Integrating RGB-thermal image sensors for non-contact automatic respiration rate monitoring.

Respiration rate (RR) holds significance as a human health indicator. Presently, the conventional RR monitoring system requires direct physical contact, which may cause discomfort and pain. Therefore, this paper proposes a non-contact RR monitoring system integrating RGB and thermal imaging through RGB-thermal image alignment. The proposed method employs an advanced image processing algorithm for automatic region of interest (ROI) selection. The experimental results demonstrated a close correlation and a lower error rate between measured thermal, measured RGB, and reference data. In summary, the proposed non-contact system emerges as a promising alternative to conventional contact-based approaches without the associated discomfort and pain.

Knowledge, Attitude, Practice, and Fear of COVID-19: an Online-Based Cross-cultural Study.

The study aimed to measure Knowledge, Attitude, and Practice (KAP) and fear level towards COVID-19 and explore its cross-cultural variances in knowledge by sociodemographic factors among the general population of 8 different countries over 5 continents. It was a cross-sectional online survey. This survey was conducted in April 2020 among 1296 participants using the "Google Form" platform. Considering the social distancing formula and pandemic situation, we collect data using popular social media networks. Univariate and bivariate analyses were used to explore the collected data on KAP, fear, and sociodemographic factors. Overall knowledge score was 9.7 ± 1.7 (out of 12), and gender differences (female vs male: 9.8 ± 1.6 vs 9.5 ± 1.9) were significant (p = 0.008) in the bivariate analysis. Knowledge score variances were found significant in some regions by gender, marital status, and education qualification. The highest and lowest mean knowledge scores were recorded in the Middle East (10.0 ± 1.7) and Europe (9.3 ± 2.0). Despite having a high fear score (22.5 ± 5.6 out of 35), 78.35% of respondents were positively and 81.7% in a good practice level. Fear score rankings: Middle East (1st; 23.8 ± 5.5), Europe (2nd; 23.2 ± 5.8), Africa (3rd; 22.7 ± 5.0), South Asia (4th; 22.1 ± 5.7), Oceania (5th; 21.9 ± 5.8), and North America (6th; 21.7 ± 5.5). Fear and knowledge were not correlated. KAP and fear variation exist among geographical regions. Gender, marital status, and education qualification are factors in knowledge variances for some regions. KAP and fear measures can help health education programs consider some sociodemographic factors and regions during an outbreak of highly contagious disease and uplift a positive attitude and good practice. Supplementary Information: The online version contains supplementary material available at 10.1007/s11469-021-00638-4.

Noncontact Sensing of Contagion.

The World Health Organization (WHO) has declared COVID-19 a pandemic. We review and reduce the clinical literature on diagnosis of COVID-19 through symptoms that might be remotely detected as of early May 2020. Vital signs associated with respiratory distress and fever, coughing, and visible infections have been reported. Fever screening by temperature monitoring is currently popular. However, improved noncontact detection is sought. Vital signs including heart rate and respiratory rate are affected by the condition. Cough, fatigue, and visible infections are also reported as common symptoms. There are non-contact methods for measuring vital signs remotely that have been shown to have acceptable accuracy, reliability, and practicality in some settings. Each has its pros and cons and may perform well in some challenges but be inadequate in others. Our review shows that visible spectrum and thermal spectrum cameras offer the best options for truly noncontact sensing of those studied to date, thermal cameras due to their potential to measure all likely symptoms on a single camera, especially temperature, and video cameras due to their availability, cost, adaptability, and compatibility. Substantial supply chain disruptions during the pandemic and the widespread nature of the problem means that cost-effectiveness and availability are important considerations.

Non-Contact Automatic Vital Signs Monitoring of Infants in a Neonatal Intensive Care Unit Based on Neural Networks.

Infants with fragile skin are patients who would benefit from non-contact vital sign monitoring due to the avoidance of potentially harmful adhesive electrodes and cables. Non-contact vital signs monitoring has been studied in clinical settings in recent decades. However, studies on infants in the Neonatal Intensive Care Unit (NICU) are still limited. Therefore, we conducted a single-center study to remotely monitor the heart rate (HR) and respiratory rate (RR) of seven infants in NICU using a digital camera. The region of interest (ROI) was automatically selected using a convolutional neural network and signal decomposition was used to minimize the noise artefacts. The experimental results have been validated with the reference data obtained from an ECG monitor. They showed a strong correlation using the Pearson correlation coefficients (PCC) of 0.9864 and 0.9453 for HR and RR, respectively, and a lower error rate with RMSE 2.23 beats/min and 2.69 breaths/min between measured data and reference data. A Bland-Altman analysis of the data also presented a close correlation between measured data and reference data for both HR and RR. Therefore, this technique may be applicable in clinical environments as an economical, non-contact, and easily deployable monitoring system, and it also represents a potential application in home health monitoring.

Development of a Social Skills Assessment Screening Scale for Psychiatric Rehabilitation Settings: A Pilot Study.

CONTEXT: Deficits in social skills may present in a range of psychiatric disorders, particularly in the more serious and persistent conditions, and have an influence on functioning across various domains. AIMS: This pilot study aimed at developing a brief measure, for structured evaluation and screening for social skills deficits, which can be easily integrated into routine clinical practice. SETTINGS AND DESIGN: The sample consisted of 380 inpatients and their accompanying caregivers, referred to Psychiatric Rehabilitation Services at a tertiary care government psychiatric hospital. MATERIALS AND METHODS: The evaluation included an Inpatient intake Proforma and the 20-item Social Skills Assessment Screening Scale (SSASS). Disability was assessed using the Indian Disability Evaluation and Assessment Scale (IDEAS) for a subset of 94 inpatients. STATISTICAL ANALYSIS USED: The analysis included means and standard deviations, frequency and percentages, Cronbach's alpha to assess internal consistency, t-tests to assess differences in social skills deficits between select subgroups, and correlation between SSASS and IDEAS scores. RESULTS: The results indicated the profile of social skills deficits assessed among the inpatients with varied psychiatric diagnoses. The "psychosis" group exhibited significantly higher deficits than the "mood disorder" group. Results indicated high internal consistency of the SSASS and adequate criterion validity demonstrated by correlations with select IDEAS domains. Modifications were made to the SSASS following the pilot study. CONCLUSIONS: The SSASS has potential value as a measure for screening and individualised intervention plans for social skills training in mental health and rehabilitation settings. The implications for future work on the psychometric properties and clinical applications are discussed.