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Forerunner 945

Manufactured by Garmin
Sourced in Switzerland, Sweden, United States

The Garmin Forerunner 945 is a GPS-enabled multisport watch designed for athletes. It features a heart rate monitor, barometric altimeter, and accelerometer to track various fitness metrics.

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4 protocols using forerunner 945

1

Inertial Sensor-Based Running Motion Analysis

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To collect the necessary raw data, two inertial sensors were used (SpoSens 2.0, Wille Engineering, Germany). The sensors had a size of 77.5 × 37 × 34.5 mm and weighed 45 g each. They functioned as a triaxial accelerometer with up to 400 G (16 G was used), a triaxial Gyroscope with up to 2000°s (maximum was used) and a magnetometer measuring with up to 16 Gauss (maximum was used). The possible sampling rate could be set up to 1.000 Hz (250 Hz was used) and they were constructed as a micro-electro-mechanical system (MEMS). Further, the sensors were equipped with GNSS (max. 5 Hz) technology. They collected and saved the running motion data in three dimensions (x, y, z) on an internal storage device (8192 GB). The sensors were attached to both ankles above each lateral malleolus by a hook-and-loop fastener. All data were received and stored on a GARMIN Forerunner 945 (GARMIN, Schaffhausen, Switzerland) during the entire test session. Earlobe blood samples (each of 10 µl) were analyzed for lactate concentration using a stationary laboratory device (HITADO Super GL compact). Body weight, body fat percentage and active muscle mass (required for the INSCYD analysis) were measured with a Tanita BC-545N body analysis scale (Tanita Europe B.V., Stuttgart, Germany).
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2

Multimodal Gait Analysis Framework

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Each participant was equipped with a smart patch, three Dytran 7300A5 (MEMS) uniaxial variable-capacitance accelerometers positioned perpendicular to each other (sensitivity: 80 mV/g, range: 50 g, mass: 12 g, Dytran Instruments Inc, Chatsworth, CA, USA), two reflective markers on each foot, and Garmin Running Dynamics Pod (Olathe, KS, USA). The smart patch, Dytran MEMS accelerometers, and Garmin Running Dynamics Pods were placed in the lower lumbar region, while two reflective markers were placed in the front part of the participants’ shoes (one on the right shoe and one on the left shoe). The markers were recorded by an infrared (kinematic) motion capture system consisting of 6 Oqus cameras (Oqus 7+, Qualisys, Gothenburg, Sweden). In addition, all measurements were obtained while running in place on bilateral force plates (S2P, Science to Practice Ltd., Ljubljana, Slovenia), see Figure 1.
Dytran accelerometers and S2P bilateral force plates were wired to two synchronized 24-bit Dewe-43 analogue-to-digital converters and DewesoftX data acquisition software (Dewesoft d.o.o., Trbovlje, Slovenia). The Oqus cameras were connected to Qualisys Track Manager (QTM, Qualisys, Gothenburg, Sweden), the Garmin Running Dynamic Pod was connected to a Garmin Forerunner 945, and a smart patch was connected to a custom Windows application (Bio2BITWinApp, STMicroelectronics, Milan, Italy).
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3

Wearable Device Accuracy in Exercise Testing

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All subjects performed formal ramp incremental exercise tests on an electronically braked cycle ergometer equipped with a face mask (Ergospirometry, Cortex, Germany) and a 12-lead electrocardiogram for recording HR and heart rhythm during the exercise test. MetaControl 3000 is a software program used to link the ECG. Custo cardio 100 BT was used as 12-channel ECG and heart rate monitor. The heartbeat is an instant-read from the ECG, averaged over the per respiratory time, and displayed along with the breathing data. Two of the latest commercial wrist-worn wearable devices—the Apple Watch Series 6 (Apple Inc.) and the Garmin Forerunner 945 (Garmin Ltd) were placed on the subjects’ left and right wrists, respectively. PPG sensors were applied to detect blood volume change in wrist level and serve as HR detectors. Bilateral hand grip tools were provided and wrist-worn devices were fitted to the subjects’ wrists snugly to ensure accurate HR measurements. The age, height, and weight of all subjects were input into all devices, including the cardiopulmonary exercise testing (CPET) system and both wearable devices. The two smartwatches were pre-activated and connected to a compatible smartphone via Bluetooth displays. All CPETs were conducted in a well-ventilated laboratory with a controlled temperature of 21–23 °C.
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4

Garmin Forerunner 945 Multisport Tracker

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The multisport activity tracker Garmin Forerunner 945 (Garmin Ltd., 2022; Olathe, KS, USA) (ID 3996687672. firmware 5.50, e6bbb98) is able to detect activity and sleep as well as vital data with several sensors, including a triaxial accelerometer, a Global Navigation Satellite System (GNSS) sensor for GPS or GLONASS and a photodiode sensor for photoplethysmographical measurements of HR, HRV, SpO2 and respiratory rate. The Garmin device allows tracking of sleep stages (light, deep and REM sleep time) in addition to the sleep parameters (TIB, TST, Awake, SOL and WASO) [71 ]. The measured raw data were transmitted to the Garmin Connect cloud via Bluetooth and the Internet and analyzed by Garmin using a proprietary sleep assessment algorithm. The scientific investigator could not influence this process and was blind to it. The sleep stages and sleep parameters as well as a hypnogram were displayed in the Garmin Connect app and stored in the Garmin data cloud. In addition, SpO2 and respiratory rate data were provided. Respiratory rate can be calculated depending on the changes in the autonomic nervous system (ANS) using HRV and HF data [39 (link),40 (link),41 (link)]. Unfortunately, HRV and beat to beat data were not directly provided in the spreadsheet report by the Garmin app [71 ].
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