Wu, L C; Zarnescu, L; Nangia, V; Cam, B; Camarillo, D B
A head impact detection system using SVM classification and proximity sensing in an instrumented mouthguard Journal Article
In: IEEE Transactions on Biomedical Engineering, vol. 61, no. 11, pp. 2659–2668, 2014.
Abstract | BibTeX | Tags: *Biomechanical Phenomena/ph [Physiology], *Head/ph [Physiology], *Monitoring, *Mouth Protectors, *Support Vector Machine, Acceleration, Accelerometry/is [Instrumentation], Ambulatory/is [Instrumentation], Ambulatory/mt [Methods], Closed, Computer-Assisted/is [Instrumen, football, Head Injuries, Humans, Infrared Rays, Monitoring, Reproducibility of Results, Sensitivity and Specificity, Signal Processing
@article{Wu2014,
title = {A head impact detection system using SVM classification and proximity sensing in an instrumented mouthguard},
author = {Wu, L C and Zarnescu, L and Nangia, V and Cam, B and Camarillo, D B},
year = {2014},
date = {2014-01-01},
journal = {IEEE Transactions on Biomedical Engineering},
volume = {61},
number = {11},
pages = {2659--2668},
abstract = {Injury from blunt head impacts causes acute neurological deficits and may lead to chronic neurodegeneration. A head impact detection device can serve both as a research tool for studying head injury mechanisms and a clinical tool for real-time trauma screening. The simplest approach is an acceleration thresholding algorithm, which may falsely detect high-acceleration spurious events such as manual manipulation of the device. We designed a head impact detection system that distinguishes head impacts from nonimpacts through two subsystems. First, we use infrared proximity sensing to determine if the mouthguard is worn on the teeth to filter out all off-teeth events. Second, on-teeth, nonimpact events are rejected using a support vector machine classifier trained on frequency domain features of linear acceleration and rotational velocity. The remaining events are classified as head impacts. In a controlled laboratory evaluation, the present system performed substantially better than a 10-g acceleration threshold in head impact detection (98% sensitivity, 99.99% specificity, 99% accuracy, and 99.98% precision, compared to 92% sensitivity, 58% specificity, 65% accuracy, and 37% precision). Once adapted for field deployment by training and validation with field data, this system has the potential to effectively detect head trauma in sports, military service, and other high-risk activities.},
keywords = {*Biomechanical Phenomena/ph [Physiology], *Head/ph [Physiology], *Monitoring, *Mouth Protectors, *Support Vector Machine, Acceleration, Accelerometry/is [Instrumentation], Ambulatory/is [Instrumentation], Ambulatory/mt [Methods], Closed, Computer-Assisted/is [Instrumen, football, Head Injuries, Humans, Infrared Rays, Monitoring, Reproducibility of Results, Sensitivity and Specificity, Signal Processing},
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Ambekar, D; Al-Deneh, Z; Dao, T; Dziech, A L; Subbian, V; Beyette Jr., F R
Development of a point-of-care medical device to measure head impact in contact sports Journal Article
In: Conference Proceedings: ... Annual International Conference of the IEEE Engineering in Medicine & Biology Society, vol. 2013, pp. 4167–4170, 2013.
Abstract | BibTeX | Tags: *Accelerometry/is [Instrumentation], *Head Movements/ph [Physiology], *Models, *Monitoring, *Sports Equipment, *Wireless Technology/is [Instrumentation], Ambulatory/is [Instrumentation], Biological, Biomechanical Phenomena/ph [Physiology], Humans, Point-of-Care Systems, Sports
@article{Ambekar2013,
title = {Development of a point-of-care medical device to measure head impact in contact sports},
author = {Ambekar, D and Al-Deneh, Z and Dao, T and Dziech, A L and Subbian, V and {Beyette Jr.}, F R},
year = {2013},
date = {2013-01-01},
journal = {Conference Proceedings: ... Annual International Conference of the IEEE Engineering in Medicine \& Biology Society},
volume = {2013},
pages = {4167--4170},
abstract = {This paper presents a prototype of a wireless, point-of-care medical device to measure head impacts in contact or collision sports. The device is currently capable of measuring linear acceleration, time, and the duration of impact. The location of the impact can also be recorded by scaling the prototype design to multiple devices. An experimental apparatus was built to simulate head impacts and to verify the data from the device. Preliminary results show that the biomechanical measures from the device are sufficiently accurate.},
keywords = {*Accelerometry/is [Instrumentation], *Head Movements/ph [Physiology], *Models, *Monitoring, *Sports Equipment, *Wireless Technology/is [Instrumentation], Ambulatory/is [Instrumentation], Biological, Biomechanical Phenomena/ph [Physiology], Humans, Point-of-Care Systems, Sports},
pubstate = {published},
tppubtype = {article}
}
Wu, L C; Zarnescu, L; Nangia, V; Cam, B; Camarillo, D B
A head impact detection system using SVM classification and proximity sensing in an instrumented mouthguard Journal Article
In: IEEE Transactions on Biomedical Engineering, vol. 61, no. 11, pp. 2659–2668, 2014.
@article{Wu2014,
title = {A head impact detection system using SVM classification and proximity sensing in an instrumented mouthguard},
author = {Wu, L C and Zarnescu, L and Nangia, V and Cam, B and Camarillo, D B},
year = {2014},
date = {2014-01-01},
journal = {IEEE Transactions on Biomedical Engineering},
volume = {61},
number = {11},
pages = {2659--2668},
abstract = {Injury from blunt head impacts causes acute neurological deficits and may lead to chronic neurodegeneration. A head impact detection device can serve both as a research tool for studying head injury mechanisms and a clinical tool for real-time trauma screening. The simplest approach is an acceleration thresholding algorithm, which may falsely detect high-acceleration spurious events such as manual manipulation of the device. We designed a head impact detection system that distinguishes head impacts from nonimpacts through two subsystems. First, we use infrared proximity sensing to determine if the mouthguard is worn on the teeth to filter out all off-teeth events. Second, on-teeth, nonimpact events are rejected using a support vector machine classifier trained on frequency domain features of linear acceleration and rotational velocity. The remaining events are classified as head impacts. In a controlled laboratory evaluation, the present system performed substantially better than a 10-g acceleration threshold in head impact detection (98% sensitivity, 99.99% specificity, 99% accuracy, and 99.98% precision, compared to 92% sensitivity, 58% specificity, 65% accuracy, and 37% precision). Once adapted for field deployment by training and validation with field data, this system has the potential to effectively detect head trauma in sports, military service, and other high-risk activities.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ambekar, D; Al-Deneh, Z; Dao, T; Dziech, A L; Subbian, V; Beyette Jr., F R
Development of a point-of-care medical device to measure head impact in contact sports Journal Article
In: Conference Proceedings: ... Annual International Conference of the IEEE Engineering in Medicine & Biology Society, vol. 2013, pp. 4167–4170, 2013.
@article{Ambekar2013,
title = {Development of a point-of-care medical device to measure head impact in contact sports},
author = {Ambekar, D and Al-Deneh, Z and Dao, T and Dziech, A L and Subbian, V and {Beyette Jr.}, F R},
year = {2013},
date = {2013-01-01},
journal = {Conference Proceedings: ... Annual International Conference of the IEEE Engineering in Medicine \& Biology Society},
volume = {2013},
pages = {4167--4170},
abstract = {This paper presents a prototype of a wireless, point-of-care medical device to measure head impacts in contact or collision sports. The device is currently capable of measuring linear acceleration, time, and the duration of impact. The location of the impact can also be recorded by scaling the prototype design to multiple devices. An experimental apparatus was built to simulate head impacts and to verify the data from the device. Preliminary results show that the biomechanical measures from the device are sufficiently accurate.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Wu, L C; Zarnescu, L; Nangia, V; Cam, B; Camarillo, D B
A head impact detection system using SVM classification and proximity sensing in an instrumented mouthguard Journal Article
In: IEEE Transactions on Biomedical Engineering, vol. 61, no. 11, pp. 2659–2668, 2014.
Abstract | BibTeX | Tags: *Biomechanical Phenomena/ph [Physiology], *Head/ph [Physiology], *Monitoring, *Mouth Protectors, *Support Vector Machine, Acceleration, Accelerometry/is [Instrumentation], Ambulatory/is [Instrumentation], Ambulatory/mt [Methods], Closed, Computer-Assisted/is [Instrumen, football, Head Injuries, Humans, Infrared Rays, Monitoring, Reproducibility of Results, Sensitivity and Specificity, Signal Processing
@article{Wu2014,
title = {A head impact detection system using SVM classification and proximity sensing in an instrumented mouthguard},
author = {Wu, L C and Zarnescu, L and Nangia, V and Cam, B and Camarillo, D B},
year = {2014},
date = {2014-01-01},
journal = {IEEE Transactions on Biomedical Engineering},
volume = {61},
number = {11},
pages = {2659--2668},
abstract = {Injury from blunt head impacts causes acute neurological deficits and may lead to chronic neurodegeneration. A head impact detection device can serve both as a research tool for studying head injury mechanisms and a clinical tool for real-time trauma screening. The simplest approach is an acceleration thresholding algorithm, which may falsely detect high-acceleration spurious events such as manual manipulation of the device. We designed a head impact detection system that distinguishes head impacts from nonimpacts through two subsystems. First, we use infrared proximity sensing to determine if the mouthguard is worn on the teeth to filter out all off-teeth events. Second, on-teeth, nonimpact events are rejected using a support vector machine classifier trained on frequency domain features of linear acceleration and rotational velocity. The remaining events are classified as head impacts. In a controlled laboratory evaluation, the present system performed substantially better than a 10-g acceleration threshold in head impact detection (98% sensitivity, 99.99% specificity, 99% accuracy, and 99.98% precision, compared to 92% sensitivity, 58% specificity, 65% accuracy, and 37% precision). Once adapted for field deployment by training and validation with field data, this system has the potential to effectively detect head trauma in sports, military service, and other high-risk activities.},
keywords = {*Biomechanical Phenomena/ph [Physiology], *Head/ph [Physiology], *Monitoring, *Mouth Protectors, *Support Vector Machine, Acceleration, Accelerometry/is [Instrumentation], Ambulatory/is [Instrumentation], Ambulatory/mt [Methods], Closed, Computer-Assisted/is [Instrumen, football, Head Injuries, Humans, Infrared Rays, Monitoring, Reproducibility of Results, Sensitivity and Specificity, Signal Processing},
pubstate = {published},
tppubtype = {article}
}
Ambekar, D; Al-Deneh, Z; Dao, T; Dziech, A L; Subbian, V; Beyette Jr., F R
Development of a point-of-care medical device to measure head impact in contact sports Journal Article
In: Conference Proceedings: ... Annual International Conference of the IEEE Engineering in Medicine & Biology Society, vol. 2013, pp. 4167–4170, 2013.
Abstract | BibTeX | Tags: *Accelerometry/is [Instrumentation], *Head Movements/ph [Physiology], *Models, *Monitoring, *Sports Equipment, *Wireless Technology/is [Instrumentation], Ambulatory/is [Instrumentation], Biological, Biomechanical Phenomena/ph [Physiology], Humans, Point-of-Care Systems, Sports
@article{Ambekar2013,
title = {Development of a point-of-care medical device to measure head impact in contact sports},
author = {Ambekar, D and Al-Deneh, Z and Dao, T and Dziech, A L and Subbian, V and {Beyette Jr.}, F R},
year = {2013},
date = {2013-01-01},
journal = {Conference Proceedings: ... Annual International Conference of the IEEE Engineering in Medicine \& Biology Society},
volume = {2013},
pages = {4167--4170},
abstract = {This paper presents a prototype of a wireless, point-of-care medical device to measure head impacts in contact or collision sports. The device is currently capable of measuring linear acceleration, time, and the duration of impact. The location of the impact can also be recorded by scaling the prototype design to multiple devices. An experimental apparatus was built to simulate head impacts and to verify the data from the device. Preliminary results show that the biomechanical measures from the device are sufficiently accurate.},
keywords = {*Accelerometry/is [Instrumentation], *Head Movements/ph [Physiology], *Models, *Monitoring, *Sports Equipment, *Wireless Technology/is [Instrumentation], Ambulatory/is [Instrumentation], Biological, Biomechanical Phenomena/ph [Physiology], Humans, Point-of-Care Systems, Sports},
pubstate = {published},
tppubtype = {article}
}