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Duration of Night Time Wear Time of the Device
Time frame: Up to Week 48
Each participant was provided one accelerometer and electrode (Faros sensor and LifeInsight Hub) through which movement/physical activity data was collected throughout the study. Duration of night time wear time was the calculated as the total of the times spent [Active + day time lying + day time "sedentary not lying"] for the night time. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data could not be calculated as participant number was <=1.
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Average Time Spent Active
Time frame: Up to Week 48
Number of minutes spent active per day and night over the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles)
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Average Time Spent 'Sedentary Not Lying'
Time frame: Up to Week 48
Number of minutes spent 'sedentary not lying' per day and night for 24-hour recording period; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Average Time Spent Lying
Time frame: Up to Week 48
Number of minutes spent lying per day and night over the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Average Time Spent Sedentary.
Time frame: Up to Week 48
Number of minutes spent sedentary [time spent lying + time spent sedentary not lying] per day and night over the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Time Spent With Sensor Off
Time frame: Up to Week 48
Sensor off time includes the time that the sensor was either switched off or the participant was not wearing it (or both). This outcome measure was planned but not performed.
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Total Activity Count
Time frame: Up to Week 48
Total activity count for the day time and night time for the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Maximum Activity Count in a 24 Hour Period
Time frame: Up to Week 48
Maximum activity count for the day time and night time for the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles)
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Mean Maximum Activity Count in a 24 Hour Period
Time frame: Up to Week 48
Mean maximum activity count of day time and night time for the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles)
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Number of Continuous Active Periods
Time frame: Up to Week 48
Active periods were catagorized as >1minute to <=2minutes, >2 minutes to <=5minutes, >5 minutes to <=15 minutes, >15 minutes to <=30 minutes, >30 minutes. Total number of 'active periods were calculated as 1minute<x<2minutes + 'number of active periods 2minutes<x<5minutes + 'number of active periods 5minutes<x<15minutes + 'number of active periods 15minutes<x<30minutes + 'number of active periods >30minutes.
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Percent of Time Lying Down at Night
Time frame: Up to Week 48
Percent time spent lying per day and night over the 24-hour recording periods; averaged for each timepoint
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Number of Night Time Movement Episodes Per Hour
Time frame: Up to Week 48
Average number of night movement episodes per hour for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Percent Time Night-time Rest Efficiency
Time frame: Up to Week 48
Average night-time rest efficiency for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles)
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Rest Fragmentation Index
Time frame: Up to Week 48
Rest Fragmentation Index was computed as movement time (%) divided by number of movement episodes for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Average Duration of Night Time Movement Episodes
Time frame: Up to Week 48
Average duration of movement episodes for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Relationship Between Average Number Night Time Movements/Hour Versus Total ALSFRS-R
Time frame: Up to Week 48
Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Data for between subject correlation coefficient has been presented
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Relationship Between Average Duration Movement Episodes at Night Versus Total ALSFRS-R
Time frame: Up to Week 48
Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Data for between subject correlation coefficient has been presented
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Relationship Between Average Percent Time Night Time Rest Efficiency Versus Total ALSFRS-R
Time frame: Up to Week 48
Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Data for between subject correlation coefficient has been presented
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Relationship Between Average Night Time Rest Fragmentation Index Versus Total ALSFRS-R
Time frame: Up to Week 48
Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Data for between subject correlation coefficient has been presented
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Mean Heart Rate Variability (HRV) While Lying (Low Frequency[LF]/High Frequency[HF])
Time frame: Up to Week 48
Mean Heart Rate Variability (HRV) averaged over 5 windows of lying down at each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Variance of HRV While Lying (LF/HF)
Time frame: Up to Week 48
Variance of Heart Rate Variability (HRV) averaged over 5 windows of lying down at each protocol time point (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Mean HRV While Sedentary Not Lying (LF/HF)
Time frame: Up to Week 48
Mean Heart Rate Variability (HRV) averaged over 5 windows of sedentary not lying at each protocol time point (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Variance of HRV While Sedentary Not Lying (LF/HF)
Time frame: Up to Week 48
Variance of Heart Rate Variability (HRV) averaged over 5 windows of sedentary not lying at each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Mean HRV While Active (LF/HF)
Time frame: Up to Week 48
Mean Heart Rate Variability (HRV) averaged over 5 windows of subjects being active at each protocol time point (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data is not available. Standard deviation could not be calculated when number of participants was <=1
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Variance of HRV While Active (LF/HF)
Time frame: Up to Week 48
Variance of Heart Rate Variability (HRV) averaged over 5 windows of subjects being active at each protocol time point (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data could not be calculated as participant number was <=1
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Effect of Being Upright on HRV- Mean HRV (LF/HF Analysis)
Time frame: Up to Week 48
The effect of being upright on mean HRV was calculated as [mean HRV while sedentary not lying minus mean HRV while lying] (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Effect of Being Upright on HRV Variance (LF/HF Analysis)
Time frame: Up to Week 48
The effect of being upright on HRV variance was calculated as [HRV variance while sedentary not lying minus HRV variance while lying] (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Effect of Activity on Mean HRV (LF/HF)
Time frame: Up to Week 48
The effect of activity on mean HRV was calculated as [mean HRV while sedentary not lying minus mean HRV while lying] (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data could not be calculated as participant number was <=1.
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Effect of Activity on HRV Variance (LF/HF Analysis)
Time frame: Up to Week 48
The effect of activity on HRV variance was calculated as [HRV variance while sedentary not lying minus HRV variance while lying] (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data could not be calculated as participant number was <=1.
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Mean HRV Over 24 Hours - Mean Root Mean Square of the Successive Differences (RMSSD)
Time frame: Up to Week 48
Mean HRV over 24 hours (RMSSD analysis), averaged for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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HRV Variance Over 24 Hours - Mean Root Mean Square of the Successive Differences (RMSSD) Analysis
Time frame: Up to Week 48
HRV variance over 24 hours (RMSSD analysis), averaged for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Relationship Between Absolute Values of HRV Endpoints (LF/HF) and Absolute Value of Total ALSFRS-R
Time frame: Up to Week 48
Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that sample size was insufficient to calculate correlation coefficient
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Measurement of Speech Quality
Time frame: Up to Week 48
Speech quality was assessed by Central Tendency of Fundamental Frequency (CTF) F0, jitter, and shimmer for 'short ah' and 'long ah' tests. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Duration of Maximum Gap Between Words
Time frame: Up to Week 48
Duration of maximum gap between words during running speech to planned to analyze quality of speech however; was not performed.
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Speaking Rate
Time frame: Up to Week 48
Speaking rate was analyzed during running speech. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Average Phoneme Rate
Time frame: Up to Week 48
Phoneme rate was analyzed for the single word "doily". Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Maximum Phonation Time
Time frame: Seconds
Maximum phonation time for the single word "doily" test was analyzed for quality of speech testing. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Percentage Pause Time
Time frame: Up to Week 48
Percentage pause time for running speech was analyzed. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Relationship Between Absolute Values of Speech Endpoints and Absolute Value of ALSFRS-R
Time frame: Up to Week 48
Mixed Model was used to calculate Repeated Measures Correlation Coefficients between the two variables when model is converged. The correlation coefficient among the repeated measurements is same for different variables. Multiple Linear Regression was used to calculate Within and Between Participant Correlation Coefficients when Mixed Model is not converged. Data for Repeated Measures Correlation Coefficient has been presented in the table below
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Relationship Between Absolute Values of Speech Endpoints and Absolute Values of FVC
Time frame: Up to Week 48
Mixed Model was used to calculate Repeated Measures Correlation Coefficients between the two variables when model is converged. The correlation coefficient among the repeated measurements is same for different variables. Multiple Linear Regression was used to calculate Within and Between Participant Correlation Coefficients when Mixed Model is not converged. Data for Between Subject Correlation Coefficient has been presented in the table below
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Number of Participants Reporting Sensor Comfort
Time frame: Up to Week 48
Participant's feedback on whether the sensor was comfortable to wear was categorized as "yes" and "no". Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Number of Participants Reporting Impact on Sleep
Time frame: Up to Week 48
Participant feedback on how much the sensor impacted their sleep was categorized as "not at all", "moderately" and "minimally". Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Number of Participants With Ease of Setting up and Attaching the Sensor
Time frame: Up to Week 48
The participants were required to give feedback on how easy was it to set up and/ or attach the sensor and it was categorized as "easy", "neutral" and "difficult". Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Number of Participants With Corresponding Activity Level Required to Complete Their Job
Time frame: Up to Week 48
The activity level required by the participant to complete their job was recorded, and was categorized as Not working, Physical activity required, and Sedentary. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Number of Participants With Corresponding Average Activity Level During Time of Wearing the Sensor
Time frame: Up to Week 48
Average activity level during the time of wearing the sensor was reported by the participants, and was categorized as very low level activity, low level activity, moderate level activity and high level activity. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Number of Participants Whose Sensor Fell Off
Time frame: Up to Week 48
The participants reported whether the sensor fell off. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).
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Number of Participants With Adverse Events Secondary to the Devices Used or Due to Study Procedures
Time frame: Up to Week 48
Only those AEs and SAEs which, in the opinion of the investigator, were related to a protocol-mandated procedure or one of the devices used in the study were reported. An AE is any untoward medical occurrence in a participant or clinical investigation participant, temporally associated with the use of a medicinal product, whether or not considered related to the medicinal product. Any untoward event resulting in death, life threatening, requires hospitalization or prolongation of existing hospitalization, results in disability/incapacity, congenital anomaly/birth defect, any other situation according to medical or scientific judgment that may not be immediately life-threatening or result in death or hospitalization but may jeopardize the participant or may require medical or surgical intervention or event associated with liver injury and impaired liver function were categorized as SAE.
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Type of Adverse Events Secondary to the Devices Used or Due to Study Procedures
Time frame: Up to Week 48
Only those AEs and SAEs which, in the opinion of the investigator, were related to a protocol-mandated procedure or one of the devices used in the study were reported. An AE is any untoward medical occurrence in a participant or clinical investigation participant, temporally associated with the use of a medicinal product, whether or not considered related to the medicinal product. Any untoward event resulting in death, life threatening, requires hospitalization or prolongation of existing hospitalization, results in disability/incapacity, congenital anomaly/birth defect, any other situation according to medical or scientific judgment that may not be immediately life-threatening or result in death or hospitalization but may jeopardize the participant or may require medical or surgical intervention or event associated with liver injury and impaired liver function were categorized as SAE. Number of AEs, SAEs and Adverse events leading to discontinuation (AELDs)from the study is presented