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This clinical investigation assesses the performance of PaMo patient monitor system (PaMo) and its wearable sensing devices that combines continuous IP, ECG and PPG in detecting developing respiratory depression episodes. PaMo patient monitor system consists of a wearable measurement unit worn on a patient, bedside mobile unit that receives the data from the wearable unit through Bluetooth Low Energy connection, visualises it, and can be relayed further to the central unit through WiFi network.
Full description
Monitoring of voluntary subjects undergoing major surgery requiring postoperative intensive care treatment with PaMo patient monitoring device that includes continuous ECG, respiration and PPG monitoring.
The monitoring device is connected during anaesthesia preparation before induction of general anaesthesia and monitoring is continued throughout the surgery and in the intensive care unit (ICU) for total of 24 hours. For reference data, GE Carescape B850 patient monitors are used continuously for oxygen saturation, ECG and respiration signals. The data are collected from the reference patient monitor using a S/5 collect software and a study computer. In addition, to obtain a gold standard reference for SpO2 with blood gas analyzer arterial samples are taken every two hours during anesthesia and in the ICU concurrently with the routine checkups. During the surgery, an arterial cannula collects continuous blood pressure data and can be used for taking blood samples. The data collected with PaMo device and reference monitor are analyzed in Tampere University by researchers and used in device, software and algorithm development.
User experience information and usability feedback are collected at the end of the study from the medical staff with an interview form.
The study does not include a control group. All subjects are using the devices in similar way and the parameters collected from the same individual using two different methods are compared.
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30 participants in 1 patient group
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Jarkko Harju
Data sourced from clinicaltrials.gov
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