Introduction With the rise of trainer applications like Zwift, WahooX, and TrainerRoad, there has been an emphasis on power metrics, particularly Functional Threshold Power (FTP), to classify cyclists into categories and prescribe interval training durations and intensities. For the average cyclist, concepts like FTP and other metrics such as MAP (Maximal…

Deep learning techniques have undergone extensive exploration for object tracking, primarily addressing the intricate issue of occlusion. Occlusion occurs when one object is obscured by another, which becomes particularly challenging when dealing with similar objects. Successful methods have been developed in scientific tracking scenarios, such as monitoring animal behavior or…

Thinking of a project without a CI/CD is unimaginable, even more for a cross-platform application where we have to juggle between multiple platforms.

Problem Overview Recently, there has been a troubling increase in high-profile academic fraud. These fraudulent activities predominantly involve manipulating raw data to bias subsequent statistical analyses, generating results more favorable to the theories favored by the scientists involved. Notable instances include, for example, Francesca Gino, Dan Ariely, Jan Hendrik Schön, and Gregg…

Introduction This article aims to provide a comparison between the MAX30100 pulse oximeter and the AD8232 one-lead ECG device. In a prior post, we delved into the setup of the MAX30100 for recording a photoplethysmograph (PPG) signal at a frequency of 100 Hz. In this article, we will guide you through…

Introduction This article will compare the HW-827 pulse sensor (green PPG) and the MAX10100 pulse oximeter (red and infrared PPG). …

Introduction Continuous heart rate monitoring and heart rate variability are frequently integrated into wearable devices. However, comprehensive data analysis (and access to RAW data) is often restricted behind a subscription paywall, making it inaccessible to many users. In this article, we introduce an open-source HR tracking device that is affordable and…

Introduction In a previous post, we explored the calculation of heart rate and heart rate variability parameters using Photoplethysmogram (PPG) signals and discussed recording PPG signals through a smartphone’s camera. …

Discover how smartphone technology simplifies HRV analysis, leveraging PPG signals for accurate heart health assessment. Introduction In the two previous articles, we explored the process of recording heart rate from a Photoplethysmography (PPG) signal using a basic smartphone (available at https://medium.com/@bgallois/smartphone-based-heart-rate-monitoring-preprocessing-and-analysis-of-ppg-signals-de443473f529) and delved into the computation of heart rate variability (HRV)…