Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: In order to treat many patients despite lacking personnel resources, triage is important in disaster medicine. Various triage algorithms help, but often are used incorrectly or not at all. One potential problem-solving approach is to support triage with Smart Glasses. Objective: In this study, augmented reality was used to display a triage algorithm and telemedicine assistance was enabled to compare the duration and quality of triage with a conventional one. Methods: A specific Android-app was designed for use with Smart Glasses, that add information in terms of augmented reality with two different methods: through the display of a triage algorithm in data glasses and a telemedical connection to a senior emergency physician realized by the integrated camera. A scenario was created as randomized simulation study in which 31 paramedics carried out a triage of 12 patients in three groups: without technical support (control group), with display of a triage algorithm, and with telemedical contact. Results: A total of 362 assessments were performed. Although being quick (16.6 s), in control group the accuracy was only 58.3%. By contrast, accuracy of 91.7% (p = 0.036) was achieved when using technical support via displaying the triage algorithm. Such triage took an average of 37.0 s. The triage wearing data glasses and being telemedically connected achieved 89.6% accuracy (p = 0.01) in 35.0 s. Conclusions: However, triage with data glasses required significantly more time. Whereas in the control group only a tally was recorded, Smart Glasses led to a digital capture of the triage results, which has many tactical advantages. We expect a high potential in the application of Smart Glasses in disaster scenarios when using telemedicine and augmented reality features to improve the quality of triage.

The bans on visiting nursing homes during the COVID-19 pandemic, while intended to protect residents, also have the risk of increasing the loneliness and social isolation that already existed among the older generations before the pandemic. To combat loneliness and social isolation in nursing homes, this trial presents a study during which social networks of nursing home residents and elderly hospital patients were maintained through virtual encounters and robots, respectively. The observational trial included volunteers who were either residents of nursing homes or patients in a geriatric hospital. Each volunteer was asked to fill in a questionnaire containing three questions to measure loneliness. The questionnaire also documented whether video telephony via the robot, an alternative contact option (for example, a phone call), or no contact with relatives had taken place. The aim was to work out the general acceptance and the benefits of virtual encounters using robots for different roles (users, relatives, nursing staff, facilities). Seventy volunteers with three possible interventions (non-contact, virtual encounters by means of a robot, and any other contact) took part in this trial. The frequency of use of the robot increased steadily over the course of the study, and it was regularly used in all facilities during the weeks of visitor bans (n = 134 times). In the hospital, loneliness decreased significantly among patients for whom the robot was used to provide contact (F(1,25) = 7.783, p = 0.01). In the nursing homes, no demonstrable effect could be achieved in this way, although the subject feedback from the users was consistently positive.

Purpose: Demographic change and lack of specialized workforces are challenging. Likewise, home visits by general practitioners (GPs) become rarer. If a nursing home resident develops acute symptoms, nurses are often inclined to call the rescue service. Besides patient-related consequences, this might lead to unnecessary hospitalization and far-reaching health economic costs. Due to legal restrictions of remote treatment in Germany, which were recently loosened, telemedicine is still in the early stages. The aim of this study was to employ a holistic telemedical system for nursing homes which facilitates the connection to a GP and thus avoids unnecessary hospitalizations in the case of ambulatory-sensitive illnesses. Materials and Methods: After an inter-professional requirement analysis, the iterative development was started. In addition to an audio-video connection, several point of care measurements were integrated. Finally, first field tests were performed in a nursing home in a rural area in Germany. Results: One nursing home was equipped with telemedical system based on the results of the requirement analysis and tele-medically connected to a GP. Over a period of seven months, 56 routine and emergency teleconsultations took place. Only one of those required a hospital admission. In addition to video telephony, electrocardiography and assessment of vitals such as pulse, blood pressure, oxygen saturation and auscultation of heart and lungs were applied frequently. Conclusion: A telemedical system including integrated medical devices was successfully developed and has turned out to be helpful and even necessary for careful and reliable decision-making by the GP. First test results show high acceptance for elderly care. Involved patients, nurses, and the GP itemize various specific benefits, including economic, personal, and altruistic issues. Another issue that the current COVID-19 crisis brought to light is lowering the risk of contagion; GPs can replace their home visits by using telepresence combined with point of care measures.

Background: Guidelines provide instructions for diagnostics and therapy in modern medicine. Various mobile devices are used to represent the potential complex decision trees. An example of time-critical decisions is triage in case of a mass casualty incident. Objective: In this randomized controlled crossover study, the potential of augmented reality for guideline presentation was evaluated and compared with the guideline presentation provided in a tablet PC as a conventional device. Methods: A specific Android app was designed for use with smart glasses and a tablet PC for the presentation of a triage algorithm as an example for a complex guideline. Forty volunteers simulated a triage based on 30 fictional patient descriptions, each with technical support from smart glasses and a tablet PC in a crossover trial design. The time to come to a decision and the accuracy were recorded and compared between both devices. Results: A total of 2400 assessments were performed by the 40 volunteers. A significantly faster time to triage was achieved in total with the tablet PC (median 12.8 seconds, IQR 9.4-17.7; 95% CI 14.1-14.9) compared to that to triage with smart glasses (median 17.5 seconds, IQR 13.2-22.8, 95% CI 18.4-19.2; P=.001). Considering the difference in the triage time between both devices, the additional time needed with the smart glasses could be reduced significantly in the course of assessments (21.5 seconds, IQR 16.5-27.3, 95% CI 21.6-23.2) in the first run, 17.4 seconds (IQR 13-22.4, 95% CI 17.6-18.9) in the second run, and 14.9 seconds (IQR 11.7-18.6, 95% CI 15.2-16.3) in the third run (P=.001). With regard to the accuracy of the guideline decisions, there was no significant difference between both the devices. Conclusions: The presentation of a guideline on a tablet PC as well as through augmented reality achieved good results. The implementation with smart glasses took more time owing to their more complex operating concept but could be accelerated in the course of the study after adaptation. Especially in a non–time-critical working area where hands-free interfaces are useful, a guideline presentation with augmented reality can be of great use during clinical management.

The ability to continuously and unobtrusively monitor and classify breathing patterns can be very valuable for automated health assessments because respiration is tightly coupled to many physiological processes. Pathophysiological changes in these processes often manifest in altered breathing patterns and can thus be immediately detected. In order to develop a breathing pattern monitoring system, a study was conducted in which volunteer subjects were asked to breathe according to a predefined breathing protocol containing multiple breathing patterns while being recorded with color and thermal cameras. The recordings were used to develop and compare several respiratory signal extraction algorithms. An algorithm for the robust extraction of multiple respiratory features was developed and evaluated, capable of differentiating a wide range of respiratory patterns. These features were used to train a one vs. one multiclass support vector machine, which can distinguish between breathing patterns with an accuracy of $95.79$ %. The recorded dataset was published to enable further improvement of contactless breathing pattern classification, especially for complex breathing patterns.

The ability to use drones to obtain important vital signs could be very valuable for emergency personnel during mass-casualty incidents. The rapid and robust remote assessment of heart rates could serve as a life-saving decision aid for first-responders. With the flight sensor data of a specialized drone, a pipeline was developed to achieve a robust, non-contact assessment of heart rates through remote photoplethysmography (rPPG). This robust assessment was achieved through adaptive face-aware exposure and comprehensive de-noising of a large number of predicted noise sources. In addition, we performed a proof-of-concept study that involved 18 stationary subjects with clean skin and 36 recordings of their vital signs, using the developed pipeline in outdoor conditions. In this study, we could achieve a single-value heart-rate assessment with an overall root-mean-squared error of 14.3 beats-per-minute, demonstrating the basic feasibility of our approach. However, further research is needed to verify the applicability of our approach in actual disaster situations, where remote photoplethysmography readings could be impacted by other factors, such as blood, dirt, and body positioning.