Training CPR with a wearable real time feedback system

Gruenerbl, Agnes; Javaheri, Hamraz; Monger, Eloise; Gobbi, Mary; Lukowicz, Paul

doi:10.1145/3267242.3267277

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…Based on our results, there are three signi cant categories of sensors that are essential in medical education: 1) Video cameras capture visual information, enabling the recording of medical scenario and content (16, 20), medical procedures (10)(11)(12)17), simulations (12,13,16,18,19,22), and consultations (13). Devices like Google Glass fall into this category as they feature a built-in camera for capturing realtime videos and images; 2) Health monitoring sensors focus on monitoring a person's health status, including vital signs such as blood pressure, heart rate, and oxygen level.…”

Section: Discussionmentioning

confidence: 99%

“…Another study focused on a high delity simulator with a mobile application for teaching cardiopulmonary auscultation, allowing students to practice and learn from a wide range of pathological sounds (21). Additionally, a study compared real-time wearable feedback with traditional training methods for cardiopulmonary resuscitation (CPR), demonstrating the effectiveness of wearable feedback systems in guiding students to perform CPR correctly (22). Furthermore, wearable sensors, such as the Myo armband, were used to support hand hygiene training, enabling measurement and evaluation of hand washing quality in medical education (23).…”

Section: -Non-surgical Trainingmentioning

confidence: 99%

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Internet of Things in Medical Education: A Systematic Mapping Review

Behmanesh,

Davarzani,

Shams

et al. 2023

Preprint

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Context The Internet of Things (IoT) has emerged as a promising technology with the potential to transform medical professional training and education. IoT refers to a network of physical items that are embedded with sensors, software, and connections that exchange data via the Internet. IoT provides the possibility of merging electronic health records, medical devices, and wearable technologies to create an interactive learning environment in medical education. Objectives The current study's goal was to identify and map current IoT advancements in medicine by conducting a systematic mapping review of the existing research on IoT in medical education. It intends to provide answers to major research question, such as trends and activities in IoT development in medical education. Methods Following PRISMA-ScR guidelines, a systematic mapping review was conducted in major online scientific databases such as Web of Science, Scopus, PubMed, and IEEE Xplore up to end of 2022 to identify empirical studies related to IoT and medical education. A total of 199 papers were found, from which 24 were ultimately selected based on particular inclusion/exclusion criteria. Results While the majority of medical IoT research are conducted across a network of twelve different countries, the United States has emerged as the leader in developing IoT systems for medical education. The dynamic potential of IoT devices and sensors in medical education included areas such as activity monitoring, physiological monitoring, data collecting, and simulation. In medical education, IoT applications include surgical training, non-surgical teaching, and resident monitoring. Conclusions The study findings highlight the importance of further research efforts aimed at addressing challenges and unlocking the full array of benefits IoT has to offer in medical education. It is expected that these discoveries will catalyze interest among medical education leaders and policymakers, encouraging them to explore the promising horizons of wearable technology and IoT applications in medical education, ultimately leading to enhanced educational outcomes and practices.

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Section: Discussionmentioning

confidence: 99%

Section: -Non-surgical Trainingmentioning

confidence: 99%

Internet of Things in Medical Education: A Systematic Mapping Review

Behmanesh,

Davarzani,

Shams

et al. 2023

Preprint

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“…Thus, examiners can use the generated metrics (see Table 1) to give an objective assessment [4]. Depending on where they are placed, these devices are divided into two categories: (1) those worn by the student, which are usually placed on the student's wrist and which provide visual [5] and auditory feedback on the screen and speakers of the device [6]; and (2) those integrated into the mannequin [7], which are more precise in terms of certain parameters (e.g., the world-space position and rotation of the body, the number and accuracy of repetitions, etc. [8]) but with a higher cost and a massive battery consumption [9].…”

Section: Introductionmentioning

confidence: 99%

A New Immersive Virtual Reality Station for Cardiopulmonary Resuscitation Objective Structured Clinical Exam Evaluation

Rodríguez-Matesanz

Guzmán-García

García

et al. 2022

Sensors

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The Objective Structured Clinical Exam (OSCE) is an assessment tool used as a reliable method for clinical competence evaluation of students. This paper presents an investigation focused on the chain of survival, its related exploration, management, and technical skills, and how Virtual Reality (VR) can be used for the creation of immersive environments capable of evaluating students’ performance while applying the correct protocols. In particular, the Cardiopulmonary Resuscitation (CPR) procedure is studied as an essential step in the development of the chain of survival. The paper also aims to highlight the limitations of traditional methods using mechanical mannequins and the benefits of the new approaches that involve the students in virtual, immersive, and dynamic environments. Furthermore, an immersive VR station is presented as a new technique for assessing CPR performance through objective data collection and posterior evaluation. A usability test was carried out with 33 clinicians and OSCE evaluators to test the viability of the presented scenario, reproducing conditions of a real examination. Results suggest that the environment is intuitive, quick, and easy to learn and could be used in clinical practice to improve CPR performance and OSCE evaluation.

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“…Unfortunately, delivering adequate CC is difficult for laypeople [17] and trained rescuers [22]. However, realtime feedback of CC parameters can improve CPR quality [7,8,23].…”

mentioning

confidence: 99%

Cardiopulmonary Resuscitation Support: Comparison of Wrist-, Chest-, and Ear-Worn Devices and Estimation Algorithms

Hermann

Breitling

Röddiger

et al. 2021

2021 International Symposium on Wearable Computers

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Chest compressions (CC) are the most important means of treating cardiac arrest but are challenging to perform. Real-time feedback of depth and rate can improve CC quality. For the first time, we compared three wearable positions and six depth, and rate estimation algorithms under the same conditions. We share their optimal tuning parameters. Our evaluation of earables results in a new prime candidate for high-quality cardiopulmonary resuscitation (CPR) feedback. For depth estimation on chest, wrist, and ear the median absolute deviation (MAD) was 3.4 mm, 4.5 mm, and 5.9 mm, respectively (target depth range: 50-60 mm). Though not necessary for effective CC, fusing sensor locations reduces the depth MAD further to 3.2 mm. CC rate was estimated at less than 1.6 compressions per minute (cpm) MAD in all configurations. Hence, all wearables and algorithms give precise input for live-saving CPR. CCS CONCEPTS• Human-centered computing → Empirical studies in ubiquitous and mobile computing; Ubiquitous and mobile devices.

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Training CPR with a wearable real time feedback system

Cited by 10 publications

References 8 publications

Internet of Things in Medical Education: A Systematic Mapping Review

Internet of Things in Medical Education: A Systematic Mapping Review

A New Immersive Virtual Reality Station for Cardiopulmonary Resuscitation Objective Structured Clinical Exam Evaluation

Cardiopulmonary Resuscitation Support: Comparison of Wrist-, Chest-, and Ear-Worn Devices and Estimation Algorithms

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