Version 1
: Received: 30 April 2023 / Approved: 1 May 2023 / Online: 1 May 2023 (04:49:14 CEST)
Version 2
: Received: 1 May 2023 / Approved: 1 May 2023 / Online: 1 May 2023 (05:24:58 CEST)
How to cite:
Merle, G.; Parent-Harvey, A.; Harvey, E.J. MEMS Sensors Driven Scientific Process to Solve Acute Compartment Syndrome. Preprints2023, 2023050019. https://doi.org/10.20944/preprints202305.0019.v2
Merle, G.; Parent-Harvey, A.; Harvey, E.J. MEMS Sensors Driven Scientific Process to Solve Acute Compartment Syndrome. Preprints 2023, 2023050019. https://doi.org/10.20944/preprints202305.0019.v2
Merle, G.; Parent-Harvey, A.; Harvey, E.J. MEMS Sensors Driven Scientific Process to Solve Acute Compartment Syndrome. Preprints2023, 2023050019. https://doi.org/10.20944/preprints202305.0019.v2
APA Style
Merle, G., Parent-Harvey, A., & Harvey, E.J. (2023). MEMS Sensors Driven Scientific Process to Solve Acute Compartment Syndrome. Preprints. https://doi.org/10.20944/preprints202305.0019.v2
Chicago/Turabian Style
Merle, G., Alexandre Parent-Harvey and Edward Joseph Harvey. 2023 "MEMS Sensors Driven Scientific Process to Solve Acute Compartment Syndrome" Preprints. https://doi.org/10.20944/preprints202305.0019.v2
Abstract
Background: Sensor usage in the classical scientific process has allowed new experimentation in medicine. We report on the design process of a MEMS sensor being used for muscle trauma evaluation in diagnosing acute compartment syndrome (ACS), a medical ailment costing society billions of dollars per year. Objectives: Modeling the disease with scientific process allows a more complete under-standing of the disease. The goal was to formulate a hypothesis that could be tested to aid in making the diagnosis of ACS accurately. Methods: Scientific process was observed throughout the disease modelling process. Background information was improved and clarified, new pre-clinical models were de-signed and verified, a hypothesis built on pressure measurement with MEMS sensors was carried out, and the testing of the model as verified against previous clinical data was accomplished. Results: Scientific process resulted in hypothesis generation around the relationship of intracompartmental pressure measurement and the disease process and therapy. This resulted in new understanding of ACS, accurate modelling, and sensor design resulting in a MEMS device that has an extremely high sensitivity and specificity (over 99%) in treating and diagnosing the disease. Conclusion: MEMS sensor technology defines the new gold standard of implanting a sensor in a muscle compartment that allows accurate diagnosis of ACS with continuous trends in pressure.
Keywords
Acute Compartment Syndrome; MEMS; Scientific process; biomarker; pressure; sensor; diagnosis; medical device; bioengineering; medicine
Subject
Medicine and Pharmacology, Orthopedics and Sports Medicine
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Edward Harvey
Commenter's Conflict of Interests: Author