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Trigno system

Manufactured by Delsys
Sourced in United States

The Trigno system is a wireless electromyography (EMG) solution designed for research and clinical applications. It features compact, lightweight sensors that can be easily attached to the body to record muscle activity. The Trigno system provides real-time data transmission and synchronization capabilities, allowing for accurate and reliable measurement of physiological signals.

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9 protocols using trigno system

1

Lower Limb Muscle Activity Measurement

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Surface EMG was measured using the Delsys Trigno system (Delsys Inc., Boston, MA, USA), which consists of portable wireless EMG sensors with four bar electrodes that are attached to the skin directly above the muscle to be examined. Surface EMG sensors record the summated action potentials produced by the muscle fibers of a contracting muscle. Each sensor recorded 3-axis gyroscope and accelerometer data and time data in synchrony with the EMG data.
Four EMG channels were used, each designated to one of the four lower-limb muscles of the more affected limb (VL, BF, TA and medial GAST) according to SENIAM guidelines. An additional sensor was placed at the medial malleolus of the examined limb to record the accelerometer data for gait phase detection. The EMG channels were synchronized in time, facilitating analysis with reference to the gait phases.
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2

Isometric Strength Measurement Protocol

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Forces generated by the participants were recorded at a handle instrumented with a 6-axis force-torque transducer (Omega160, ATI Industrial Automation, Apex, NC, United States) (Figure 1A). Force was sampled at 120 Hz using custom software based on Dragonfly acquisition system (Pittsburgh, 2017 ).
Surface EMG signals were recorded with a wireless Trigno System (Delsys Inc., Boston, MA, United States). EMG activity was recorded from 14 major muscles of the shoulder, arm and forearm of the participant’s dominant upper limb: superior (ST) and middle trapezius (MT), infraspinatus (Inf), serratus anterior (SA), anterior (AD), middle (MD), and posterior deltoid (PD), pectoralis major (PM, clavicular fibres), short (BS) and long (BL) head of biceps brachii, long (TL) and lateral (TLat) heads of triceps brachii, extensor carpi radialis (ECR), and flexor carpi radialis (FCR). These muscles were chosen for the likely large contribution to tasks’ isometric contractions, as previously recommended to most accurately reconstruct synergies from a subset of muscles (Steele et al., 2013 (link)). Participants’ skin was prepared by rubbing a medical abrasive conductive paste (NuPrep, Weaver). Finally, electrode placement followed SENIAM and Cram’s recommendation guidelines (Hermens et al., 1999 ; Criswell, 2010 ). EMG signals were sampled at 2000 Hz, via a custom software interface.
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3

Upper Limb Muscle Synergy Analysis

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EMG signals were recorded, during both experiments, from the following 13 upper limb muscles: Brachioradialis (BRD), Biceps brachii short head (BSH), Biceps brachii long head (BLH), Triceps brachii lateral head (TLT), Triceps brachii long head (TLN), Deltoid Anterior (DANT), Medial (DMED) and Posterior (DPOST) heads, Pectoralis Major (PM), Inferior head of the Trapezius (TRAP), Teres Major (TMAJ), and Latissimus Dorsi (LD). EMG signals were recorded through a Delsys Trigno system (Delsys, United States), sampled at 2000 Hz and synchronized with the load cell. EMG signals were first filtered in the 20 –400 Hz band by using a 3rd order digital Butterworth filter. The envelopes were then obtained by rectifying the signals and applying a low pass filter (3rd order Butterworth) with a cut-off frequency of 10 Hz. Before muscle synergies extraction, all the envelopes were amplitude normalized. The normalization was done with respect to the subject- and session-specific reference values calculated from the normalization block. During the normalization block, subjects reached three times to 8 targets spaced at 45°. The target associated with the maximal activation of each muscle was identified. The reference normalization value for each muscle was calculated as the average peak envelope value across the three repetitions of the target maximizing the muscle’s activity.
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4

Multi-modal Gait Analysis Protocol

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We collected EMG signals, kinematics, and kinetic data to characterize subjects’ behavior. Surface EMG signals from 15 muscles on each leg were recorded for all subjects (for full list and abbreviations, see Table 2) at 2000 Hz using a Delsys Trigno System (Delsys Inc.). Signals were highpass-filtered to remove undesired movement artifacts and then rectified. We used a second order Butterworth filter (dual-pass) with a cutoff frequency of 30 Hz, which resulted in 80-dB/decade attenuation and zero-lag (Merletti and Parker, 2004 ). Unlike other studies (Torres-Oviedo and Ting, 2007 (link)), we did not apply a subsequent lowpass filter following rectification as we did not require the EMG envelope for our analysis (see EMG Parameters). Kinematic data were collected at 100 Hz with a passive motion analysis system (Vicon Motion Systems). Movements were recorded by placing reflective markers bilaterally on bony landmarks at the ankle (i.e., lateral malleolus) and the hip (i.e., greater trochanter). Ground reaction forces were recorded with an instrumented split-belt treadmill (Bertec Corporation) and sampled at 1000 Hz. Forces along the axis of gravity (Fz) were used to determine when the foot landed (i.e., heel-strike: Fz > 10N) or was lifted off the ground (i.e., toe-off: Fz < 10N).
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5

Kinetic, Kinematic, and EMG Analysis of Human Gait

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We collected kinetic, kinematic, and electromyogram (EMG) data to characterize individuals’ walking pattern. The ground reaction force aligned with gravity (Fz; sampled at 1000 Hz) was used to identify the instants at which the feet landed (i.e., heel-strike: Fz > 10 N) or were lifted from the ground (i.e., toe-off: Fz < 10 N; Iturralde and Torres-Oviedo, 2019 (link)). The positions of the ankles (lateral malleolus) and hips (greater trochanter) were recorded at 100 Hz using a 3D motion analysis system (Vicon Motion Systems). The activity of 15 muscles was recorded bilaterally at 2000 Hz using a Delsys Trigno System (Delsys): gluteus medius, tensor fasciae latae, adductor magnus, hip flexors, rectus femoris, vastus lateralis, vastus medialis, semitendinosus, semimembranosus, biceps femoris, gastrocnemius medialis, gastrocnemius lateralis (LG), soleus, peroneus, and tibialis anterior. EMG signals were high-pass filtered with a 30 Hz fourth-order Butterworth dual-pass filter and subsequently rectified (Merletti and Parker, 2005 ).
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6

Multimodal Analysis of Locomotor Adaptation

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Kinematic data were collected with the Vicon system (Denver, US) using the standard lower limb “plug-in gait” setup [86 ] and sampled at 120 frames per second. The split-belt treadmill was instrumented with force plates under both belts to record kinetic data, sampled at 1200 Hz. The activity of the muscles was recorded using a 1200 Hz sampling frequency using a Delsys (Boston, US) Trigno system. Sixteen muscles (8 muscles bilaterally) were recorded: Tensor Fasciae Latae (TFL), Rectus Femoris (RF), Vastus Lateralis (VL), Tibialis Anterior (TA), Gluteus Maximus (Gmax 2), Biceps Femoris Long (BFl), Gastrocnemius Lateralis (GL), Soleus (Sol). The placement of the EMG sensors was performed according to SENIAM recommendations [87 ]. The muscles were selected for their role in flexion/extension of the hip, knee and ankle, although the TFL also contributes to hip abduction. This setup is consistent with another study on robot-induced locomotor adaptation [17 ].
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7

Trapezius Muscle EMG Analysis Protocol

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After the identification for electrode placement and the captured baseline ultrasonic images, the area will be cleaned with alcohol and water. The Delsys Galelio sensor will be placed directly on the identified area. The EMG sensor (bandwidth of 20–450 Hz) consists of 4 metal contacts for detecting the signal at the skin surface. Both the right and left sides of the trapezius will be measured.
The Delsys Trigno system, which includes sensors, the Trigno base station, and the EMGworks software, will be used to decompose the acquired EMG signals into individual motor units. The following parameters will be analyzed: the firing times and frequency of individual motor units, motor unit action potential amplitude and shapes [40 (link)–42 (link)], the root mean square value (RMS) of each channel and of the entire signal [22 (link)], the coefficient of variation for force steadiness [43 (link)], and the centroid of the EMG signal in the cranial-caudal and the medial-lateral directions [22 (link)]. This will be repeated for each contraction.
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8

Comprehensive EMG Muscle Activation Monitoring

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Following SENIAM recommendations for skin preparation and sensor placements (Hermens et al., 2000 (link)), the skin was shaved and cleaned with alcohol on the dominant leg (ball kicking) (Burnett et al., 2011 (link); Hurley et al., 2016 (link)). Wireless EMG sensors (Trigno System, Delsys Inc., Boston, USA) were placed on the lateral head of the GAS, soleus (SL), TA, peroneus longus (PL), RF, VL, BF long head, semitendinosus (ST), Tensor Fasciae Latae (TFL) and Glu) (see details and figures of placements in http://www.seniam.org/). Sampling frequency was 2.0 kHz. Vertical acceleration was recorded at 148.1 Hz from the acceleration channel of a Trigno sensor (Delsys, Resolution of 16 bits, Bandwidth of 50 Hz) affixed at mid-thigh (RF sensor).
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9

Normalized EMG Analysis of Upper Trapezius

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The EMG signal was collected using a Delsys Trigno system and analyzed using Delsys EMGworks ® (Delsys, NA) acquisition software. All raw EMG data were collected at a sampling rate of 2000 Hz. The raw data were band-pass filtered between 30 and 500 Hz using a finite impulse response filter and then further smoothed using root mean square method with a window length of 125 ms and window overlap of 62.5 ms. The MVIC was determined by identifying the highest activity during a 500-ms window during one of the two 5-second MVIC for each tested muscle. The average root mean square of the total arc of motion (concentric and eccentric phase) of the 3 test repetitions was normalized based on the MVIC and expressed as %MVIC for each muscle under each movement condition. Finally, 2 muscle activation ratios were calculated by dividing the normalized EMG activity of the UT by that of the SA (UT/SA activation ratio) and by dividing the normalized EMG activity of the UT by that of the LT (UT/LT activation ratio).
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