Results 61 to 70 of about 1,720 (182)
Information &Functional Materials, EarlyView.Piezoelectric materials are reviewed as active platforms for medical ultrasound, bridging electromechanical fundamentals, transducer architectures, and biomedical applications. Material–device co‐design is emphasized as the key to high‐performance diagnosis, therapy, monitoring, wearable ultrasound, and emerging ultrasound‐responsive functions ...
Jianan Li, Qing Wan
wiley +1 more source
WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities
IEEE Access, 2020 Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities.
Muhammad Muaaz +4 more
doaj +1 more source
International Journal of Gynecology &Obstetrics, EarlyView.Abstract The labor care guide (LCG) is a new tool for monitoring labor, introduced to replace the partograph, which had been used improperly and inconsistently across various contexts. Early research suggests that healthcare practitioners view the LCG as a tool that enhances the quality of care during labor and delivery.
Amalia N. N. Ilonga +1 more
wiley +1 more source
Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing
Sensors, 2023 RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting accidental falls and recognizing human activities. Contemporary RF-based HAR systems generally employ a single monostatic radar to recognize human activities ...
Muhammad Muaaz +2 more
doaj +1 more source
Renal screening sonography—A comparative study in a Portuguese basic emergency service
Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 8-16, March 2025.Renal sonography screening aids in clinical decision‐making for patients with suspected renal colic. This study intends to compare the accuracy and pertinence of sonographic findings obtained by a sonographer in a Basic Emergency Service (BES) with that of radiologists at Referral Hospital (RH) in Portugal. Renal sonography screening was able to detect
Sérgio Miravent +9 more
wiley +1 more source
Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures
IEEE Transactions on Geoscience and Remote Sensing, 2022 Human activity recognition (HAR) plays a vital role in many applications, such as surveillance, in-home monitoring, and health care. Portable radar sensor has been increasingly used in HAR systems in combination with deep learning (DL). However, it is both difficult and time-consuming to obtain a large-scale radar dataset with reliable labels ...
Xinyu Li 0007 +3 more
openaire +4 more sources
Quarterly Journal of the Royal Meteorological Society, EarlyView.Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo +3 more
wiley +1 more source
Remote Sensing, 2018 A high-resolution three-dimensional (3D) image reconstruction method for a spinning target is proposed in this paper and the anisotropy is overcome by fusing different observation information acquired from the radar network.
Xiao-wen Liu +4 more
doaj +1 more source
Arm Motion Classification Using Time-Series Analysis of the Spectrogram Frequency Envelopes
Remote Sensing, 2020 Hand and arm gesture recognition using radio frequency (RF) sensing modality proves valuable in man−machine interfaces and smart environments. In this paper, we use the time-series analysis method to accurately measure the similarity of the micro ...
Zhengxin Zeng +2 more
doaj +1 more source
Bistatic human micro-Doppler signatures for classification of indoor activities [PDF]
2017 IEEE Radar Conference (RadarConf), 2017 This paper presents the analysis of human micro- Doppler signatures collected by a bistatic radar system to classify different indoor activities. Tools for automatic classification of different activities will enable the implementation and deployment of systems for monitoring life patterns of people and identifying fall events or anomalies which may be
Fioranelli, Francesco +2 more
openaire +2 more sources