Bouchekioua Youcef, Matsui Hiroshi, Watanabe Shigeru
Department of Psychology, Keio University, Tokyo, 2-15-45, Japan.
Department of Neuropharmacology, Hokkaido University Graduate School of Medicine, Sapporo, 060-8638, Japan.
MethodsX. 2023 Mar 11;10:102098. doi: 10.1016/j.mex.2023.102098. eCollection 2023.
We propose a wearable, versatile, and open-source data logger that harvests the capacities of a low-cost microcontroller and enables fast-sampling recording of Analog signals into a microSD card. We describe here the circuit design and an exhaustive list of instructions to build a small, lightweight, and fast sampling rate data logger (up to 5 kHz for simultaneous recording of 3 channels and up to 40 kHz when using a single channel). We provide data analysis instructions, including publicly available scripts to facilitate its replication and customization. As a straightforward proof-of-concept, we tested our device embedded with a three-axial Analog accelerometer and were able to record triple axis acceleration of body movements in high resolution. A Fourier transform followed by a principal component analysis discriminated accurately between body motions of two participants and two types of movement recorded (walking VS running). Our wearable and fast-sampling rate data logger overcomes limits that we identified in previous studies, by being low-cost, capable of fast sampling rate, and easily replicated. Moreover, it can be customized to fit with a wide variety of applications in biomedical research by substituting the three-axial Analog accelerometer with virtually any type of Analog sensors or devices that output Analog signals. •We present a method to build and use a low-cost, fast-sampling rate and wearable Analog data logger, where having an engineering background is not required.•The data logger we present can collect Analog signals from 3 channels simultaneously at 5kHz and up to 40 kHz when using a single channel.•We demonstrate that our data logger can record data from a triple axis Analog accelerometer at 5 kHz, however, signals from virtually any Analog sensor or device that outputs Analog signals can be collected.
我们提出了一种可穿戴、多功能且开源的数据记录器,它利用了低成本微控制器的能力,能够将模拟信号快速采样记录到微型SD卡中。在此,我们描述了电路设计以及构建一个小型、轻便且采样速率快的数据记录器(同时记录3个通道时最高可达5kHz,使用单个通道时最高可达40kHz)的详尽说明列表。我们提供了数据分析说明,包括公开可用的脚本,以方便其复制和定制。作为一个直接的概念验证,我们测试了嵌入三轴模拟加速度计的设备,并能够以高分辨率记录身体运动的三轴加速度。通过傅里叶变换和主成分分析,能够准确区分两名参与者的身体运动以及两种记录的运动类型(行走与跑步)。我们的可穿戴且采样速率快的数据记录器克服了我们在先前研究中发现的局限性,具有低成本、能够实现快速采样速率且易于复制的特点。此外,通过用几乎任何类型的模拟传感器或输出模拟信号的设备替换三轴模拟加速度计,它可以进行定制,以适用于生物医学研究中的各种应用。
•我们提出了一种构建和使用低成本、快速采样速率且可穿戴的模拟数据记录器的方法,无需工程背景。
•我们展示的数据记录器可以在5kHz下同时从3个通道收集模拟信号,使用单个通道时最高可达40kHz。
•我们证明了我们的数据记录器能够以5kHz记录来自三轴模拟加速度计的数据,然而,几乎任何输出模拟信号的模拟传感器或设备的信号都可以被收集。