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https://www.readbyqxmd.com/read/28325037/time-shared-twin-memristor-crossbar-reducing-the-number-of-arrays-by-half-for-pattern-recognition
#1
Son Ngoc Truong, Khoa Van Pham, Wonsun Yang, Anjae Jo, Mi Jung Lee, Hyun-Sun Mo, Kyeong-Sik Min
In this paper, we propose a new time-shared twin memristor crossbar for pattern-recognition applications. By sharing two memristor arrays at different time, the number of memristor arrays can be reduced by half, saving the crossbar area by half, too. To implement the time-shared twin memristor crossbar, we also propose CMOS time-shared subtractor circuit, in this paper. The operation of the time-shared twin memristor crossbar is verified using 3 × 3 memristor array which is made of aluminum film and carbon fiber...
December 2017: Nanoscale Research Letters
https://www.readbyqxmd.com/read/28325033/user-intent-prediction-with-a-scaled-conjugate-gradient-trained-artificial-neural-network-for-lower-limb-amputees-using-a-powered-prosthesis
#2
Richard B Woodward, John A Spanias, Levi J Hargrove
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 struggle with when using non-powered limbs. Previous literature has shown how pattern classification can allow seamless transitions between modes with a high accuracy and without any user interaction. Although accurate, training and testing each subject with their own dependent data is time consuming...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325032/limb-position-robust-classification-of-myoelectric-signals-for-prosthesis-control-using-sparse-representations
#3
Joseph L Betthauser, Christopher L Hunt, Luke E Osborn, Rahul R Kaliki, Nitish V Thakor
The fundamental objective in non-invasive myoelectric prosthesis control is to determine the user's intended movements from corresponding skin-surface recorded electromyographic (sEMG) activation signals as quickly and accurately as possible. Linear Discriminant Analysis (LDA) has emerged as the de facto standard for real-time movement classification due to its ease of use, calculation speed, and remarkable classification accuracy under controlled training conditions. However, performance of cluster-based methods like LDA for sEMG pattern recognition degrades significantly when real-world testing conditions do not resemble the trained conditions, limiting the utility of myoelectrically controlled prosthesis devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325025/comparison-between-users-of-a-new-methodology-for-heart-sound-auscultation
#4
Ana Castro, Pedro Gomes, Sandra S Mattos, Miguel T Coimbra
Auscultation is a routine exam and the first line of screening in heart pathologies. The objective of this study was to assess if using a new data collection system, the DigiScope Collector, with a guided and automatic annotation of heart auscultation, different levels of expertise/experience users could collect similar digital auscultations. Data were collected within the Heart Caravan Initiative (Paraíba, Brasil). Patients were divided into two study groups: Group 1 evaluated by a third year medical student (User 1), and an experienced nurse (User 2); Group 2 evaluated by User 2 and an Information Technology professional (User 3)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325023/an-affordable-cuff-less-blood-pressure-estimation-solution
#5
Monika Jain, Niranjan Kumar, Sujay Deb
This paper presents a cuff-less hypertension pre-screening device that non-invasively monitors the Blood Pressure (BP) and Heart Rate (HR) continuously. The proposed device simultaneously records two clinically significant and highly correlated biomedical signals, viz., Electrocardiogram (ECG) and Photoplethysmogram (PPG). The device provides a common data acquisition platform that can interface with PC/laptop, Smart phone/tablet and Raspberry-pi etc. The hardware stores and processes the recorded ECG and PPG in order to extract the real-time BP and HR using kernel regression approach...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325018/imquant-an-image-based-fluorescence-reader-for-quantitative-lateral-flow-immunoassays
#6
Kaushik Basak Chowdhury, Jayaraj Joseph, Jayaraman Kiruthi Vasan, Mohanasankar Sivaprakasam
Fluorescence immunoassays (FIA) have strong potential in enabling rapid quantitative immunological testing at point of care. Existing state of the art instruments employ laser scanning of FIA test kits, which require the use of electromechanical systems, making the instrument bulky, heavy and less reliable in the long term. There is a growing need for an extremely compact and reliable, motion-free, automated reader for accurate quantification of immunoassays. Here, we present ImQuant, an image based FIA reader with integrated monochromatic excitation source, optical filtering and real time image capture, assisted with an intuitive graphical user interface...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325016/sleep-stage-classification-by-non-contact-vital-signs-indices-using-doppler-radar-sensors
#7
Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui
Disturbed sleep has become more common in recent years. To improve the quality of sleep, undergoing sleep observation has gained interest as a means to resolve possible problems. In this paper, we evaluate a non-restrictive and non-contact method for classifying real-time sleep stages and report on its potential applications. The proposed system measures heart rate (HR), heart rate variability (HRV), body movements, and respiratory signals of a sleeping person using two 24-GHz microwave radars placed beneath the mattress...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325015/estimating-apnea-hypopnea-index-only-from-an-accelerometer-signal-measured-on-the-chest
#8
Yasunobu Yamauchi, Sawa Fuke, Kanako Nakayama, Jun'ya Takakura, Hitoshi Usuniwa, Keiji Koike, Eriko Ouchi, Nagafumi Doi
Sleep apnea syndrome (SAS) is becoming a public concern in the field of preventive medicine because it causes more deleterious diseases. However, the majority of patients are not diagnosed and an easier-to-use, lower-cost device for screening of SAS is needed compared to the existing multimodal devices. In this study, we developed and tested a method to estimate the apnea-hypopnea index (AHI), which is the measure of severity of SAS, only from an accelerometer signal measured on the chest. Simultaneous recordings of overnight sleep polysomnography and accelerometer signal were conducted for 50 participants...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325014/real-time-monitoring-of-swimming-performance
#9
R Delgado-Gonzalo, A Lemkaddem, Ph Renevey, E Muntane Calvo, M Lemay, K Cox, D Ashby, J Willardson, M Bertschi
This article presents the performance results of a novel algorithm for swimming analysis in real-time within a low-power wrist-worn device. The estimated parameters are: lap count, stroke count, time in lap, total swimming time, pace/speed per lap, total swam distance, and swimming efficiency (SWOLF). In addition, several swimming styles are automatically detected. Results were obtained using a database composed of 13 different swimmers spanning 646 laps and 858.78 min of total swam time. The final precision achieved in lap detection ranges between 99...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325013/mirror-therapy-combined-with-functional-electrical-stimulation-for-rehabilitation-of-stroke-survivors-ankle-dorsiflexion
#10
Ghadir Salhab, Ahmad Rifaii Sarraj, Soha Saleh
This study investigates the effect of combining both mirror therapy with Electrical Stimulation (ES) on improvement of the function of lower extremity compared to conventional therapy. 18 stroke survivors (sub acute stage) were recruited, 9 of them were randomly assigned to receive conventional treatment and another 9 started the mirror therapy combined with ES treatment. Duration of each session in both interventions was 50 minutes, done 4 times per week over two weeks. After 2 weeks, subjects took one week rest before switching they type of treatment; those started with conventional therapy continued with mirror therapy combined with ES, and vice versa...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325008/feasibility-of-an-ultra-low-power-digital-signal-processor-platform-as-a-basis-for-a-fully-implantable-brain-computer-interface-system
#11
Po T Wang, Keulanna Gandasetiawan, Colin M McCrimmon, Alireza Karimi-Bidhendi, Charles Y Liu, Payam Heydari, Zoran Nenadic, An H Do
A fully implantable brain-computer interface (BCI) can be a practical tool to restore independence to those affected by spinal cord injury. We envision that such a BCI system will invasively acquire brain signals (e.g. electrocorticogram) and translate them into control commands for external prostheses. The feasibility of such a system was tested by implementing its benchtop analogue, centered around a commercial, ultra-low power (ULP) digital signal processor (DSP, TMS320C5517, Texas Instruments). A suite of signal processing and BCI algorithms, including (de)multiplexing, Fast Fourier Transform, power spectral density, principal component analysis, linear discriminant analysis, Bayes rule, and finite state machine was implemented and tested in the DSP...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325007/building-a-more-diverse-biomedical-engineering-workforce-biomedical-engineering-at-the-university-of-the-district-of-columbia-a-historically-black-college-university
#12
Lara A Thompson, A Segun Adebayo, Nian Zhang, Sasan Haghani, Kathleen Dowell, Devdas Shetty
Biomedical Engineering (BME) is a new, multidisciplinary, and rapidly growing field, however, the BME Workforce suffers from limited ethnic and gender diversity. Despite the demand and growth of this new field due to its public health importance, only 4 out of the 107 Historically Black Colleges and Universities (HBCUs) nationwide offers a Bachelor's of Science (B.S.) in Bio-Engineering related fields. In order to contribute to a growing BME Workforce, HBCUs need to react and offer more degree-programs relevant to BME...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325002/radiomic-analysis-of-multi-contrast-brain-mri-for-the-prediction-of-survival-in-patients-with-glioblastoma-multiforme
#13
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
Image texture features are effective at characterizing the microstructure of cancerous tissues. This paper proposes predicting the survival times of glioblastoma multiforme (GBM) patients using texture features extracted in multi-contrast brain MRI images. Texture features are derived locally from contrast enhancement, necrosis and edema regions in T1-weighted post-contrast and fluid-attenuated inversion-recovery (FLAIR) MRIs, based on the gray-level co-occurrence matrix representation. A statistical analysis based on the Kaplan-Meier method and log-rank test is used to identify the texture features related with the overall survival of GBM patients...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325001/reliability-of-a-cortical-surface-based-analysis-with-subcortical-regression-in-the-identification-of-resting-state-functional-networks
#14
R Lopes, P Besson, R Viard, C Bournonville, C Delmaire, X Leclerc
Many methods exist for identifying brain networks in resting-state functional magnetic resonance imaging. During the last decade, there was a growing interest in functional connectivity using surface-based analysis. However, the advantages of this approach against volume-based analysis in a data-driven model are unclear. In this study, we propose an independent component analysis based method to extract the resting-state networks directly on the cortical surface. The components associated with the subcortical regions are identified by multiple linear regressions between the signals in subcortical voxels and independent components time courses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28325000/mechanomyography-signals-in-spastic-muscle-and-the-correlation-with-the-modified-ashworth-scale
#15
E L Santos, M C Santos, E Krueger, G N Nogueira-Neto, P Nohama
The modified Ashworth scale (MAS) is the most widely used measurement technique to assess levels of spasticity. In MAS, the evaluator graduates spasticity considering his/her subjective analysis of the muscular endurance during passive stretching. Therefore, it is a subjective scale. Mechanomyography (MMG) allows registering the vibrations generated by muscle contraction and stretching events that propagate through the tissue until the surface of the skin. With this in mind, this study aimed to investigate possible correlations between MMG signal and muscle spasticity levels determined by MAS...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324997/assessing-the-development-of-fetal-myocardial-function-by-a-novel-doppler-myocardial-performance-index
#16
Ahsan H Khandoker, F Marzbanrad, Y Kimura, Saeed Al Nuaimi, M Palaniswami
Doppler-derived myocardial performance index are used to assess aspects of systolic and diastolic function in adult as well as fetal heart. The Tei Index (TI) is a useful and non-invasive tool. The aim of this study was to determine normal values of fetal left ventricular (LV) TI in early (16-32 weeks) and late trimester (35-41 weeks) fetuses and to develop a new myocardial performance index (K-index; KI) which focuses on fetal diastolic interval when oxygenated blood from the placenta filled in the LV. Simultaneous recordings of Doppler Ultrasound Signal (DUS) of the LV outflow tracts and fetal electrocardiogram signals were obtained in 55 early- and late-trimester fetuses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324996/analysis-of-the-non-stationarity-of-neural-activity-during-an-auditory-oddball-task-in-schizophrenia
#17
P Nunez, J Poza, J Gomez-Pilar, A Bachiller, C Gomez, A Lubeiro, V Molina, R Hornero
The aim of this study was to characterize brain dynamics during an auditory oddball task. For this purpose, a measure of the non-stationarity of a given time-frequency representation (TFR) was applied to electroencephalographic (EEG) signals. EEG activity was acquired from 20 schizophrenic (SCH) patients and 20 healthy controls while they underwent a three-stimulus auditory oddball task. The Degree of Stationarity (DS), a measure of the non-stationarity of the TFR, was computed using the continuous wavelet transform...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324995/eeg-based-mental-fatigue-detection-by-spectral-non-negative-matrix-factorization
#18
Lili Li, Guanghua Xu, Jun Xie, Min Li, Sicong Zhang, Ailing Luo
After long time cognitive work, most of people confronted with the mental fatigue, which can decrease the classification accuracy of cognitive, or even cause the traffic accidents for drivers. Therefore, the detection of the fatigue state is very essential. The study aims to explore an effective and novel approach based on electroencephalogram. All participants were instructed to implement the spelling experiments. Data were recorded on the awake condition, on sleep deprivation condition and after two hour spelling experiment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324990/indirect-measurement-of-the-carotid-arterial-pressure-from-vibrocardiographic-signal-calibration-of-the-waveform-and-comparison-with-photoplethysmographic-signal
#19
L Casacanditella, G Cosoli, S Casaccia, E P Tomasini, L Scalise
The detection of arterial Blood Pressure waveform provides important information about the subject health status. Laser Doppler Vibrometry (LDV) is a non-contact technique with high sensitivity able to detect mechanical movements of the arterial wall; several previous studies have shown that LDV is able to characterize cardiac activity. Photoplethysmogram (PPG) quantifies the digital volume artery pulse, which has been demonstrated to be closely related to the pressure signal measured by an arterial tonometer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324989/non-contact-real-time-estimation-of-intrapulmonary-pressure-and-tidal-volume-for-chronic-heart-failure-patients
#20
Vinh Phuc Tran, Adel Ali Al-Jumaily
Long-term continuous patient monitoring is required in many health systems for monitoring and analytical diagnosing purposes. It has been recognized that these types of monitoring systems have shortcomings related to patient comfort and/or functionality. Non-contact monitoring systems have been developed to address some of these shortcomings. One of such systems is non-contact physiological vital signs assessments for Chronic Heart Failure (CHF) patients. This paper presents a novel pulmonary ventilation model that defines the relationship between the intrapulmonary pressure and the chest displacement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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