The dataset originates from a proof-of-concept research project conducted in India, a collaboration involving UK and Indian researchers, engineers, health care professionals, NGOs, etc., aimed at testing the feasibility and acceptability of a portable system for collecting biomarkers during pregnancy. This project targets the reduction of anaemia and hypertension among pregnant women, addressing the critical issue of maternal and infant mortality and morbidity. Despite global progress, these issues remain acute, particularly in low-income groups and regions such as India. The initiative integrates wearable technology for monitoring health biomarkers—such as heart rate variability (HRV), blood pressure variability (BPV), and oxygen saturation variability (OSV)—with participatory learning and action within women's groups. These biomarkers are essential for predicting and managing conditions like pre-eclampsia and anaemia, thereby reducing morbidity and mortality and improving pregnancy outcomes.

The study unfolded in two phases across Hyderabad and Bangalore, engaging with community groups to collect views and opinions, conducting data collection from pregnant women, and facilitating discussion groups with clinical staff and stakeholders. The approach assessed the monitoring system's feasibility and acceptability within both hospital and community settings, emphasising its integration into existing healthcare practices and its potential to foster behavioural change and improve health outcomes. The dataset encompasses qualitative and quantitative data, including surveys, stakeholders' meetings, observational notes, and recorded biomarker readings from participants (exported as CSV files).

In Hyderabad, the feasibility study entailed interactions with healthcare professionals to specify the monitoring system's requirements and the participatory collection of health data from pregnant women. Bangalore hosted discussions with pregnant and postnatal women to gauge the mobile monitoring system's acceptability. The data collection provided diverse inputs, from system usability feedback to technical specifications and user experiences. These insights offer a comprehensive perspective on the potential advantages and challenges of deploying such a monitoring system in community settings, contributing valuable data for further research on improving maternal health through technological and community-based interventions.