SINEW 15 2023
收藏DataCite Commons2024-11-25 更新2025-04-16 收录
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https://ieee-dataport.org/documents/sinew-15-2023
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The SINEW 15 2023 Biomarker dataset was extracted from the sensor data collected by a longitudinal study called Sensors IN-home for Elder Wellbeing (SINEW).As the name suggested, the SINEW 15 2023 Biomarker dataset consists of 15 high-level biomarker features, derived from raw sensor readings. They cover four basic aspects of daily living, namely physical, activity, cognitive, and sleep, of each participant over a specific period. The digital biomarkers are of significance, as they can be used for early detection of mild cognitive impairment (MCI), providing an opportunity for timely intervention before it progresses to Alzheimer's disease.For the purpose of training and evaluating machine-learning-based predictive models for MCI detection, each of the biomarker records is tagged with the cognitive status - either mild cognitive impairment (MCI) or normal cognition (NC) according to the participant's closest clinical assessments within a six month period from the date the sensor data are captured.Altogether, three data sets are provided in this release, namelySINEW 15 2023 Daily Biomarker data set, consisting of records of daily biomarker feature values tagged with the corresponding cognitive status labels;SINEW 15 2023 Weekly Biomarker data set, consisting of records of weekly averaged biomarker values tagged with the corresponding cognitive status labels; andSINEW 15 2023 Monthly Biomarker data set, consisting of records of monthly averaged biomarker values tagged with the corresponding cognitive status labels.Each record/row in the three biomarker data sets contains 15 biomarker feature values as inputs and a cognitive class label (MCI vs NC) as outputs.
SINEW 15 2023生物标志物数据集源自一项名为「家庭传感器助力老年人福祉(Sensors IN-home for Elder Wellbeing)」的纵向研究(以下简称SINEW)所采集的传感器数据。顾名思义,该数据集包含15项由原始传感器读数衍生而来的高级生物标志物特征,覆盖了特定周期内每位受试者日常生活的四大核心维度,即身体状况、活动情况、认知状态与睡眠质量。这类数字化生物标志物具有重要应用价值,可用于早期检测轻度认知障碍(mild cognitive impairment, MCI),为其进展至阿尔茨海默病前争取及时干预的契机。为训练和评估用于MCI检测的基于机器学习的预测模型,每条生物标志物记录均被标记了认知状态标签——根据传感器数据采集日期起6个月内受试者的最新临床评估结果,分为轻度认知障碍(MCI)或正常认知(normal cognition, NC)两类。本次发布共提供3套数据集,分别为:SINEW 15 2023每日生物标志物数据集,包含每日生物标志物特征值记录及对应的认知状态标签;SINEW 15 2023每周生物标志物数据集,包含每周平均生物标志物特征值记录及对应的认知状态标签;以及SINEW 15 2023每月生物标志物数据集,包含每月平均生物标志物特征值记录及对应的认知状态标签。上述3套生物标志物数据集的每条记录(即每一行数据)均包含15项生物标志物特征值作为输入项,以及1项认知类别标签(MCI与NC二分类)作为输出项。
提供机构:
IEEE DataPort
创建时间:
2024-11-25



