The physiological recordings were assessed under similar conditions, i.e., lying in a MRI scanner before (T0) and after physical exercise intervention (T1). Finger pulse was acquired by a photoplethysmograph sensor attached to the distal phalanx of the left index finger. Respiratory activity was assessed by a strain gauge transducer incorporated in a belt tied around the chest approximately at the processus xiphoideus. Both signals were digitized at 500 Hz by the MR-compatible BIOPAC MP150 polygraph (BIOPAC Systems Inc., Goleta, CA, USA). The pulse signal was band-pass filtered between 0.5 and 5 Hz. Pulse waves were detected automatically and checked by visual inspection. This time series were post-processed by an adaptive filter algorithm described in detail by Wessel et al. (2000 (link)). Mean heart rate and root mean square of successive heart beat interval differences (RMSSD) were calculated according to the guidelines of the European Society of Cardiology (Malik et al., 1996 (link)).
Mp150 polygraph
Manufactured by Biopac
Sourced in United States
The BIOPAC MP150 is a versatile data acquisition system designed for recording and analyzing physiological signals. It features multiple input channels for capturing a wide range of biological data, including electrocardiography (ECG), electromyography (EMG), and respiratory measurements. The MP150 provides precise, high-resolution data capture and offers advanced signal processing capabilities for researchers and clinicians.
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Lab products found in correlation
4 protocols using mp150 polygraph
1
Physiological Response to Exercise Intervention
2
Simultaneous fMRI and Physiological Monitoring
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During the fMRI scan, respiratory and cardiac signals were recorded simultaneously using an MR‐compatible BIOPAC MP150 polygraph (BIOPAC Systems Inc., Goleta, CA) and digitized at 500 Hz. Respiratory activity was assessed by a strain gauge transducer incorporated in a belt tied around the chest, approximately at the level of the processus xiphoideus. The cardiac signal, photoplethysmograph (PPG) signal, was recorded using a pulse oximeter attached to the proximal phalanx of the index finger of the subject's left hand.
To remove MRI‐related or movement artifacts, the PPG signal was band‐pass filtered (0.05–3 Hz), and the respiratory signal was low‐pass filtered with a cutoff frequency of 10 Hz. Pulse‐wave onsets were automatically extracted by detecting peaks of the temporal derivative of the filtered PPG signal (Schumann et al.,2018 ). The quality of peak detection was visually inspected. Correction of false positives (related to movements or extrasystolic beats) was performed by seeking the true pulse wave, while negatives (lack of detection) were approximated by taking half of the interval between the two adjacent beats.
To remove MRI‐related or movement artifacts, the PPG signal was band‐pass filtered (0.05–3 Hz), and the respiratory signal was low‐pass filtered with a cutoff frequency of 10 Hz. Pulse‐wave onsets were automatically extracted by detecting peaks of the temporal derivative of the filtered PPG signal (Schumann et al.,
3
Simultaneous fMRI Respiratory and Cardiac Monitoring
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During the fMRI scan, respiratory and cardiac signals were recorded simultaneously using an MR‐compatible BIOPAC MP150 polygraph (BIOPAC Systems Inc., Goleta, CA, USA) and digitized at 500 Hz. Respiratory activity was assessed by a strain gauge transducer incorporated in a belt tied around the chest, approximately at the level of the processus xiphoideus. The cardiac signal, photoplethysmograph (PPG) signal, was recorded using a pulse oximeter attached to the proximal phalanx of the index finger of the subject's left hand.
To remove MRI‐related or movement artifacts, the PPG signal was band‐pass filtered (0.05–3 Hz), and the respiratory signal was low‐pass filtered with a cutoff frequency of 10 Hz. Pulse‐wave onsets were automatically extracted by detecting peaks of the temporal derivative of the filtered PPG signal (Schumann et al.,2018 ). The quality of peak detection was visually inspected by an expert and corrected when necessary.
To remove MRI‐related or movement artifacts, the PPG signal was band‐pass filtered (0.05–3 Hz), and the respiratory signal was low‐pass filtered with a cutoff frequency of 10 Hz. Pulse‐wave onsets were automatically extracted by detecting peaks of the temporal derivative of the filtered PPG signal (Schumann et al.,
4
Multimodal Physiological Monitoring in fMRI
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Cardiac and respiratory activities were recorded (500 Hz) during rs-fMRI data acquisition using an MR-compatible BIOPAC MP150 polygraph (BIOPAC Systems Inc., Goleta, CA, USA). Respiratory activity was assessed by a strain gauge transducer incorporated in a belt tied around the chest, approximately at the level of the processus xiphoideus. The cardiac signal was recorded using a standard photoplethysmograph (PPG) attached to the proximal phalanx of the index finger of the subject’s left hand. The PPG measures blood volume change in the microvascular bed of tissue by measuring the varying intensity of light traveling through the tissue41 . The PPG can be used as a surrogate technique for the electrocardiogram (ECG) and is usually preferred to ECG systems for cardiac recordings since ECG-derived signals exhibit greater susceptibility to electromagnetic and biologic interference42 (link). PPG and respiratory signals were digitally filtered at 0.05–3 Hz, 0–10 Hz, respectively, to remove MRI-related or movement artifacts.
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