Execution in lower limbs. Further work remains to be conducted for a high-evidence level clinical validation of Phantom Motor Execution as a treatment of PLP in lower-limb amputees.

  • real time classification of non weight bearing lower limb movements using emg to facilitate phantom motor execution engineering and case study application on phantom limb pain
    Frontiers in Neurology, 2017
    Co-Authors: Eva Lendaro, Enzo Mastinu, Bo Håkansson, Max Ortizcatalan
    Abstract:

    Phantom motor execution (PME), facilitated by myoelectric pattern recognition (MPR) and virtual reality (VR), is positioned to be a viable option to treat phantom limb pain (PLP). A recent clinical trial using PME on upper-limb amputees with chronic intractable PLP yielded promising results. However, further work in the area of signal acquisition is needed if such technology is to be used on subjects with lower-limb amputation. We propose two alternative electrode configurations to conventional, bipolar, targeted recordings for acquiring surface electromyography. We evaluated their performance in a real-time MPR task for non-weight-bearing, lower-limb movements. We found that monopolar recordings using a circumferential electrode of Conductive Fabric, performed similarly to classical bipolar recordings, but were easier to use in a clinical setting. In addition, we present the first case study of a lower-limb amputee with chronic, intractable PLP treated with PME. The patient's Pain Rating Index dropped by 22 points (from 32 to 10, 68%) after 23 PME sessions. These results represent a methodological advancement and a positive proof-of-concept of PME in lower limbs. Further work remains to be conducted for a high-evidence level clinical validation of PME as a treatment of PLP in lower-limb amputees.