Related Experiment Video
Updated: Jan 24, 2026
06:26
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
Published on: November 27, 2019
77.4K
Permutation Entropy Applied to Fitbit Data: Long-Term Sleep Analysis on One Healthy Subject
Elisa Salvi1, Giordano Lanzola1, Silvana Quaglini1
1Dep. of Electrical, Computers and Biomedical Engineering, University of Pavia, Italy.
Studies in Health Technology and Informatics
|June 4, 2019
Summary
This study used signal permutation entropy to analyze long-term sleep data, revealing personalized sleep insights. Findings suggest tailored lifestyle changes can significantly improve individual sleep quality.
Area of Science:
- Biomedical Engineering
- Data Science
- Sleep Science
Background:
- Sleep quality and duration significantly impact daily performance.
- Individual responses to sleep patterns and daily activities vary.
- Personalized sleep analysis is crucial for effective health management.
Purpose of the Study:
- To explore personalized alerts and recommendations for sleep anomalies.
- To investigate subject-specific correlations between lifestyle and sleep quality.
- To demonstrate the value of personalized sleep data analysis over population-based approaches.
Main Methods:
- Utilized a signal permutation entropy algorithm for time series analysis.
- Analyzed approximately three years of sleep data from a Fitbit Alta HR activity tracker.
- Focused on a single subject to enable deep personalization.
Main Results:
- Personalized sleep inferences differed substantially from generic, population-based results.
- Identified subject-specific correlations between daily activities and sleep patterns.
- Demonstrated the potential for tailored lifestyle modifications to enhance sleep quality.
Conclusions:
- Personalized sleep analysis offers superior insights compared to general recommendations.
- Subject-specific lifestyle adjustments derived from data can improve sleep quality.
- This approach paves the way for individualized sleep health strategies.
Related Concept Videos
02:39Entropy
35.0K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
35.0K
01:18Entropy
3.5K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.5K
01:15Bioavailability Study Design: Healthy Subjects Versus Patients
146
Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
146
01:17Assessment of the Gastrointestinal System I: Subjective Data
634
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health History
The initial step in assessing the GI system is obtaining a comprehensive health history. This includes inquiring about the patient's history or presence of problems...
Health History
The initial step in assessing the GI system is obtaining a comprehensive health history. This includes inquiring about the patient's history or presence of problems...
634
01:23Assessment of the Cardiovascular System I: Subjective Data
778
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
778
03:00Standard Entropy Change for a Reaction
24.1K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
24.1K