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Antonio Maria Chiarelli
Researcher at University of Chieti-Pescara
Publications - 77
Citations - 2322
Antonio Maria Chiarelli is an academic researcher from University of Chieti-Pescara. The author has contributed to research in topics: Medicine & Functional near-infrared spectroscopy. The author has an hindex of 21, co-authored 68 publications receiving 1580 citations. Previous affiliations of Antonio Maria Chiarelli include University of Illinois at Urbana–Champaign & Foundation University, Islamabad.
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Journal ArticleDOI
Battery-free, stretchable optoelectronic systems for wireless optical characterization of the skin
Jeonghyun Kim,Jeonghyun Kim,Giovanni A. Salvatore,Giovanni A. Salvatore,Hitoshi Araki,Antonio Maria Chiarelli,Zhaoqian Xie,Zhaoqian Xie,Anthony Banks,Xing Sheng,Yuhao Liu,Jung Woo Lee,Jung Woo Lee,Kyung In Jang,Seung Yun Heo,Kyoungyeon Cho,Hongying Luo,Hongying Luo,Benjamin Zimmerman,Joonhee Kim,Lingqing Yan,Xue Feng,Sheng Xu,Monica Fabiani,Gabriele Gratton,Yonggang Huang,Ungyu Paik,John A. Rogers +27 more
TL;DR: The work reported here introduces active optoelectronic systems that function without batteries and in an entirely wireless mode, with examples in thin, stretchable platforms designed for multiwavelength optical characterization of the skin.
Journal ArticleDOI
Miniaturized Battery-Free Wireless Systems for Wearable Pulse Oximetry
Jeonghyun Kim,Philipp Gutruf,Philipp Gutruf,Antonio Maria Chiarelli,Seung Yun Heo,Seung Yun Heo,Kyoungyeon Cho,Zhaoqian Xie,Zhaoqian Xie,Anthony Banks,Seungyoung Han,Kyung In Jang,Kyung In Jang,Jung Woo Lee,Kyu-Tae Lee,Kyu-Tae Lee,Xue Feng,Yonggang Huang,Monica Fabiani,Gabriele Gratton,Ungyu Paik,John A. Rogers,John A. Rogers +22 more
TL;DR: Material and device concepts for flexible platforms that incorporate advanced optoelectronic functionality for applications in wireless capture and transmission of photoplethysmograms, including quantitative information on blood oxygenation, heart rate and heart rate variability are reported.
Journal ArticleDOI
Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification.
TL;DR: BCI performances can be significantly improved by employing multi-modal recordings that provide electrical and hemodynamic brain activity information, in combination with advanced non-linear deep learning classification procedures.
Journal ArticleDOI
A kurtosis-based wavelet algorithm for motion artifact correction of fNIRS data.
TL;DR: A new procedure that relies on eliminating wavelets that contribute to generate a large fourth-moment of the coefficient distribution to define "outliers" wavelets (kurtosis-based Wavelet Filtering, kbWF) is introduced.
Journal ArticleDOI
Wireless, battery-free optoelectronic systems as subdermal implants for local tissue oximetry.
Hao Zhang,Philipp Gutruf,Philipp Gutruf,Kathleen Meacham,Michael C. Montana,Xingyue Zhao,Xingyue Zhao,Antonio Maria Chiarelli,Abraham Vázquez-Guardado,Aaron J. Norris,Luyao Lu,Qinglei Guo,Qinglei Guo,Chenkai Xu,Yixin Wu,Hangbo Zhao,Xin Ning,Wubin Bai,Irawati Kandela,Chad R. Haney,Debashis Chanda,Robert W. Gereau,John A. Rogers +22 more
TL;DR: An entirely wireless and fully implantable platform incorporating microscale optoelectronics for continuous sensing of local hemoglobin dynamics and advanced designs in continuous, wireless power delivery and data output for tether-free operation is introduced.