AIMC Topic: Signal Processing, Computer-Assisted

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A Multi-Technique Reconfigurable Electrochemical Biosensor: Enabling Personal Health Monitoring in Mobile Devices.

IEEE transactions on biomedical circuits and systems Oct 1, 2016
This paper describes the design and characterization of a reconfigurable, multi-technique electrochemical biosensor designed for direct integration into smartphone and wearable technologies to enable remote and accurate personal health monitoring. By...
Reproducibility of Results Amplifiers, Electronic Self Care Conductometry Signal Processing, Computer-Assisted Systems Integration Sensitivity and Specificity Smartphone Telemedicine Diagnosis, Computer-Assisted Biosensing Techniques Monitoring, Ambulatory Equipment Design Equipment Failure Analysis
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An approach to predict Sudden Cardiac Death (SCD) using time domain and bispectrum features from HRV signal.

Bio-medical materials and engineering Aug 12, 2016
In this paper we present a method to predict Sudden Cardiac Arrest (SCA) with higher order spectral (HOS) and linear (Time) features extracted from heart rate variability (HRV) signal. Predicting the occurrence of SCA is important in order to avoid t...
Electrocardiography Support Vector Machine Discriminant Analysis Signal Processing, Computer-Assisted Humans Algorithms Databases, Factual Heart Rate Death, Sudden, Cardiac
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[Thalamocortical Neural Mass Model Simulation and Study Based on Field Programmable Gate Array].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 1, 2016
Using the computer to imitate the neural oscillations of the brain is of great significance for the analysis of brain functions.Thalamocortical neural mass model(TNMM)reflects the mechanisms of neural activities by establishing the relationships betw...
Models, Neurological Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Neurons Humans Algorithms Molecular Weight Brain Computer Simulation
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User intent prediction with a scaled conjugate gradient trained artificial neural network for lower limb amputees using a powered prosthesis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Powered lower limb prostheses have the ability to provide greater mobility for amputee patients. Such prostheses often have pre-programmed modes which can allow activities such as climbing stairs and descending ramps, something which many amputees st...
Young Adult Adult Male Middle Aged Amputees Lower Extremity Humans Algorithms Gait Neural Networks, Computer Discriminant Analysis Female Artificial Limbs Signal Processing, Computer-Assisted Aged Prosthesis Implantation
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Support vector machine classification of Parkinson's disease and essential tremor subjects based on temporal fluctuation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and ET tremor is important since the realization of treatment depends on specific medication. A novel feature is d...
Essential Tremor Diagnosis, Differential Signal Processing, Computer-Assisted Kinetics Rest Time Factors Support Vector Machine Parkinson Disease Humans Female Aged Male
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SmartSock: a wearable platform for context-aware assessment of ankle edema.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Ankle edema an important symptom for monitoring patients with chronic systematic diseases. It is an important indicator of onset or exacerbation of a variety of diseases that disturb cardiovascular, renal, or hepatic system such as heart, liver, and ...
Ankle Monitoring, Ambulatory Clothing Humans Posture Accelerometry Signal Processing, Computer-Assisted Edema Mechanical Phenomena
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Detection of fetal kicks using body-worn accelerometers during pregnancy: Trade-offs between sensors number and positioning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Monitoring fetal wellbeing is key in modern obstetrics. While fetal movement is routinely used as a proxy to fetal wellbeing, accurate, noninvasive, long-term monitoring of fetal movement is challenging. A few accelerometer-based systems have been de...
Fetal Monitoring Humans Fetal Movement Pregnancy Female Signal Processing, Computer-Assisted Accelerometry
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Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
A novel method for efficient telemonitoring of arrhythmia based on using QRS complexes is proposed. Two features, namely, sum of absolute differences (SAD) and maximum of absolute differences (MAD) are efficiently computed for each ECG segment in the...
Machine Learning Signal Processing, Computer-Assisted Humans Algorithms Time Factors Arrhythmias, Cardiac Computer Simulation Data Compression Electrocardiography Reproducibility of Results Area Under Curve
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Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected be...
Bayes Theorem Electroencephalography Signal Processing, Computer-Assisted Mental Fatigue Middle Aged Adolescent Principal Component Analysis Humans Neural Networks, Computer Algorithms Aged Young Adult Adult
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Evaluation of periodic breathing in respiratory flow signal of elderly patients using SVM and linear discriminant analysis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Aging population is a major concern that is reflected in the increase of chronic diseases. Heart Failure (HF) is one of the most common chronic diseases of elderly people that is punctuated with acute episodes, which result in hospitalization. The pe...
Signal Processing, Computer-Assisted Heart Failure Respiratory Rate Male Electrocardiography Support Vector Machine Discriminant Analysis Female Aged Aged, 80 and over Humans
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