Design and Validation of a Multimodal Wearable Device for Simultaneous Collection of Electrocardiogram, Electromyogram, and Electrodermal Activity.
Design and Validation of a Multimodal Wearable Device for Simultaneous Collection of Electrocardiogram, Electromyogram, and Electrodermal Activity.
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DOI：
10.3390/s22228851
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发表时间：
2022-11-16
期刊：
影响因子：
--
通讯作者：
Chon KH
中科院分区：
文献类型：
--
作者：
McNaboe R;Beardslee L;Kong Y;Smith BN;Chen IP;Posada-Quintero HF;Chon KH
生物信号正越来越多地用于评估病理生理状况，包括疼痛、压力、疲劳和焦虑。对于某些方法，单个信号不足以提供全面的诊断;然而，越来越多的共识是多模式方法允许更高的灵敏度和特异性。例如，在内脏疼痛受试者中，可以使用从心电图（ECG）导出的皮肤电活动（EDA）和心率变异性来推断自主激活，但是包括从表面肌电图（sEMG）检测到的肌肉激活可以更好地区分引起疼痛的疾病。商业上没有能够同时收集这三种信号的可穿戴设备。本文介绍了一种新型的多模态低姿态可穿戴数据采集设备的EDA，心电图和表面肌电信号的同时收集的验证。通过将其性能与实验室规模的参考器械进行比较，对该器械进行了验证。招募了N = 20名健康受试者参与一项四阶段研究，该研究将他们暴露于一系列认知，直立和肌肉刺激，确保该设备对一系列压力源敏感。所有三个信号的时域和频域分析显示，我们的设备和参考设备之间存在显著的相似性。sEMG指标的相关性范围为0.81至0.95，EDA/ECG指标显示我们的器械与参考器械之间趋势存在显著差异的情况很少。我们证明了我们的设备能够收集EDA、sEMG和ECG信号，仅观察到微小差异。该设备将使未来在慢性疼痛和压力测量领域的实际和有影响力的进步，并可以放心地在相关研究中实施。
Bio-signals are being increasingly used for the assessment of pathophysiological conditions including pain, stress, fatigue, and anxiety. For some approaches, a single signal is not sufficient to provide a comprehensive diagnosis; however, there is a growing consensus that multimodal approaches allow higher sensitivity and specificity. For instance, in visceral pain subjects, the autonomic activation can be inferred using electrodermal activity (EDA) and heart rate variability derived from the electrocardiogram (ECG), but including the muscle activation detected from the surface electromyogram (sEMG) can better differentiate the disease that causes the pain. There is no wearable device commercially capable of collecting these three signals simultaneously. This paper presents the validation of a novel multimodal low profile wearable data acquisition device for the simultaneous collection of EDA, ECG, and sEMG signals. The device was validated by comparing its performance to laboratory-scale reference devices. N = 20 healthy subjects were recruited to participate in a four-stage study that exposed them to an array of cognitive, orthostatic, and muscular stimuli, ensuring the device is sensitive to a range of stressors. Time and frequency domain analyses for all three signals showed significant similarities between our device and the reference devices. Correlation of sEMG metrics ranged from 0.81 to 0.95 and EDA/ECG metrics showed few instances of significant difference in trends between our device and the references. With only minor observed differences, we demonstrated the ability of our device to collect EDA, sEMG, and ECG signals. This device will enable future practical and impactful advances in the field of chronic pain and stress measurement and can confidently be implemented in related studies.
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DOI：
10.1007/bf00998853
发表时间：
1983-01-01
期刊：
BIOFEEDBACK AND SELF-REGULATION
影响因子：
--
作者：
CRAM, JR;STEGER, JC
通讯作者：
STEGER, JC
影响因子：
4.3
作者：
Doheny, Emer P.;Goulding, Cathy;Lowery, Madeleine M.
通讯作者：
Lowery, Madeleine M.
影响因子：
4
作者：
Akintola AA;van de Pol V;Bimmel D;Maan AC;van Heemst D
通讯作者：
van Heemst D
评估碳/盐/粘合剂电极，用于表面肌电图测量。
DOI：
10.1109/jtehm.2016.2567420
发表时间：
2016
影响因子：
3.4
作者：
Posada-Quintero H;Rood R;Burnham K;Pennace J;Chon K
通讯作者：
Chon K
DOI：
10.3390/s22010104
发表时间：
2021-12-24
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Jeong JW;Lee W;Kim YJ
通讯作者：
Kim YJ