Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Deconvolution

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Neurophysiological correlates of delayed recovery of consciousness in a critically ill patient with COVID-19 with repeated cardiac arrest.

British journal of anaesthesia·2026

Same author

Determinants of Delayed Recovery of Consciousness After Analgosedation Discontinuation in the ICU: Insights From Patients With COVID-19 Hypoxemic Respiratory Failure.

Critical care medicine·2026

Same author

Translational applications of circadian research: connecting chronobiology to medicine.

Npj biological timing and sleep·2026

Same author

Occult obstructive sleep apnea in survivors of Hodgkin lymphoma following radiation therapy: an atypical and under-recognized phenotype.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine·2026

Same author

Electroencephalographic Monitoring in the Recovery Room for Identification of Patients at Risk for Postoperative Delirium.

Anesthesiology·2026

Same author

Similar destabilization of neural dynamics under different general anesthetics.

Cell reports·2026

Search research articles

Related Experiment Video

Updated: May 3, 2026

Extraction and Analysis of Cortisol from Human and Monkey Hair

Extraction and Analysis of Cortisol from Human and Monkey Hair

Published on: January 24, 2014

Deconvolution of serum cortisol levels by using compressed sensing.

Rose T Faghih¹, Munther A Dahleh², Gail K Adler³

¹Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America ; Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America ; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.

|February 4, 2014

Summary

This summary is machine-generated.

This study introduces a novel algorithm to accurately determine the timing and amplitude of cortisol secretion pulses from adrenal glands. The method successfully deconstructs simulated and real patient data, aiding in understanding hormonal disorders.

More Related Videos

Cortisol Extraction from Sturgeon Fin and Jawbone Matrices

Cortisol Extraction from Sturgeon Fin and Jawbone Matrices

Published on: September 10, 2019

Measuring Biophysical and Psychological Stress Levels Following Visitation to Three Locations with Differing Levels of Nature

Measuring Biophysical and Psychological Stress Levels Following Visitation to Three Locations with Differing Levels of Nature

Published on: June 19, 2019

Related Experiment Videos

Last Updated: May 3, 2026

Extraction and Analysis of Cortisol from Human and Monkey Hair

Extraction and Analysis of Cortisol from Human and Monkey Hair

Published on: January 24, 2014

Cortisol Extraction from Sturgeon Fin and Jawbone Matrices

Cortisol Extraction from Sturgeon Fin and Jawbone Matrices

Published on: September 10, 2019

Measuring Biophysical and Psychological Stress Levels Following Visitation to Three Locations with Differing Levels of Nature

Measuring Biophysical and Psychological Stress Levels Following Visitation to Three Locations with Differing Levels of Nature

Published on: June 19, 2019

Area of Science:

Neuroendocrinology
Biomedical Engineering
Computational Biology

Background:

Cortisol release is pulsatile, controlled by a hypothalamus-pituitary-adrenal axis.
Accurately quantifying cortisol secretory events is crucial but challenging.
Existing methods struggle to precisely determine the number, timing, and amplitude of cortisol pulses.

Purpose of the Study:

To develop and validate a novel computational method for deconvolving pulsatile cortisol secretion.
To accurately identify the timing and amplitude of individual cortisol secretory events from serum cortisol measurements.
To provide a tool for quantifying normal and abnormal cortisol secretion patterns.

Main Methods:

Formulated cortisol secretion deconvolution as a non-convex optimization problem.
Employed a coordinate descent algorithm combining compressed sensing and generalized cross-validation.
Modeled cortisol secretion using a second-order linear differential equation with pulsatile inputs.
Validated the algorithm on simulated and real 24-hour serum cortisol datasets.

Main Results:

Successfully deconvloved simulated and actual 24-hour serum cortisol datasets from healthy women.
Achieved high accuracy (R² > 0.92) in identifying physiologically plausible timings and amplitudes of cortisol secretory events.
Demonstrated the algorithm's ability to estimate secretion patterns with a one-minute resolution.

Conclusions:

The developed algorithm provides a robust and accurate method for analyzing pulsatile cortisol secretion.
This technique enables better quantification of neuroendocrine states and identification of abnormal secretion patterns.
The findings have potential applications in diagnosing and treating hormonal disorders.