Results 81 to 90 of about 85,432 (213)

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Material strategy for strain-invariant radio-frequency electronics. [PDF]

Int J Extrem Manuf
Zhang S, Yang F, Song C, Cheng H.
europepmc   +1 more source

Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data

Advanced Materials Technologies, EarlyView.
Capacitive pressure sensors based on poly(glycerol sebacate) (PGS) substrates are developed for continuous, non‐invasive respiratory monitoring. Integrated with a signal processing algorithm, they enable accurate tracking of thoracic expansion and retraction.
Bernardo A. Vicente, Raquel Sebastião, Alda Marques, Vitor Sencadas   +3 more
wiley   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source

Adoption of unsedated transoral wireless pH capsule at a Veterans Affairs hospital: a feasibility study. [PDF]

IGIE
Luu BC, Larson SA, Chokshi RV, Ayoub F, Skef W.   +4 more
europepmc   +1 more source

Additively Manufactured Porous Ceramics as Tunable Dielectrics for Passive Temperature Sensing

Advanced Materials Technologies, EarlyView.
Porous ceramic lattices, 3D‐printed from a multicomponent oxide ink, are integrated with LC resonators for passive wireless temperature sensing. By tuning porosity, the dielectric properties and RF response are engineered to produce distinct resonant frequency shifts with temperature. The results establish a structure‐driven approach to customizing the
Sogol Heidarishahrivar, Aminul Islam, Chang Woo Gal, Insup Kim, Yeong‐Jin Choi, Woo Soo Kim   +5 more
wiley   +1 more source

Quad-Element Implantable MIMO Antenna for Wireless Capsule Endoscopy. [PDF]

Sensors (Basel)
Smida A, Tiang JJ, Waly MI, Muhammad S.
europepmc   +1 more source

MXene‐Coated 3D Printed Horn Antennas for Ku Frequency Band

Advanced Materials Technologies, EarlyView.
An additive manufacturing approach to 3D printing horn antennas and coating them with Ti3C2Tx MXene is proposed. Rapid fabrication of lightweight, high‐performance antennas operating in the Ku‐band (12.4–18 GHz) has been demonstrated. The MXene‐coated antennas exhibit comparable electromagnetic performance to conventional, costly aluminum ones, with ...
Zahra Sarpanah Sourkouhi, Jamal Alhourani, Yury Gogotsi, Mohammad H. Zarifi   +3 more
wiley   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Smart and efficient waste management through wireless IoT-enabled deep learning. [PDF]

Sci Rep
Latha P, Benni NS, Asuti MG, Thamaraiselvi K.   +3 more
europepmc   +1 more source