Semi-Automatic Calibration Method for a Bed-Monitoring System Using Infrared Image Depth Sensors

Examination of a contact detection sensor to prevent self-removal of peripheral intravenous catheters. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2021;2021:4965-4968. [PMID: 34892322 DOI: 10.1109/embc46164.2021.9630388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

If patients are at risk of self-removal of a catheter, it is necessary to check the condition of the catheter frequently. If this is the only way to prevent self-removal, physical restraint of the patient is required. Furthermore, it is currently necessary to reduce human-to-human contact to prevent COVID-19 infection. Therefore, the development of a sensor system to prevent self-removal of a catheter and reduce human-to-human contact is urgent. The purpose of this study is to examine a sensor system that detects the contact of a patient's hand to a peripheral intravenous catheter in order to prevent self-removal in patients with dementia. This study analyzes the use of a capacitance sensor and an energization sensor to detect the contact of a patient's hand to a catheter. Additionally, the time required from the start of peeling the sensor sheet to the removal of the needle was measured. As the results, the capacitance sensor was difficult to use in a clinical setting because the connection between the seat and cable could be unstable depending on the condition of the connections. The energization sensor was able to recognize the contact of a hand to the catheter by detecting its contact with the sensor. It took at least 28 seconds from detection of the hand contact to the beginning of needle removal. Therefore, it is possible for the caregiver to visit the patient's bedside and stop the self-removal when the sensor sheet detects hand contact. This study is the first step in developing the system that prevents self-removal by detecting hand contact and requires several more steps for clinical use. In the future, we will conduct surveys on more subjects and clinical trials on elderly with dementia to examine accuracy, precision, and repeatability. Using the energization sensor, a self-removal prevention system for dementia patients will be further developed.Clinical Relevance- Developing this self-removal prevention system in the future will allow many dementia patients to no longer be physically restrained, and it will make it possible to remotely detect their actions to prevent self-removal while also minimizing the risk of COVID-19 infection.