Micah Madrid
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Micah Madrid has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Igor R. Efimov
Department of Biomedical Engineering, Northwestern University, Chicago, USA
2 shared publications - Amarachi Elekeokwuri
Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
1 shared publication Amy Fehr
Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
1 shared publication- Bridget Burke
Department of Biomedical Engineering, The George Washington University, Washington, DC 20052, USA
1 shared publication - David Clausen
Department of Biomedical Engineering University of Arizona Tucson AZ 85721 USA
1 shared publication - Eric Rytkin
Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
1 shared publication
Latest Publications
- Open Access
- 7 February 2025
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 11 (6) , eads8608
A soft multimodal optoelectronic array interface for multiparametric mapping of heart function in vivo
Multiparametric investigation of cardiac physiology is crucial for the diagnosis and therapy of heart disease. However, no method exists to simultaneously map multiple parameters that govern cardiac (patho)physiology from beating hearts in vivo. Here, we present a cardiac sensing platform that addresses this challenge, functioning with a wireless interface. Advanced fabrication and assembling strategies enable the heterogeneous integration of transparent microelectrodes, light-emitting diodes, photodiodes, and optical filters into a multilayer array structure on soft substrates. The microelectrodes exhibit superior electrochemical performance for measuring electrical potentials and excellent transparency for co-localized fluorescence measurement. The device shows excellent biocompatibility and records the fluorescence of calcium reporter with performance comparable to imaging cameras. Multiparametric in vivo mapping of electrical excitation, calcium dynamics, and their combined effects on cardiac excitation-contraction coupling is demonstrated during normal rhythm, arrhythmia, and treatment. This technology offers potential widespread use in cardiac research to support scientific discoveries and advance clinical life-saving diagnostics and therapies.
- 7 February 2025
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 11 (6) , eads8608
Open AccessA soft multimodal optoelectronic array interface for multiparametric mapping of heart function in vivo
Multiparametric investigation of cardiac physiology is crucial for the diagnosis and therapy of heart disease. However, no method exists to simultaneously map multiple parameters that govern cardiac (patho)physiology from beating hearts in vivo. Here, we present a cardiac sensing platform that addresses this challenge, functioning with a wireless interface. Advanced fabrication and assembling strategies enable the heterogeneous integration of transparent microelectrodes, light-emitting diodes, photodiodes, and optical filters into a multilayer array structure on soft substrates. The microelectrodes exhibit superior electrochemical performance for measuring electrical potentials and excellent transparency for co-localized fluorescence measurement. The device shows excellent biocompatibility and records the fluorescence of calcium reporter with performance comparable to imaging cameras. Multiparametric in vivo mapping of electrical excitation, calcium dynamics, and their combined effects on cardiac excitation-contraction coupling is demonstrated during normal rhythm, arrhythmia, and treatment. This technology offers potential widespread use in cardiac research to support scientific discoveries and advance clinical life-saving diagnostics and therapies.
- Open Access
- 28 October 2022
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 8 (43) , eabq7469
Wireless, fully implantable cardiac stimulation and recording with on-device computation for closed-loop pacing and defibrillation
Monitoring and control of cardiac function are critical for investigation of cardiovascular pathophysiology and developing life-saving therapies. However, chronic stimulation of the heart in freely moving small animal subjects, which offer a variety of genotypes and phenotypes, is currently difficult. Specifically, real-time control of cardiac function with high spatial and temporal resolution is currently not possible. Here, we introduce a wireless battery-free device with on-board computation for real-time cardiac control with multisite stimulation enabling optogenetic modulation of the entire rodent heart. Seamless integration of the biointerface with the heart is enabled by machine learning–guided design of ultrathin arrays. Long-term pacing, recording, and on-board computation are demonstrated in freely moving animals. This device class enables new heart failure models and offers a platform to test real-time therapeutic paradigms over chronic time scales by providing means to control cardiac function continuously over the lifetime of the subject.
- 28 October 2022
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 8 (43) , eabq7469
Open AccessWireless, fully implantable cardiac stimulation and recording with on-device computation for closed-loop pacing and defibrillation
Monitoring and control of cardiac function are critical for investigation of cardiovascular pathophysiology and developing life-saving therapies. However, chronic stimulation of the heart in freely moving small animal subjects, which offer a variety of genotypes and phenotypes, is currently difficult. Specifically, real-time control of cardiac function with high spatial and temporal resolution is currently not possible. Here, we introduce a wireless battery-free device with on-board computation for real-time cardiac control with multisite stimulation enabling optogenetic modulation of the entire rodent heart. Seamless integration of the biointerface with the heart is enabled by machine learning–guided design of ultrathin arrays. Long-term pacing, recording, and on-board computation are demonstrated in freely moving animals. This device class enables new heart failure models and offers a platform to test real-time therapeutic paradigms over chronic time scales by providing means to control cardiac function continuously over the lifetime of the subject.