Head-compliant microstrip split ring resonator for non-invasive healing monitoring after craniosynostosis-based surgery.

bending biomechanics biomedical equipment bone bone grafts bone healing calvarial bone osteogenesis calvarial defects computational head models computational software technology microwave studio-based simulation copper craniosynostosis-based surgery defect area dielectric properties elasticity head curvatures head phantom models head-compliant microstrip split ring resonator highly directive proximity-coupled split-ring resonator human head liquid alloy liquid alloys microstrip resonators microwave resonators monitoring systems newborn children noninvasive healing monitoring osteogenesis process paediatrics patient monitoring phantoms polydimethylsiloxane post-operative monitoring reconstructive surgical procedures resonance frequency skin skin elasticity soft proximity-coupled split-ring resonator split ring resonators surgery

Journal

Healthcare technology letters
ISSN: 2053-3713
Titre abrégé: Healthc Technol Lett
Pays: England
ID NLM: 101646459

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 13 11 2018
revised: 17 09 2019
accepted: 08 11 2019
entrez: 20 3 2020
pubmed: 20 3 2020
medline: 20 3 2020
Statut: epublish

Résumé

A soft and highly directive, proximity-coupled split-ring resonator fabricated with a liquid alloy, copper and polydimethylsiloxane (PDMS) is presented. The same was designed for sensing osteogenesis of calvarial bone. As dielectric properties of bone grafts in ossifying calvarial defects should change during the osteogenesis process, devices like this could monitor the gradual transformation of the defect into bone by differentiating changes in the dielectric properties as shifts in the resonance frequency. Computational Software Technology (CST) Microwave Studio®-based simulation results on computational head models were in good agreement with laboratory results on head phantom models, which also included the comparison with an in-vivo measurement on the human head. A discussion based on an inductive reasoning regarding dynamics' considerations is provided as well. Since the skin elasticity of newborn children is high, stretching and crumpling could be significant. In addition, due to typical head curvatures in newborn children, bending should not be a significant issue, and can provide higher energy focus in the defect area and improve conformability. The present concept could support the development of soft, cheap and portable follow-up monitoring systems to use in outpatient hospital and home care settings for post-operative monitoring of bone healing after reconstructive surgical procedures.

Identifiants

pubmed: 32190338
doi: 10.1049/htl.2018.5083
pii: HTL.2018.5083
pmc: PMC7067054
doi:

Types de publication

Journal Article

Langues

eng

Pagination

29-34

Références

Sensors (Basel). 2018 Dec 01;18(12):
pubmed: 30513719
Phys Med Biol. 1996 Nov;41(11):2251-69
pubmed: 8938025
J Neurosurg. 2007 Jul;107(1 Suppl):43-5
pubmed: 17647307
J Radiat Res. 2018 Apr 1;59(suppl_2):ii130-ii136
pubmed: 29420748
Biomed Microdevices. 2005 Dec;7(4):281-93
pubmed: 16404506
PLoS One. 2017 Jul 24;12(7):e0181805
pubmed: 28742150
Sensors (Basel). 2018 Feb 21;18(2):
pubmed: 29466312
Plast Reconstr Surg. 2017 Jul;140(1):177e-191e
pubmed: 28654618
Proc Inst Mech Eng H. 2018 Apr;232(4):323-343
pubmed: 29506427
Genet Med. 2014 Apr;16(4):302-10
pubmed: 24071792
J Nucl Med. 2017 Jun;58(6):865-868
pubmed: 28490467
Sci Rep. 2015 Feb 12;5:8419
pubmed: 25673261
Eur J Hum Genet. 2011 Apr;19(4):369-76
pubmed: 21248745
J Craniofac Surg. 2009 Sep;20 Suppl 2:1843-50
pubmed: 19816363
ACS Appl Mater Interfaces. 2014 Mar 26;6(6):4248-53
pubmed: 24593878
J Craniofac Surg. 2006 Jan;17(1):91-8; discussion 98-9
pubmed: 16432414
J Adolesc Health. 2013 May;52(5 Suppl):S93-7
pubmed: 23601618

Auteurs

Mauricio David Perez (MD)

Department of Engineering Sciences, The Angstrom Laboratory, Uppsala University, 751 21 Uppsala, Sweden.

Seung Hee Jeong (SH)

Department of Engineering Sciences, The Angstrom Laboratory, Uppsala University, 751 21 Uppsala, Sweden.

Sujith Raman (S)

Department of Electronics and Instrumentation, Bharathiar University, Coimbatore, India.

Daniel Nowinski (D)

Department of Surgical Sciences, Uppsala University Hospital, 751 85 Uppsala, Sweden.

Zhigang Wu (Z)

Department of Engineering Sciences, The Angstrom Laboratory, Uppsala University, 751 21 Uppsala, Sweden.
State Key Laboratory of Digital Manufacturing and Equipment Technology, School of Mechanical Science & Engineering, Huazhong University of Science & Technology, Wuhan 430074, People's Republic of China.

Syaiful M S Redzwan (SMS)

Department of Engineering Sciences, The Angstrom Laboratory, Uppsala University, 751 21 Uppsala, Sweden.

Jacob Velander (J)

Department of Engineering Sciences, The Angstrom Laboratory, Uppsala University, 751 21 Uppsala, Sweden.

Zhiwei Peng (Z)

School of Minerals Processing and Bioengineering, Central South University, Changsha, Hunan 410083, People's Republic of China.

Klas Hjort (K)

Department of Engineering Sciences, The Angstrom Laboratory, Uppsala University, 751 21 Uppsala, Sweden.

Robin Augustine (R)

Department of Engineering Sciences, The Angstrom Laboratory, Uppsala University, 751 21 Uppsala, Sweden.

Classifications MeSH