Monitoring the Autonomous Nervous System in the ecological environment for an extended period of time remains a challenge that impairs longitudinal neuroscience research in-situ for a large cohort of subjects. To ensure subject compliance and value to research, there is a need for high-fidelity monitoring sensors that are seamless for the patients, can last for at least a week of continuous monitoring and collect raw high-quality data. To maintain control of the session, the data need to be transfered effectively from the patient to an online data platform in a user transparent connectivity solution. Having the data available in real time in the cloud, data quality and subject compliance could be monitored in real time and physiological parameters of interest could be derived and trigger subsequent notifications. The online data could be queried and large retrospective datasets for your research can be inspected. RDS is a startup from France that is tackling these issues with MultiSense, an innovative medical device that removes some of these barriers and collects multimodal data (ECG, PPG, Accelerometer, skin temperature, and piezo) and derived features (HR, RR, Spo2, activity, posture) and streams them into a regulatory compliant e-Health platform. I will present the innovation behind the system and how it enables novel types of longitudinal studies as well as diagnostics.