This paper presents an ultra low power ASIC design based on a new cardiovascular disease diagnostic algorithm. This new algorithm based on forward search is designed for real time ECG signal processing. The algorithm is evaluated for Physionet PTB database from the point of view of cardiovascular disease diagnosis. The failed detection rate of QRS complex peak detection of our algorithm ranges from 0.07% to 0.26% for multi lead ECG signal. The ASIC is designed using 130-nm CMOS low leakage process technology. The area of ASIC is 1.21 mm(2). This ASIC consumes only 96 nW at an operating frequency of 1 kHz with a supply voltage of 0.9 V. Due to ultra low power consumption, our proposed ASIC design is most suitable for energy efficient wearable ECG monitoring devices.
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http://dx.doi.org/10.1109/EMBC.2015.7318497 | DOI Listing |
Cureus
January 2025
Anesthesiology and Pain and Palliative Medicine, Radboud University Medical Center, Nijmegen, NLD.
When a difficult airway is anticipated, awake tracheal intubation can be considered. Usually, low doses of sedatives are administered during this procedure for minimal sedation and anxiolysis, such as midazolam and remifentanil. The newly developed ultra-short-acting benzodiazepine remimazolam has a pharmacokinetic profile that is more suitable for titration during awake tracheal intubation than the long-acting midazolam.
View Article and Find Full Text PDFOver the past decade, there has been a global increase in the incidence of skin cancers. Skin cancer has serious consequences if left untreated, potentially leading to more advanced cancer stages. In recent years, deep learning based convolutional neural network have emerged as powerful tools for skin cancer detection.
View Article and Find Full Text PDFDevice
October 2024
Division of Gastroenterology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
Naloxone can effectively rescue victims from opioid overdose, but less than 5% survive due to delayed or absent first responder intervention. Current overdose reversal systems face key limitations, including low user adherence, false positive detection, and slow antidote delivery. Here, we describe a subcutaneously implanted robotic first responder to overcome these challenges.
View Article and Find Full Text PDFQuantum ghost imaging (QGI) leverages correlations between entangled photon pairs to reconstruct an image using light that has never physically interacted with an object. Despite extensive research interest, this technique has long been hindered by slow acquisition speeds, due to the use of raster-scanned detectors or the slow response of intensified cameras. Here, we utilize a single-photon-sensitive time-stamping camera to perform QGI at ultra-low-light levels with rapid data acquisition and processing times, achieving high-resolution and high-contrast images in under 1 min.
View Article and Find Full Text PDFJ Neuroimaging
January 2025
Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Background And Purpose: MRI is crucial for multiple sclerosis (MS), but the relative value of portable ultra-low field MRI (pULF-MRI), a technology that holds promise for extending access to MRI, is unknown. We assessed white matter lesion (WML) detection on pULF-MRI compared to high-field MRI (HF-MRI), focusing on blinded assessments, assessor self-training, and multiplanar acquisitions.
Methods: Fifty-five adults with MS underwent pULF-MRI following their HF-MRI.
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