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Biomedical signal processing

The intrinsic value of HFO features as a biomarker of epileptic activity

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Authors:
SV Gliske, WC Stacey, KR Moon, AO Hero III
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4 April 2016 - 11:56am
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[1] SV Gliske, WC Stacey, KR Moon, AO Hero III, "The intrinsic value of HFO features as a biomarker of epileptic activity", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1084. Accessed: Apr. 25, 2019.
@article{1084-16,
url = {http://sigport.org/1084},
author = {SV Gliske; WC Stacey; KR Moon; AO Hero III },
publisher = {IEEE SigPort},
title = {The intrinsic value of HFO features as a biomarker of epileptic activity},
year = {2016} }
TY - EJOUR
T1 - The intrinsic value of HFO features as a biomarker of epileptic activity
AU - SV Gliske; WC Stacey; KR Moon; AO Hero III
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1084
ER -
SV Gliske, WC Stacey, KR Moon, AO Hero III. (2016). The intrinsic value of HFO features as a biomarker of epileptic activity. IEEE SigPort. http://sigport.org/1084
SV Gliske, WC Stacey, KR Moon, AO Hero III, 2016. The intrinsic value of HFO features as a biomarker of epileptic activity. Available at: http://sigport.org/1084.
SV Gliske, WC Stacey, KR Moon, AO Hero III. (2016). "The intrinsic value of HFO features as a biomarker of epileptic activity." Web.
1. SV Gliske, WC Stacey, KR Moon, AO Hero III. The intrinsic value of HFO features as a biomarker of epileptic activity [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1084

CLASSIFICATION OF BISYLLABIC LEXICAL STRESS PATTERNS IN DISORDERED SPEECH USING DEEP LEARNING

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Authors:
Mostafa Shahin, Ricardo Gutierrez-Osuna, Beena Ahmed
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31 March 2016 - 7:04am
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[1] Mostafa Shahin, Ricardo Gutierrez-Osuna, Beena Ahmed, "CLASSIFICATION OF BISYLLABIC LEXICAL STRESS PATTERNS IN DISORDERED SPEECH USING DEEP LEARNING", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1076. Accessed: Apr. 25, 2019.
@article{1076-16,
url = {http://sigport.org/1076},
author = {Mostafa Shahin; Ricardo Gutierrez-Osuna; Beena Ahmed },
publisher = {IEEE SigPort},
title = {CLASSIFICATION OF BISYLLABIC LEXICAL STRESS PATTERNS IN DISORDERED SPEECH USING DEEP LEARNING},
year = {2016} }
TY - EJOUR
T1 - CLASSIFICATION OF BISYLLABIC LEXICAL STRESS PATTERNS IN DISORDERED SPEECH USING DEEP LEARNING
AU - Mostafa Shahin; Ricardo Gutierrez-Osuna; Beena Ahmed
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1076
ER -
Mostafa Shahin, Ricardo Gutierrez-Osuna, Beena Ahmed. (2016). CLASSIFICATION OF BISYLLABIC LEXICAL STRESS PATTERNS IN DISORDERED SPEECH USING DEEP LEARNING. IEEE SigPort. http://sigport.org/1076
Mostafa Shahin, Ricardo Gutierrez-Osuna, Beena Ahmed, 2016. CLASSIFICATION OF BISYLLABIC LEXICAL STRESS PATTERNS IN DISORDERED SPEECH USING DEEP LEARNING. Available at: http://sigport.org/1076.
Mostafa Shahin, Ricardo Gutierrez-Osuna, Beena Ahmed. (2016). "CLASSIFICATION OF BISYLLABIC LEXICAL STRESS PATTERNS IN DISORDERED SPEECH USING DEEP LEARNING." Web.
1. Mostafa Shahin, Ricardo Gutierrez-Osuna, Beena Ahmed. CLASSIFICATION OF BISYLLABIC LEXICAL STRESS PATTERNS IN DISORDERED SPEECH USING DEEP LEARNING [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1076

AN ALTERNATIVE APPROACH FOR AUDITORY ATTENTION TRACKING USING SINGLE-TRIAL EEG


Auditory selective attention plays a central role in the human capacity to reliably process complex sounds in multi-source environments. Stimulus reconstruction has been widely used for the investigation of selective auditory attention using multichannel electroencephalography (EEG). In particular, the influence of attention on sound representations in the brain has been modeled by linear time-variant filters and have been used to track the attentional state of individuals in multi-source environments.

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Authors:
Bradley Ekin, Les Atlas, Majid Mirbagheri, Adrian KC Lee
Submitted On:
28 March 2016 - 1:43pm
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[1] Bradley Ekin, Les Atlas, Majid Mirbagheri, Adrian KC Lee, "AN ALTERNATIVE APPROACH FOR AUDITORY ATTENTION TRACKING USING SINGLE-TRIAL EEG", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1059. Accessed: Apr. 25, 2019.
@article{1059-16,
url = {http://sigport.org/1059},
author = {Bradley Ekin; Les Atlas; Majid Mirbagheri; Adrian KC Lee },
publisher = {IEEE SigPort},
title = {AN ALTERNATIVE APPROACH FOR AUDITORY ATTENTION TRACKING USING SINGLE-TRIAL EEG},
year = {2016} }
TY - EJOUR
T1 - AN ALTERNATIVE APPROACH FOR AUDITORY ATTENTION TRACKING USING SINGLE-TRIAL EEG
AU - Bradley Ekin; Les Atlas; Majid Mirbagheri; Adrian KC Lee
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1059
ER -
Bradley Ekin, Les Atlas, Majid Mirbagheri, Adrian KC Lee. (2016). AN ALTERNATIVE APPROACH FOR AUDITORY ATTENTION TRACKING USING SINGLE-TRIAL EEG. IEEE SigPort. http://sigport.org/1059
Bradley Ekin, Les Atlas, Majid Mirbagheri, Adrian KC Lee, 2016. AN ALTERNATIVE APPROACH FOR AUDITORY ATTENTION TRACKING USING SINGLE-TRIAL EEG. Available at: http://sigport.org/1059.
Bradley Ekin, Les Atlas, Majid Mirbagheri, Adrian KC Lee. (2016). "AN ALTERNATIVE APPROACH FOR AUDITORY ATTENTION TRACKING USING SINGLE-TRIAL EEG." Web.
1. Bradley Ekin, Les Atlas, Majid Mirbagheri, Adrian KC Lee. AN ALTERNATIVE APPROACH FOR AUDITORY ATTENTION TRACKING USING SINGLE-TRIAL EEG [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1059

Classification Of Respiratory Effort And Disordered Breathing During Sleep From Audio and Pulse Oximetry Signals


Sleep-disordered breathing (SDB) is a highly prevalent condition associated with many adverse health problems. As the current means of diagnosis (polysomnography) is obtrusive and ill-suited for mass screening of the population, we explore a minimal-contact, automatic approach that uses acoustics-based methods in conjunction with pulse oximetry. We present a two-stage method for automatically classifying breathing sounds produced during sleep to track respiratory effort and predicting disordered breathing events using respiratory effort durations and oxygen desaturations.

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Authors:
Brian R. Snider, Alexander Kain
Submitted On:
25 March 2016 - 1:09am
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[1] Brian R. Snider, Alexander Kain, "Classification Of Respiratory Effort And Disordered Breathing During Sleep From Audio and Pulse Oximetry Signals", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1042. Accessed: Apr. 25, 2019.
@article{1042-16,
url = {http://sigport.org/1042},
author = {Brian R. Snider; Alexander Kain },
publisher = {IEEE SigPort},
title = {Classification Of Respiratory Effort And Disordered Breathing During Sleep From Audio and Pulse Oximetry Signals},
year = {2016} }
TY - EJOUR
T1 - Classification Of Respiratory Effort And Disordered Breathing During Sleep From Audio and Pulse Oximetry Signals
AU - Brian R. Snider; Alexander Kain
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1042
ER -
Brian R. Snider, Alexander Kain. (2016). Classification Of Respiratory Effort And Disordered Breathing During Sleep From Audio and Pulse Oximetry Signals. IEEE SigPort. http://sigport.org/1042
Brian R. Snider, Alexander Kain, 2016. Classification Of Respiratory Effort And Disordered Breathing During Sleep From Audio and Pulse Oximetry Signals. Available at: http://sigport.org/1042.
Brian R. Snider, Alexander Kain. (2016). "Classification Of Respiratory Effort And Disordered Breathing During Sleep From Audio and Pulse Oximetry Signals." Web.
1. Brian R. Snider, Alexander Kain. Classification Of Respiratory Effort And Disordered Breathing During Sleep From Audio and Pulse Oximetry Signals [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1042

A METROPOLIS-WITHIN-GIBBS SAMPLER TO INFER TASK-BASED FUNCTIONAL BRAIN CONNECTIVITY

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Authors:
M Faizan Ahmad, James Murphy, Deniz Vatansever, Emmanuel A Stamatakis, Simon Godsill
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21 March 2016 - 4:34am
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[1] M Faizan Ahmad, James Murphy, Deniz Vatansever, Emmanuel A Stamatakis, Simon Godsill, "A METROPOLIS-WITHIN-GIBBS SAMPLER TO INFER TASK-BASED FUNCTIONAL BRAIN CONNECTIVITY", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/915. Accessed: Apr. 25, 2019.
@article{915-16,
url = {http://sigport.org/915},
author = {M Faizan Ahmad; James Murphy; Deniz Vatansever; Emmanuel A Stamatakis; Simon Godsill },
publisher = {IEEE SigPort},
title = {A METROPOLIS-WITHIN-GIBBS SAMPLER TO INFER TASK-BASED FUNCTIONAL BRAIN CONNECTIVITY},
year = {2016} }
TY - EJOUR
T1 - A METROPOLIS-WITHIN-GIBBS SAMPLER TO INFER TASK-BASED FUNCTIONAL BRAIN CONNECTIVITY
AU - M Faizan Ahmad; James Murphy; Deniz Vatansever; Emmanuel A Stamatakis; Simon Godsill
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/915
ER -
M Faizan Ahmad, James Murphy, Deniz Vatansever, Emmanuel A Stamatakis, Simon Godsill. (2016). A METROPOLIS-WITHIN-GIBBS SAMPLER TO INFER TASK-BASED FUNCTIONAL BRAIN CONNECTIVITY. IEEE SigPort. http://sigport.org/915
M Faizan Ahmad, James Murphy, Deniz Vatansever, Emmanuel A Stamatakis, Simon Godsill, 2016. A METROPOLIS-WITHIN-GIBBS SAMPLER TO INFER TASK-BASED FUNCTIONAL BRAIN CONNECTIVITY. Available at: http://sigport.org/915.
M Faizan Ahmad, James Murphy, Deniz Vatansever, Emmanuel A Stamatakis, Simon Godsill. (2016). "A METROPOLIS-WITHIN-GIBBS SAMPLER TO INFER TASK-BASED FUNCTIONAL BRAIN CONNECTIVITY." Web.
1. M Faizan Ahmad, James Murphy, Deniz Vatansever, Emmanuel A Stamatakis, Simon Godsill. A METROPOLIS-WITHIN-GIBBS SAMPLER TO INFER TASK-BASED FUNCTIONAL BRAIN CONNECTIVITY [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/915

MISPT - Heart Rate Monitoring from PPG


We propose a multiple initialization based spectral peak tracking (MISPT) technique for heart rate monitoring from
photoplethysmography (PPG) signal.MISPT is applied on the PPG signal after removing the motion artifact using an adaptive noise cancellation filter. MISPT yields several estimates of the heart rate trajectory from the spectrogram of the denoised PPG signal which are finally combined using a novel measure called
trajectory strength. Multiple initializations help in correcting

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Authors:
Pavan, Pradyumna, Vijitha, Prasanta Ghosh
Submitted On:
20 March 2016 - 6:40am
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[1] Pavan, Pradyumna, Vijitha, Prasanta Ghosh, "MISPT - Heart Rate Monitoring from PPG", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/866. Accessed: Apr. 25, 2019.
@article{866-16,
url = {http://sigport.org/866},
author = {Pavan; Pradyumna; Vijitha; Prasanta Ghosh },
publisher = {IEEE SigPort},
title = {MISPT - Heart Rate Monitoring from PPG},
year = {2016} }
TY - EJOUR
T1 - MISPT - Heart Rate Monitoring from PPG
AU - Pavan; Pradyumna; Vijitha; Prasanta Ghosh
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/866
ER -
Pavan, Pradyumna, Vijitha, Prasanta Ghosh. (2016). MISPT - Heart Rate Monitoring from PPG. IEEE SigPort. http://sigport.org/866
Pavan, Pradyumna, Vijitha, Prasanta Ghosh, 2016. MISPT - Heart Rate Monitoring from PPG. Available at: http://sigport.org/866.
Pavan, Pradyumna, Vijitha, Prasanta Ghosh. (2016). "MISPT - Heart Rate Monitoring from PPG." Web.
1. Pavan, Pradyumna, Vijitha, Prasanta Ghosh. MISPT - Heart Rate Monitoring from PPG [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/866

AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING

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Authors:
Kai XU, Yixing Li, Fengbo Ren
Submitted On:
19 March 2016 - 9:10pm
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[1] Kai XU, Yixing Li, Fengbo Ren, "AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/846. Accessed: Apr. 25, 2019.
@article{846-16,
url = {http://sigport.org/846},
author = {Kai XU; Yixing Li; Fengbo Ren },
publisher = {IEEE SigPort},
title = {AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING },
year = {2016} }
TY - EJOUR
T1 - AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING
AU - Kai XU; Yixing Li; Fengbo Ren
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/846
ER -
Kai XU, Yixing Li, Fengbo Ren. (2016). AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING . IEEE SigPort. http://sigport.org/846
Kai XU, Yixing Li, Fengbo Ren, 2016. AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING . Available at: http://sigport.org/846.
Kai XU, Yixing Li, Fengbo Ren. (2016). "AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING ." Web.
1. Kai XU, Yixing Li, Fengbo Ren. AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/846

AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING

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Authors:
Kai XU, Yixing Li, Fengbo Ren
Submitted On:
19 March 2016 - 9:10pm
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[1] Kai XU, Yixing Li, Fengbo Ren, "AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/845. Accessed: Apr. 25, 2019.
@article{845-16,
url = {http://sigport.org/845},
author = {Kai XU; Yixing Li; Fengbo Ren },
publisher = {IEEE SigPort},
title = {AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING },
year = {2016} }
TY - EJOUR
T1 - AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING
AU - Kai XU; Yixing Li; Fengbo Ren
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/845
ER -
Kai XU, Yixing Li, Fengbo Ren. (2016). AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING . IEEE SigPort. http://sigport.org/845
Kai XU, Yixing Li, Fengbo Ren, 2016. AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING . Available at: http://sigport.org/845.
Kai XU, Yixing Li, Fengbo Ren. (2016). "AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING ." Web.
1. Kai XU, Yixing Li, Fengbo Ren. AN ENERGY-EFFICIENT COMPRESSIVE SENSING FRAMEWORK INCORPORATING ONLINE DICTIONARY LEARNING FOR LONG-TERM WIRELESS HEALTH MONITORING [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/845

A New Approach for Heart Rate Monitoring using Photoplethysmography Signals Contaminated by MotionArtifacts


We considered the problem of accurately estimating the heart rate (HR) using photoplethysmography (PPG) signals that are contaminated by motion artifacts (MA). A novel HR estimation approach based on GRidless spectral Estimation and SVM-based peak Selection, denoted by GRESS, was proposed. It first obtained the sparse spectrum of PPG using a continuous dictionary, then a simple spectral subtraction step was adopted to remove MA, finally an SVM-based method was developed to select the spectral peak corresponding to HR.

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Authors:
Zhilin Zhang
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19 March 2016 - 8:30am
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[1] Zhilin Zhang, "A New Approach for Heart Rate Monitoring using Photoplethysmography Signals Contaminated by MotionArtifacts", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/805. Accessed: Apr. 25, 2019.
@article{805-16,
url = {http://sigport.org/805},
author = {Zhilin Zhang },
publisher = {IEEE SigPort},
title = {A New Approach for Heart Rate Monitoring using Photoplethysmography Signals Contaminated by MotionArtifacts},
year = {2016} }
TY - EJOUR
T1 - A New Approach for Heart Rate Monitoring using Photoplethysmography Signals Contaminated by MotionArtifacts
AU - Zhilin Zhang
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/805
ER -
Zhilin Zhang. (2016). A New Approach for Heart Rate Monitoring using Photoplethysmography Signals Contaminated by MotionArtifacts. IEEE SigPort. http://sigport.org/805
Zhilin Zhang, 2016. A New Approach for Heart Rate Monitoring using Photoplethysmography Signals Contaminated by MotionArtifacts. Available at: http://sigport.org/805.
Zhilin Zhang. (2016). "A New Approach for Heart Rate Monitoring using Photoplethysmography Signals Contaminated by MotionArtifacts." Web.
1. Zhilin Zhang. A New Approach for Heart Rate Monitoring using Photoplethysmography Signals Contaminated by MotionArtifacts [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/805

QUANTIFICATION OF BALANCE IN SINGLE LIMB STANCE USING KINECT


Poster for the work titled - "QUANTIFICATION OF BALANCE IN SINGLE LIMB STANCE USING KINECT".

Paper Details

Authors:
Kingshuk Chakravarty, Suraj Suman, Brojeshwar Bhowmick, Aniruddha Sinha, Abhijit Das
Submitted On:
19 March 2016 - 7:51am
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[1] Kingshuk Chakravarty, Suraj Suman, Brojeshwar Bhowmick, Aniruddha Sinha, Abhijit Das, "QUANTIFICATION OF BALANCE IN SINGLE LIMB STANCE USING KINECT", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/803. Accessed: Apr. 25, 2019.
@article{803-16,
url = {http://sigport.org/803},
author = {Kingshuk Chakravarty; Suraj Suman; Brojeshwar Bhowmick; Aniruddha Sinha; Abhijit Das },
publisher = {IEEE SigPort},
title = {QUANTIFICATION OF BALANCE IN SINGLE LIMB STANCE USING KINECT},
year = {2016} }
TY - EJOUR
T1 - QUANTIFICATION OF BALANCE IN SINGLE LIMB STANCE USING KINECT
AU - Kingshuk Chakravarty; Suraj Suman; Brojeshwar Bhowmick; Aniruddha Sinha; Abhijit Das
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/803
ER -
Kingshuk Chakravarty, Suraj Suman, Brojeshwar Bhowmick, Aniruddha Sinha, Abhijit Das. (2016). QUANTIFICATION OF BALANCE IN SINGLE LIMB STANCE USING KINECT. IEEE SigPort. http://sigport.org/803
Kingshuk Chakravarty, Suraj Suman, Brojeshwar Bhowmick, Aniruddha Sinha, Abhijit Das, 2016. QUANTIFICATION OF BALANCE IN SINGLE LIMB STANCE USING KINECT. Available at: http://sigport.org/803.
Kingshuk Chakravarty, Suraj Suman, Brojeshwar Bhowmick, Aniruddha Sinha, Abhijit Das. (2016). "QUANTIFICATION OF BALANCE IN SINGLE LIMB STANCE USING KINECT." Web.
1. Kingshuk Chakravarty, Suraj Suman, Brojeshwar Bhowmick, Aniruddha Sinha, Abhijit Das. QUANTIFICATION OF BALANCE IN SINGLE LIMB STANCE USING KINECT [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/803

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