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Using consumer-wearable technology for remote assessment of physiological response to stress in the naturalistic environment.

ABSTRACT: Psychosocial stress is a major risk factor for morbidity and mortality related to a wide range of health conditions and has a significant negative impact on public health. Quantifying exposure to stress in the naturalistic environment can help to better understand its health effects and identify strategies for timely intervention. The objective of the current project was to develop and test the infrastructure and methods necessary for using wearable technology to quantify individual response to stressful situations and to determine if popular and accessible fitness trackers such as Fitbit® equipped with an optical heart rate (HR) monitor could be used to detect physiological response to psychosocial stress in everyday life. The participants in this study were University of Minnesota students (n = 18) that owned a Fitbit® tracker and had at least one upcoming examination. Continuous HR and activity measurements were obtained during a 7-day observation period containing examinations self-reported by the participants. Participants responded to six ecological momentary assessment surveys per day (~ 2 hour intervals) to indicate occurrence of stressful events. We compared HR during stressful events (e.g., exams) to baseline HR during periods indicated as non-stressful using mixed effects modeling. Our results show that HR was elevated by 8.9 beats per minute during exams and by 3.2 beats per minute during non-exam stressors. These results are consistent with prior laboratory findings and indicate that consumer wearable fitness trackers could serve as a valuable source of information on exposure to psychosocial stressors encountered in the naturalistic environment.

SUBMITTER: Pakhomov SVS

PROVIDER: S-EPMC7094857 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Using consumer-wearable technology for remote assessment of physiological response to stress in the naturalistic environment.

Pakhomov Serguei V S SVS Thuras Paul D PD Finzel Raymond R Eppel Jerika J Kotlyar Michael M

PloS one 20200325 3

Psychosocial stress is a major risk factor for morbidity and mortality related to a wide range of health conditions and has a significant negative impact on public health. Quantifying exposure to stress in the naturalistic environment can help to better understand its health effects and identify strategies for timely intervention. The objective of the current project was to develop and test the infrastructure and methods necessary for using wearable technology to quantify individual response to ...[more]

PMID: 32210441

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Project description:BackgroundAudiovisual streaming technologies allow detailed remote patient assessment and have been suggested to change management and enhance triage. The advent of wearable, head-mounted devices (HMDs) permits advanced teletoxicology at a relatively low cost. A previously published pilot study supports the feasibility of using the HMD Google Glass® (Google Inc.; Mountain View, CA) for teletoxicology consultation. This study examines the reliability, accuracy, and precision of the poisoned patient assessment when performed remotely via Google Glass®.MethodsA prospective observational cohort study was performed on 50 patients admitted to a tertiary care center inpatient toxicology service. Toxicology fellows wore Google Glass® and transmitted secure, real-time video and audio of the initial physical examination to a remote investigator not involved in the subject's care. High-resolution still photos of electrocardiograms (ECGs) were transmitted to the remote investigator. On-site and remote investigators recorded physical examination findings and ECG interpretation. Both investigators completed a brief survey about the acceptability and reliability of the streaming technology for each encounter. Kappa scores and simple agreement were calculated for each examination finding and electrocardiogram parameter. Reliability scores and reliability difference were calculated and compared for each encounter.ResultsData were available for analysis of 17 categories of examination and ECG findings. Simple agreement between on-site and remote investigators ranged from 68 to 100 % (median = 94 %, IQR = 10.5). Kappa scores could be calculated for 11/17 parameters and demonstrated slight to fair agreement for two parameters and moderate to almost perfect agreement for nine parameters (median = 0.653; substantial agreement). The lowest Kappa scores were for pupil size and response to light. On a 100-mm visual analog scale (VAS), mean comfort level was 93 and mean reliability rating was 89 for on-site investigators. For remote users, the mean comfort and reliability ratings were 99 and 86, respectively. The average difference in reliability scores between on-site and remote investigators was 2.6, with the difference increasing as reliability scores decreased.ConclusionRemote evaluation of poisoned patients via Google Glass® is possible with a high degree of agreement on examination findings and ECG interpretation. Evaluation of pupil size and response to light is limited, likely by the quality of streaming video. Users of Google Glass® for teletoxicology reported high levels of comfort with the technology and found it reliable, though as reported reliability decreased, remote users were most affected. Further study should compare patient-centered outcomes when using HMDs for consultation to those resulting from telephone consultation.

Project description:BackgroundWearable continuous monitoring biosensor technologies have the potential to transform postoperative care with early detection of impending clinical deterioration.ObjectiveOur aim was to validate the accuracy of Cloud DX Vitaliti continuous vital signs monitor (CVSM) continuous noninvasive blood pressure (cNIBP) measurements in postsurgical patients. A secondary aim was to examine user acceptance of the Vitaliti CVSM with respect to comfort, ease of application, sustainability of positioning, and aesthetics.MethodsIncluded participants were ≥18 years old and recovering from surgery in a cardiac intensive care unit (ICU). We targeted a maximum recruitment of 80 participants for verification and acceptance testing. We also oversampled to minimize the effect of unforeseen interruptions and other challenges to the study. Validation procedures were according to the International Standards Organization (ISO) 81060-2:2018 standards for wearable, cuffless blood pressure (BP) measuring devices. Baseline BP was determined from the gold-standard ICU arterial catheter. The Vitaliti CVSM was calibrated against the reference arterial catheter. In static (seated in bed) and supine positions, 3 cNIBP measurements, each 30 seconds, were taken for each patient with the Vitaliti CVSM and an invasive arterial catheter. At the conclusion of each test session, captured cNIBP measurements were extracted using MediCollector BEDSIDE data extraction software, and Vitaliti CVSM measurements were extracted to a secure laptop through a cable connection. The errors of these determinations were calculated. Participants were interviewed about device acceptability.ResultsThe validation analysis included data for 20 patients. The average times from calibration to first measurement in the static position and to first measurement in the supine position were 133.85 seconds (2 minutes 14 seconds) and 535.15 seconds (8 minutes 55 seconds), respectively. The overall mean errors of determination for the static position were -0.621 (SD 4.640) mm Hg for systolic blood pressure (SBP) and 0.457 (SD 1.675) mm Hg for diastolic blood pressure (DBP). Errors of determination were slightly higher for the supine position, at 2.722 (SD 5.207) mm Hg for SBP and 2.650 (SD 3.221) mm Hg for DBP. The majority rated the Vitaliti CVSM as comfortable. This study was limited to evaluation of the device during a very short validation period after calibration (ie, that commenced within 2 minutes after calibration and lasted for a short duration of time).ConclusionsWe found that the Cloud DX's Vitaliti CVSM demonstrated cNIBP measurement in compliance with ISO 81060-2:2018 standards in the context of evaluation that commenced within 2 minutes of device calibration; this device was also well-received by patients in a postsurgical ICU setting. Future studies will examine the accuracy of the Vitaliti CVSM in ambulatory contexts, with attention to assessment over a longer duration and the impact of excessive patient motion on data artifacts and signal quality.Trial registrationClinicalTrials.gov NCT03493867; https://clinicaltrials.gov/ct2/show/NCT03493867.

Project description:BackgroundIncreasing efforts toward the prevention of stress-related mental disorders have created a need for unobtrusive real-life monitoring of stress-related symptoms. Wearable devices have emerged as a possible solution to aid in this process, but their use in real-life stress detection has not been systematically investigated.ObjectiveWe aimed to determine the utility of ecological momentary assessments (EMA) and physiological arousal measured through wearable devices in detecting ecologically relevant stress states.MethodsUsing EMA combined with wearable biosensors for ecological physiological assessments (EPA), we investigated the impact of an ecological stressor (ie, a high-stakes examination week) on physiological arousal and affect compared to a control week without examinations in first-year medical and biomedical science students (51/83, 61.4% female). We first used generalized linear mixed-effects models with maximal fitting approaches to investigate the impact of examination periods on subjective stress exposure, mood, and physiological arousal. We then used machine learning models to investigate whether we could use EMA, wearable biosensors, or the combination of both to classify momentary data (ie, beeps) as belonging to examination or control weeks. We tested both individualized models using a leave-one-beep-out approach and group-based models using a leave-one-subject-out approach.ResultsDuring stressful high-stakes examination (versus control) weeks, participants reported increased negative affect and decreased positive affect. Intriguingly, physiological arousal decreased on average during the examination week. Time-resolved analyses revealed peaks in physiological arousal associated with both momentary self-reported stress exposure and self-reported positive affect. Mediation models revealed that the decreased physiological arousal in the examination week was mediated by lower positive affect during the same period. We then used machine learning to show that while individualized EMA outperformed EPA in its ability to classify beeps as originating from examinations or from control weeks (1603/4793, 33.45% and 1648/4565, 36.11% error rates, respectively), a combination of EMA and EPA yields optimal classification (1363/4565, 29.87% error rate). Finally, when comparing individualized models to group-based models, we found that the individualized models significantly outperformed the group-based models across all 3 inputs (EMA, EPA, and the combination).ConclusionsThis study underscores the potential of wearable biosensors for stress-related mental health monitoring. However, it emphasizes the necessity of psychological context in interpreting physiological arousal captured by these devices, as arousal can be related to both positive and negative contexts. Moreover, our findings support a personalized approach in which momentary stress is optimally detected when referenced against an individual's own data.

Project description:BackgroundThe COVID-19 pandemic necessitated "going remote" with the delivery, support, and assessment of a study intervention targeting older adults enrolled in a clinical trial. While remotely delivering and assessing technology is not new, there are few methods available in the literature that are proven to be effective with diverse populations, and none for older adults specifically. Older adults comprise a diverse population, including in terms of their experience with and access to technology, making this a challenging endeavor.ObjectiveOur objective was to remotely deliver and conduct usability testing for a mobile health (mHealth) technology intervention for older adult participants enrolled in a clinical trial of the technology. This paper describes the methodology used, its successes, and its limitations.MethodsWe developed a conceptual model for remote operations, called the Framework for Agile and Remote Operations (FAR Ops), that combined the general requirements for spaceflight operations with Agile project management processes to quickly respond to this challenge. Using this framework, we iteratively created care packages that differed in their contents based on participant needs and were sent to study participants to deliver the study intervention-a medication management app-and assess its usability. Usability data were collected using the System Usability Scale (SUS) and a novel usability questionnaire developed to collect more in-depth data.ResultsIn the first 6 months of the project, we successfully delivered 21 care packages. We successfully designed and deployed a minimum viable product in less than 6 weeks, generally maintained a 2-week sprint cycle, and achieved a 40% to 50% return rate for both usability assessment instruments. We hypothesize that lack of engagement due to the pandemic and our use of asynchronous communication channels contributed to the return rate of usability assessments being lower than desired. We also provide general recommendations for performing remote usability testing with diverse populations based on the results of our work, including implementing screen sharing capabilities when possible, and determining participant preference for phone or email communications.ConclusionsThe FAR Ops model allowed our team to adopt remote operations for our mHealth trial in response to interruptions from the COVID-19 pandemic. This approach can be useful for other research or practice-based projects under similar circumstances or to improve efficiency, cost, effectiveness, and participant diversity in general. In addition to offering a replicable approach, this paper tells the often-untold story of practical challenges faced by mHealth projects and practical strategies used to address them.Trial registrationClinicalTrials.gov NCT04121858; https://clinicaltrials.gov/ct2/show/NCT04121858.

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Using consumer-wearable technology for remote assessment of physiological response to stress in the naturalistic environment.

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Using consumer-wearable technology for remote assessment of physiological response to stress in the naturalistic environment.

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