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Uim100c

Manufactured by Biopac
Sourced in United States

The UIM100C is a universal interface module that serves as an analog-to-digital converter, allowing the acquisition and recording of various physiological signals. It provides connectivity to multiple sensors and transducers, enabling data collection for research and laboratory applications.

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4 protocols using uim100c

1

Photoplethysmogram Study of Healthy Volunteers

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In all, 57 healthy volunteers (34 men and 23 women) ranging from 22 to 60 years of age (mean (SD): 29.5 (5.9) years of age) participated in the PPG study. None of the participants had psychological or neurological disorders. All subjects provided their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Institutional Review Board of the Seoul National University Hospital (IRB No. C-1703-045-837).
An MP150 data acquisition system (BIOPAC Systems, Inc., Goleta, CA, USA) simultaneously recorded a finger photoplethysmogram as a reference and the foot photoplethysmogram at a sampling rate of 500 Hz. As a reference, finger PPG was performed using a qualified PPG module (PPG100C, BIOPAC) with a paired (TSD200, BIOPAC) infrared (IR) LED and PD. A Velcro strap was used to fix the LED-PD pair to the middle fingertip of each participant’s right hand. The foot photoplethysmogram was recorded using a universal interface module (UIM100C, BIOPAC) and LED-PD pairs on a printed circuit board.
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2

Stress-Induced Physiological Responses

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We performed a stress-inducing experiment with five sessions: BA-S, MIS-S, MOS-S, SES-S, and RE-S. In BA-S and RE-S, a black cross mark was displayed on a white background on the monitor. The difference between BA-S and RE-S is their order during the experiment. The flow of our experiment is shown in Figure 1. The length of each session is four minutes. Whenever each session finished, the subject rested for 10 min to reduce the effect of the previous session. All experiments were performed while the subjects were seated in a comfortable chair.
Three physiological signals were measured from each subject during the experiment: a photoplethysmogram (PPG), electrodermal activity (EDA), and skin temperature (SKT). The physiological signals were obtained using the Biopac PPG100C, Biopac EDA100C, and UIM100C systems (Biopac System, Inc., Goleta, CA, USA). The PPG sensor was attached to the index finger, EDA sensors were attached to the middle and ring fingers, and the SKT sensor was attached to the thumb of the non-dominant hand. Each physiological signal was sampled at 400 Hz according to the manufacturer’s instructions, using the Biopac Acknowledge 4.2.0 software (Biopac System, Inc.). Figure 1 shows the overall experimental procedures.
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3

Multimodal Neurophysiological Monitoring

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Signals were recorded initially with Spike 2 ver. 8.0 software (Cambridge Electronic Design Ltd. Ambu, Ballerup Denmark) later with Biopac System Inc. MP150 using Acknowledge 4.4 software (oxy200, UIM100c, EMG 100c x3, EEG 100c x2, EKG 100c x1, DA 100c x3: TSD 160A x2 and TSD 104A; Biopac Systems, Inc., Goleta, CA)
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4

Physiological Signal Acquisition and Analysis

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Respiration and ECG signals were amplified (Biopac DA100C and MRIECG100 amplifiers, respectively), digitized, displayed and recorded using a conventional physiological recording device (Biopac MP150 with interface unit UIM100C, Biopac Inc., Goleta, USA). The MRIECG100 amplifier has a slew-rate limiter in order to reduce gradient interference, and the standard built-in audio-filters invoke a 4 ms signal propagation delay. The DA100C amplifier has a 10 Hz low pass filter which invokes a delay >50 ms to the respiration signal and which is accounted for with the dynamic re-acquisition. The ECG and respiration signals were gain-adjusted on a per animal basis, as required, to fit within the ±10 V range as required by the MP150 digitiser and were also passed to the custom-made Gating Control Unit (GCU). A commercially available ECG preamplifier and data recording/acquisition system was chosen to reduce the burden of medical device certification and isolation, extensive GUI software programming, and much design effort needing to be spent on comparatively commodity hardware.
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