Accurate Measurement of Handwash Quality Using Sensor Armbands: Instrument Validation Study

Author:

Wang ChaofanORCID,Sarsenbayeva ZhannaORCID,Chen XiugeORCID,Dingler TilmanORCID,Goncalves JorgeORCID,Kostakos VassilisORCID

Abstract

Background Hand hygiene is a crucial and cost-effective method to prevent health care–associated infections, and in 2009, the World Health Organization (WHO) issued guidelines to encourage and standardize hand hygiene procedures. However, a common challenge in health care settings is low adherence, leading to low handwashing quality. Recent advances in machine learning and wearable sensing have made it possible to accurately measure handwashing quality for the purposes of training, feedback, or accreditation. Objective We measured the accuracy of a sensor armband (Myo armband) in detecting the steps and duration of the WHO procedures for handwashing and handrubbing. Methods We recruited 20 participants (10 females; mean age 26.5 years, SD 3.3). In a semistructured environment, we collected armband data (acceleration, gyroscope, orientation, and surface electromyography data) and video data from each participant during 15 handrub and 15 handwash sessions. We evaluated the detection accuracy for different armband placements, sensor configurations, user-dependent vs user-independent models, and the use of bootstrapping. Results Using a single armband, the accuracy was 96% (SD 0.01) for the user-dependent model and 82% (SD 0.08) for the user-independent model. This increased when using two armbands to 97% (SD 0.01) and 91% (SD 0.04), respectively. Performance increased when the armband was placed on the forearm (user dependent: 97%, SD 0.01; and user independent: 91%, SD 0.04) and decreased when placed on the arm (user dependent: 96%, SD 0.01; and user independent: 80%, SD 0.06). In terms of bootstrapping, user-dependent models can achieve more than 80% accuracy after six training sessions and 90% with 16 sessions. Finally, we found that the combination of accelerometer and gyroscope minimizes power consumption and cost while maximizing performance. Conclusions A sensor armband can be used to measure hand hygiene quality relatively accurately, in terms of both handwashing and handrubbing. The performance is acceptable using a single armband worn in the upper arm but can substantially improve by placing the armband on the forearm or by using two armbands.

Publisher

JMIR Publications Inc.

Subject

Health Informatics

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1. Use of thermal imaging to measure the quality of hand hygiene;Journal of Hospital Infection;2023-09

2. Evaluation of Hand Washing Procedure Using Vision-Based Frame Level and Spatio-Temporal Level Data Models;Electronics;2023-04-27

3. Setup of Digital Health Care Mechanism for the Smart IPD Booking;2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT);2022-12-26

4. WashSpot: Real-Time Spotting and Detection of Enacted Compulsive Hand Washing with Wearable Devices;Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing;2022-09-11

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