Wearable Respiratory Data During Pulmonary Rehabilitation Exercises (Magnetic Field-Based and Piezoelectric-Based Wearables Against Airflow Transducer)

Citation Author(s):
Ana Sofia
Carmo
Instituto de Telecomunicações. Dept. of Bioengineering of Instituto Superior Técnico, Portugal.
Inês
Carvalho
Instituto de Telecomunicações. Dept. of Bioengineering of Instituto Superior Técnico, Portugal.
Joana F.
Pinto
Clynx Health, Clynxio LDA
Gonçalo
Chambel
Clynx Health, Clynxio LDA
Ana
Martins
Unidade de Reabilitação Pulmonar, Pulmonology Dept., Centro Hospitalar Lisboa Norte, Portugal. Escola Superior de Saúde da Cruz Vermelha Portuguesa, Portugal.
Rute
Roberto
Unidade de Reabilitação Pulmonar, Pulmonology Dept., Centro Hospitalar Lisboa Norte, Portugal.
Hugo
Ferreira
Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Portugal.
Fátima
Rodrigues
Unidade de Reabilitação Pulmonar, Pulmonology Dept., Centro Hospitalar Lisboa Norte, Portugal. Instituto de Saúde Ambiental, Associate Laboratory TERRA, Faculdade de Medicina da Universidade de Lisboa, Portugal.
Ana
Fred
Instituto de Telecomunicações. Dept. of Bioengineering of Instituto Superior Técnico, Portugal.
Hugo
Plácido da Silva
Instituto de Telecomunicações. Dept. of Bioengineering of Instituto Superior Técnico, Portugal. LUMLIS - The Lisbon ELLIS Unit $|$ European Laboratory for Learning and Intelligent Systems, Portugal.
Submitted by:
Ana Carmo
Last updated:
Thu, 05/16/2024 - 10:13
DOI:
10.21227/tkxr-xf96
Data Format:
Links:
License:
0
0 ratings - Please login to submit your rating.

Abstract 

Dataset for validation of a new magnetic field-based wearable breathing sensor (MAG), which uses the movement of the chest wall as a surrogate measure of respiratory activity. Based on the principle of variation in magnetic field strength with the distance from the source, this system explores Hall effect sensing, paired with a permanent magnet, embedded in a chest strap.

The proposed wearable device was evaluated using the gold-standard as a reference system - an airflow transducer - and compared to a commonly used wearable device with analogous usability but with a different working principle - a piezoelectric-based sensor (PZT) embedded in a chest strap.

A total of 16 healthy participants (M/F parity) performed 15 different activities, representative of pulmonary rehabilitation exercises, simultaneously using the three devices. The dataset was created for evaluation of the proposed device based on detection of flow reversal events, as well as fiducials detection latency.

The 15 activities executed by the participants were: standing normal breathing (STNB); seated normal breathing (SNB); seated guided-breathing (SGB); normal/deep-alternated breathing (MIXB); march (MCH); squat (SQT); adduction/abduction of the left/right arm (AAL/AAR); adduction/abduction of the left/right leg (ALL/ALR); upwards (overhead) left/right arm extension (UAL/UAR); shoulder elevation (SE); side stretch (SS); and seated trunk rotation (TR).

Funding Agency: 
Fundação para a Ciência e Tecnologia (FCT), Scientific Employment Stimulus, Ministério da Ciência, Tecnologia e Ensino Superior (MCTES), European Union Funds
Grant Number: 
2022.12369.BD, 2022.04901.CEECIND, UIDB/50008/2020