Is ‘breathing in synchrony’ the key for a good psychotherapy outcome?

Will sound feedback be the instrument that lets users accomplish it?

Inspired by Prof. Koole’s research presented in Università Cattolica del Sacro Cuore’s (UNICATT) AffecTech training event in Milan and the Psychology-HCI progress brought to Freiburg’s Herbstakademie conference, research at the wireless biosignals company PLUX focuses on physiological synchrony coupled with audio feedback modalities.

Following up on learnings from KTH Royal Institute of TechnologyUNICATTPLUX collaboration, AffecTech Early Stage Researcher (ESR) Miquel Alfaras (PLUX/UJI) and William Primett (PLUX/UNL) hosted ESR Shadi Ghiasi (University of Pisa) at PLUX, working hands-on with our RESP sensors on the BITalino and the biosignalsplux platforms.

Thanks to AffecTech secondments, the Signal Processing expertise from Pisa BioLAB helps us undertake this inspiring task, providing solid foundations to build upon. By creating a robust platform to assess physiological synchrony we aim to unleash the potential of sensible audio mappings used in emotional self-awareness contexts.

While being a testbed for AffecTech biosignals analysis platforms, research teams networkwide such as KTH, interested in sound interactions, UNICATTUJI, investigating therapeutic alliance, and Lancaster University, extending non-visual physiology feedback, look forward to seeing the results.

Could one-to-one breathing routines be the key for physiological synchrony? Could physiology synchrony help explore new ways of interaction and biofeedback? Is synchrony capable of improving connection between psychotherapists and patients?

Text and image (top right) courtesy of AffecTech researcher Miquel Alfaras (PLUX/UJI)

AffecTech

The AffecTech project is an international collaborative network that advances personal health technologies for affective disorders – depression, anxiety and bipolar. AffecTech is funded by the European Commission under the Horizon 2020 Marie Skłodowska-Curie Innovative Training Networks, via the programme H2020 – EU.1.3.1. – Fostering new skills by means of excellent initial training of researchers.