{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T00:17:04Z","timestamp":1706228224426},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684567","type":"print"},{"value":"9781643684574","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,25]]},"abstract":"<jats:p>Decompressive craniectomy (DC) is a surgical procedure where a portion of the skull is removed to relieve potentially fatal brain swelling. As the swelling can take months to subside, the patient is discharged from an acute care facility to recover prior to cranioplasty (reconstruction surgery). Cranioplasty is associated with complications due to infection, seizure, haematoma and death. The interval between these surgeries is potentially a modifiable risk factor to reduce the rate of complication. We aim to allow clinicians to remotely monitor patients to facilitate an optimal pre-operative review. We have developed a platform technology encompassing a \u2018smart\u2019 device fitted into a skullcap to measure physiological parameters, such as changes in brain swelling, and a clinician portal that allows remote viewing of the patients\u2019 physiological data. The use of patient generated data during the transition between craniectomy and cranioplasty has the potential to significantly improve neurorehabilitation outcomes for patients.<\/jats:p>","DOI":"10.3233\/shti231002","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:22:33Z","timestamp":1706178153000},"source":"Crossref","is-referenced-by-count":0,"title":["Sensing Swelling: Towards Remote Monitoring of Craniectomy Patients"],"prefix":"10.3233","author":[{"given":"DanaKai","family":"Bradford","sequence":"first","affiliation":[{"name":"Australian eHealth Research Centre, CSIRO"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karl","family":"von Richter","sequence":"additional","affiliation":[{"name":"Data 61, CSIRO"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ganesha","family":"Thayaparan","sequence":"additional","affiliation":[{"name":"Anatomics"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Gibson","sequence":"additional","affiliation":[{"name":"Australian eHealth Research Centre, CSIRO"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aeyohan","family":"Furtado","sequence":"additional","affiliation":[{"name":"Data 61, CSIRO"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Owbridge","sequence":"additional","affiliation":[{"name":"Anatomics"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"D\u2019Urso","sequence":"additional","affiliation":[{"name":"Anatomics"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is Accessible"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI231002","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:22:34Z","timestamp":1706178154000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI231002"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti231002","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}