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Non-contact sensors are gaining popularity in clinical settings to monitor the vital parameters of patients. In this study, we used a non-contact sensor device to monitor vital parameters like the heart rate, respiration rate, and heart rate variability of hemodialysis (HD) patients for a period of 23 weeks during their HD sessions. During these 23 weeks, a total number of 3237 HD sessions were observed. Out of 109 patients enrolled in the study, 78 patients reported clinical events such as muscle spasms, inpatient stays, emergency visits or even death during the study period. We analyzed the sensor data of these two groups of patients, namely an event and no-event group. We found a statistically significant difference in the heart rates, respiration rates, and some heart rate variability parameters among the two groups of patients when their means were compared using an independent sample t-test. We further developed a supervised machine-learning-based prediction model to predict event or no-event based on the sensor data and demographic information. A mean area under curve (ROC AUC) of 90.16% with 96.21% mean precision, and 88.47% mean recall was achieved. Our findings point towards the novel use of non-contact sensors in clinical settings to monitor the vital parameters of patients and the further development of early warning solutions using artificial intelligence (AI) for the prediction of clinical events. These models could assist healthcare professionals in taking decisions and designing better care plans for patients by early detecting changes to vital parameters.

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Antenatal care and child vaccination services are adopted worldwide to reduce the risk of child mortality, maternal mortality, and burden of infectious diseases. This article examines the effect of socioeconomic factors on the utilization of antenatal care and child vaccination services in India. The generalized linear model has been used along with the Indian National Family Health Survey data for the period 2005-2006. The analysis shows that the health insurance plan has a significant effect on the use of antenatal care but not in the child vaccination. Furthermore, there is inequality in the utilization of antenatal care as well as child vaccination services and it is positively related to the wealth. The study suggests that there is a need to improve the socioeconomic status of the financially weaker section of the society for improving the use of child and maternal care services.

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