Multi-signal Visualization of Physiology (MVP): a novel visualization dashboard for physiological monitoring of Traumatic Brain Injury patients.
To prevent Traumatic Brain Injury (TBI) patients from secondary brain injuries, patients' physiological readings are continuously monitored. However, the visualization dashboards of most existing monitoring devices cannot effectively present all physiological information of TBI patients and are also ineffective in facilitating neuro-clinicians for fast and accurate diagnosis. To address these shortcomings, we proposed a new visualization dashboard, namely the Multi-signal Visualization of Physiology (MVP). MVP makes use of multi-signal polygram to collate various physiological signals, and it also utilizes colors and the concept of "safe/danger zones" to assist neuro-clinicians to achieve fast and accurate diagnosis. Moreover, MVP allows neuro-clinicians to review historical physiological statuses of TBI patients, which can guide and optimize clinicians' diagnosis and prognosis decisions. The performance of MVP is tested and justified with an actual Philips monitoring device.
Anglo-Chinese School, Singapore.
Kevin
K
Sebastian
Vivian
V
Sari
Liang Yu
LY
Loy
Feng
F
Zhang
Zhuo
Z
Zhang
Mengling
M
Feng
D001930:Brain Injuries / Q000175:diagnosis* / Q000503:physiopathology*; D003116:Color; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*