Clinical trial NCT03572751: Suitability of Unobtrusive Bed Monitoring and Wrist-worn Heart Rate Monitor for Patient Monitoring
Official title: Suitability of Unobtrusive Bed Monitoring and Wrist-worn Heart Rate Monitor for Patient Monitoring
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Arrhythmia
Hemorrhage
Septic Shock
Consciousness, Loss of
Sleep
Keywords: Sensor
Wearable
Lead sponsor: Tampere University Hospital
Sponsor class: OTHER
Collaborators: name: Tampere University of Technology
name: Tampere University
First posted: 2018-06-28
Enrollment: 36
Sex: ALL
Minimum age (years): 50
Maximum age (years): 120
Standard ages: ADULT
OLDER_ADULT
Observational model: CASE_CONTROL
Time perspective: PROSPECTIVE
Sampling method: PROBABILITY_SAMPLE
Study population: Caucasian

Brief summary: Novel technology enables it to monitor noninvasively the vital signs of a patient. Such a monitoring is immediately required to improve patient safety and to reduce hospital readmissions. In this study, novel bed- and wearable sensors are studied for this purpose.

Detailed description: Unobtrusive bed monitoring devices have gained popularity in the area of voluntary sleep quality monitoring for wellness purposes. Most of these devices rely on the measurement of ballistocardiographic forces caused by the acceleration of blood when the heart pumps it to aorta, forces caused by respiration movements and other movements of the person being monitored. A thin film-type force sensor placed under the bed mattress, between the matrices or under the bed sheet is often used for measuring these forces. While proven to provide adequate reliability and accuracy for wellness monitoring of healthy people, unobtrusive bed monitoring solutions have not yet been widely deployed in hospital patient monitoring even though there would be much use for such technology e.g. in regular hospital wards where currently the amount of patient monitoring is very limited.

If proven operational in this application, bed monitoring technology would provide tremendous benefits in both clinical and home monitoring scenarios. Wrist worn pulse plethysmography (PPG) devices have increased their popularity as heart rate monitors, referred as optical heart rate monitors (OHR) for sports and wellness in recent years and their ability to measure average heart rate during movement and beat-to-beat heart rate while at rest accurately with healthy people has been shown.

The objective of the study is to collect ECG and movement data measured with a wearable ECG monitor and simultaneously record data with unobtrusive bed sensor and wrist worn PPG device. Data recorded with the bed and wrist sensors and vital parameters calculated from that or provided by the monitoring devices directly will be compared with the reference.

The purpose of the study is to gain knowledge about the feasibility of unobtrusive bed and wrist monitoring devices for patient monitoring. The collected data will directly provide information on the accuracy of the current algorithms of the monitors. Besides this evaluation, the collected data will be used in developing new algorithms for detection of cardiac problems.

The study includes collection of data from vascular patients referred to surgical operation in Tampere University Hospital. Data collection takes place at vascular surgical ward where one dedicated research bed is equipped with bed monitoring devices. Another group of subjects is formed by healthy volunteers.

Eligibility criteria: Inclusion Criteria:

* Age\>50
* Indication for operation: peripheral arterial bypass and/or endarterectomy, aortic surgery, carotid surgery
* Volunteering

Exclusion Criteria:

* Pacemaker
* Denial

Primary outcomes:
measure: Accuracy and precision of heart rate (1/s) measurement by a bed sensor
timeFrame: 24 hours
measure: Accuracy and precision of heart rate variability (ms) measurement by a bed sensor
timeFrame: 24 hours
measure: Accuracy and precision of respiratory rate (1/min) measurement by a bed sensor
timeFrame: 24 hours
measure: Accuracy and precision of body movement detection
timeFrame: 24 hours
Secondary outcomes:
measure: Duration of light sleep
timeFrame: 24 hours
measure: Duration of rapid eye movement (REM) sleep
timeFrame: 24 hours
measure: Duration of deep sleep
timeFrame: 24 hours
Other outcomes:
Locations:
city: Tampere
country: Finland
facility: Tampere University Hospital
Study officials:
References: