Minimally Invasive, Bioadaptive Multimodal Sensor Probe with Safe Deployment for Real‐Time Acute Compartment Syndrome Diagnosis

Seung Gi Seo; Seungyeob Kim; Seonggwang Yoo; Seyong Oh; Haiwen Luan; Zengyao Lv; Bosung Kim; Shupeng Li; Di Lu; Jong Uk Kim; Yaeshin Park; Jae Hee Lee; Hyeon Bin Jo; Amanda M. Westman; William Moritz; Joseph Ribaudo; Yonggang Huang; Mitchell A. Pet; Sung Hun Jin; John A. Rogers

doi:10.1002/advs.202506942

journal article·2025-09Open access

Minimally Invasive, Bioadaptive Multimodal Sensor Probe with Safe Deployment for Real‐Time Acute Compartment Syndrome Diagnosis

Seung Gi Seo, Seungyeob Kim, Seonggwang Yoo, Seyong Oh, Haiwen Luan, Zengyao Lv, Bosung Kim, Shupeng Li, Di Lu, Jong Uk Kim, Yaeshin Park, Jae Hee Lee, Hyeon Bin Jo, Amanda M. Westman, William Moritz, Joseph Ribaudo, Yonggang Huang, Mitchell A. Pet, Sung Hun Jin, John A. Rogers

Advanced Science· Volume 12· Issue 33

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Source abstract

Abstract

Abstract Acute Compartment Syndrome (ACS) is a serious medical condition that arises from increased pressure within osteofascial compartments, leading to impaired blood flow and potential tissue damage. Early and accurate diagnosis is critical for preventing permanent damage. Current methods rely largely on qualitative assessments with limited accuracy, and those that exploit invasive pressure measurements often prove inadequate. Herein, a soft materials‐based multimodal sensor probe is introduced, as well as the mechanical and thermal influences to monitor intra‐compartmental pressure, tissue oxygen saturation (StO ₂ ), and blood flow simultaneously at a common location within an affected compartment. The system integrates three sensors into a thin, flexible probe capable of real‐time, wireless data transmission. The device allows for continuous monitoring with high reproducibility and sensitivity, to enhance diagnostic accuracy relative to current clinical practice, with the potential to early diagnosis of an acute compartment syndrome that requires fasciotomies. Large animal model studies, including short‐ and intermediate‐term reliability assessments, highlight the key engineering features. The results reveal expected inverse relationships between pressure, StO ₂ , and flow rate under simulated compartment syndrome conditions. This multimodal approach enhances diagnostic precision, offers real‐time insights, and promises to yield improved outcomes through a comprehensive, quantitative diagnosis of compartment syndrome.

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Research context

OpenAlex topics: Muscle and Compartmental Disorders · Pneumothorax, Barotrauma, Emphysema

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Bio‐Integrated Electronics Northwestern University Evanston IL 60208 USA

Querrey Simpson Institute for Bioelectronics Northwestern University Evanston IL 60208 USA

School of Electrical Engineering Korea Advanced Institute of Science & Technology Daejeon 34141 Republic of Korea

College of Biomedical Science & Health Inje University Gimhae 50834 Republic of Korea

Department of Digital Anti‐aging Healthcare Graduate School of Inje University Gimhae 50834 Republic of Korea

Division of Electrical Engineering Hanyang University ERICA Ansan 15588 Republic of Korea

Department of Mechanical and Aerospace Engineering University of California San Diego La Jolla CA 92093 USA

Department of Civil and Environmental Engineering Northwestern University Evanston IL 60208 USA

School of Microelectronics University of Science and Technology of China Hefei Anhui 230026 China

Department of Information Display Kyung Hee University Seoul 02447 Republic of Korea

Division of Plastic and Reconstructive Surgery Department of Surgery Washington University School of Medicine St. Louis MO 63110 USA

Department of Mechanical Engineering Northwestern University Evanston IL 60208 USA

Department of Materials Science and Engineering Northwestern University Evanston IL 60208 USA

Department of Biomedical Engineering Northwestern University Evanston IL 60208 USA

Funding

National Research Foundation of Korea · Ministry of Science, ICT and Future Planning

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