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IEEE Transactions on Biomedical Engineering
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Objective: Human feet have long been considered in close association with whole-body health, from which abundant cardiovascular and skeletomuscular information can be extracted. In this study, we aim to develop the world's first foot-based wearable system that can detect both pedal pulses and muscular activities, referred to as FeetBeat. Methods: Utilizing the flexible iontronic sensing (FITS) technology, we have constructed and characterized a five-unit sensing array for detection of both pedal...
#1Davide Tamborini (Harvard University)H-Index: 6
#2Kimberly Stephens (Harvard University)
Last.Maria Angela Franceschini (Harvard University)H-Index: 48
view all 10 authors...
We introduce a portable system for clinical studies based on Time-Domain Diffuse Correlation Spectroscopy (TD-DCS). After evaluating different lasers and detectors, the final system is based on a pulsed laser with about 550 picosecond (ps) pulse width and a coherence length of 38 mm, and two types of single-photon avalanche diodes (SPAD). The higher efficiency of the red-enhanced SPAD maximizes detection of the collected light, increasing the signal-to-noise ratio, while the better timing respon...
Objective: For accurate diagnosis of atherosclerosis, the high spatial and contrast resolutions of intravascular ultrasound (IVUS) images are a key requirement. Increasing the center frequency of IVUS is a simple solution to meet this requirement. However, this leads to a reduction in imaging depth due to the frequency-dependent attenuation of ultrasound. Here, we report a recently developed dual-element IVUS transducer for tissue harmonic imaging (THI) and frequency compounding to increase the ...
#1Fuyong Xing (CU: University of Colorado Boulder)
#2Fuyong Xing (CU: University of Colorado Boulder)
Last.Lin Yang (UF: University of Florida)H-Index: 30
view all 5 authors...
Objective: Nucleus recognition is a critical yet challenging step in histopathology image analysis, for example in Ki67 immunohistochemistry stained images. Although many automated methods have been proposed, most use a multi-stage processing pipeline to categorize nuclei, leading to cumbersome, low-throughput and error-prone assessments. To address this issue, we propose a novel deep fully convolutional network for single-stage nucleus recognition. Methods: Instead of conducting direct pixel-wi...
#1Freddy Odille (University of Lorraine)H-Index: 16
#2Alberto Battaglia (University of Lorraine)
Last.Jacques Felblinger (University of Lorraine)H-Index: 28
view all 7 authors...
Objective: A novel method is developed to identify ablation targets for the catheter treatment of ventricular tachycardia (VT). Methods: The method is based on pacemapping, which is a validated technique to determine the catheter ablation targets. Conventionally, it consists of stimulating the heart ventricle from various sites and comparing the resulting activation pathways to that of a clinical VT, by analysis of surface electrocardiograms (ECG). In this work a novel pace-mapping method is pre...
#1Toshitaka Yamakawa (Kumamoto University)H-Index: 6
#2Takao Inoue (Yamaguchi University)H-Index: 6
Last.SuzukiMichiyasu (Yamaguchi University)H-Index: 30
view all 7 authors...
Objective: The purpose of this research paper is to demonstrate how the integration of the multi-channel measurement capabilities of near-infrared spectroscopy (NIRS), electrocorticography (ECoG), and negative temperature coefficient (NTC) thermistor sensors into a single device compact enough for subdural implantation can provide beneficial information on various aspects of brain cortical activity and prove a powerful medical modality for pre-, intra-, and post-operative diagnoses in neurosurge...
#1Alex Belyea (UNB: University of New Brunswick)
#2Kevin Englehart (UNB: University of New Brunswick)H-Index: 36
Last.Erik Scheme (UNB: University of New Brunswick)H-Index: 10
view all 3 authors...
Force Myography (FMG), which measures the surface pressure profile exerted by contracting muscles, has been proposed as an alternative to electromyography (EMG) for human-machine interfaces. Although FMG pattern recognition-based control systems have yielded higher offline classification accuracy, but comparatively few works have examined the usability of FMG for real-time control. In this work, we conduct a comprehensive comparison of EMG and FMG-based schemes using both classification and regr...
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