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Costantini S, Chiappini M, Malerba G, Dei C, Falivene A, Arlati S, Colombo V, Biffi E, Storm FA. Wrist-Worn Sensor Validation for Heart Rate Variability and Electrodermal Activity Detection in a Stressful Driving Environment. SENSORS (BASEL, SWITZERLAND) 2023; 23:8423. [PMID: 37896517 PMCID: PMC10611310 DOI: 10.3390/s23208423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/25/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023]
Abstract
Wearable sensors are widely used to gather psychophysiological data in the laboratory and real-world applications. However, the accuracy of these devices should be carefully assessed. The study focused on testing the accuracy of the Empatica 4 (E4) wristband for the detection of heart rate variability (HRV) and electrodermal activity (EDA) metrics in stress-inducing conditions and growing-risk driving scenarios. Fourteen healthy subjects were recruited for the experimental campaign, where HRV and EDA were recorded over six experimental conditions (Baseline, Video Clip, Scream, No-Risk Driving, Low-Risk Driving, and High-Risk Driving) and by means of two measurement systems: the E4 device and a gold standard system. The overall quality of the E4 data was investigated; agreement and reliability were assessed by performing a Bland-Altman analysis and by computing the Spearman's correlation coefficient. HRV time-domain parameters reported high reliability levels in Baseline (r > 0.72), Video Clip (r > 0.71), and No-Risk Driving (r > 0.67), while HRV frequency domain parameters were sufficient in Baseline (r > 0.58), Video Clip (r > 0.59), No-Risk (r > 0.51), and Low-Risk Driving (r > 0.52). As for the EDA parameters, no correlation was found. Further studies could enhance the HRV and EDA quality through further optimizations of the acquisition protocol and improvement of the processing algorithms.
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Affiliation(s)
- Simone Costantini
- Scientific Institute I.R.C.C.S. “E. Medea”, 23842 Bosisio Parini, Italy; (M.C.); (G.M.); (C.D.); (A.F.); (E.B.); (F.A.S.)
| | - Mattia Chiappini
- Scientific Institute I.R.C.C.S. “E. Medea”, 23842 Bosisio Parini, Italy; (M.C.); (G.M.); (C.D.); (A.F.); (E.B.); (F.A.S.)
| | - Giorgia Malerba
- Scientific Institute I.R.C.C.S. “E. Medea”, 23842 Bosisio Parini, Italy; (M.C.); (G.M.); (C.D.); (A.F.); (E.B.); (F.A.S.)
| | - Carla Dei
- Scientific Institute I.R.C.C.S. “E. Medea”, 23842 Bosisio Parini, Italy; (M.C.); (G.M.); (C.D.); (A.F.); (E.B.); (F.A.S.)
| | - Anna Falivene
- Scientific Institute I.R.C.C.S. “E. Medea”, 23842 Bosisio Parini, Italy; (M.C.); (G.M.); (C.D.); (A.F.); (E.B.); (F.A.S.)
| | - Sara Arlati
- Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, 23900 Lecco, Italy; (S.A.); (V.C.)
| | - Vera Colombo
- Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, 23900 Lecco, Italy; (S.A.); (V.C.)
| | - Emilia Biffi
- Scientific Institute I.R.C.C.S. “E. Medea”, 23842 Bosisio Parini, Italy; (M.C.); (G.M.); (C.D.); (A.F.); (E.B.); (F.A.S.)
| | - Fabio Alexander Storm
- Scientific Institute I.R.C.C.S. “E. Medea”, 23842 Bosisio Parini, Italy; (M.C.); (G.M.); (C.D.); (A.F.); (E.B.); (F.A.S.)
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Caldirola D, Daccò S, Grassi M, Alciati A, Sbabo WM, De Donatis D, Martinotti G, De Berardis D, Perna G. Cardiorespiratory Assessments in Panic Disorder Facilitated by Wearable Devices: A Systematic Review and Brief Comparison of the Wearable Zephyr BioPatch with the Quark-b2 Stationary Testing System. Brain Sci 2023; 13:brainsci13030502. [PMID: 36979312 PMCID: PMC10046237 DOI: 10.3390/brainsci13030502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/06/2023] [Accepted: 03/10/2023] [Indexed: 03/19/2023] Open
Abstract
Abnormalities in cardiorespiratory measurements have repeatedly been found in patients with panic disorder (PD) during laboratory-based assessments. However, recordings performed outside laboratory settings are required to test the ecological validity of these findings. Wearable devices, such as sensor-imbedded garments, biopatches, and smartwatches, are promising tools for this purpose. We systematically reviewed the evidence for wearables-based cardiorespiratory assessments in PD by searching for publications on the PubMed, PsycINFO, and Embase databases, from inception to 30 July 2022. After the screening of two-hundred and twenty records, eight studies were included. The limited number of available studies and critical aspects related to the uncertain reliability of wearables-based assessments, especially concerning respiration, prevented us from drawing conclusions about the cardiorespiratory function of patients with PD in daily life. We also present preliminary data on a pilot study conducted on volunteers at the Villa San Benedetto Menni Hospital for evaluating the accuracy of heart rate (HR) and breathing rate (BR) measurements by the wearable Zephyr BioPatch compared with the Quark-b2 stationary testing system. Our exploratory results suggested possible BR and HR misestimation by the wearable Zephyr BioPatch compared with the Quark-b2 system. Challenges of wearables-based cardiorespiratory assessment and possible solutions to improve their reliability and optimize their significant potential for the study of PD pathophysiology are presented.
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Affiliation(s)
- Daniela Caldirola
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Italy
- Humanitas San Pio X, Personalized Medicine Center for Anxiety and Panic Disorders, Via Francesco Nava 31, 20159 Milan, Italy
| | - Silvia Daccò
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Italy
| | - Massimiliano Grassi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Italy
| | - Alessandra Alciati
- Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Italy
- Humanitas Clinical and Research Center, IRCCS, Via Manzoni 56, 20089 Rozzano, Italy
| | - William M. Sbabo
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Italy
| | - Domenico De Donatis
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Humanitas San Pio X, Personalized Medicine Center for Anxiety and Panic Disorders, Via Francesco Nava 31, 20159 Milan, Italy
| | - Giovanni Martinotti
- Department of Neuroscience, Imaging and Clinical Sciences, University “G. d’Annunzio”, 66100 Chieti, Italy
| | - Domenico De Berardis
- Department of Mental Health, NHS, ASL 4 Teramo, Contrada Casalena, 64100 Teramo, Italy
- Correspondence:
| | - Giampaolo Perna
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Italy
- Department of Clinical Neurosciences, Villa San Benedetto Menni Hospital, Hermanas Hospitalarias, Via Roma 16, 22032 Albese con Cassano, Italy
- Humanitas San Pio X, Personalized Medicine Center for Anxiety and Panic Disorders, Via Francesco Nava 31, 20159 Milan, Italy
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Ajtay BE, Béres S, Hejjel L. The oscillating pulse arrival time as a physiological explanation regarding the difference between ECG- and Photoplethysmogram-derived heart rate variability parameters. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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