Wearable technologies最新文献_第6页

Toward a wearable monitor of local muscle fatigue during electrical muscle stimulation using tissue Doppler imaging. 利用组织多普勒成像技术研制一种可穿戴式肌肉电刺激局部肌肉疲劳监测仪

Wearable technologies Pub Date : 2022-07-20 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2022.10

Joseph A Majdi, Samuel A Acuña, Parag V Chitnis, Siddhartha Sikdar

{"title":"Toward a wearable monitor of local muscle fatigue during electrical muscle stimulation using tissue Doppler imaging.","authors":"Joseph A Majdi, Samuel A Acuña, Parag V Chitnis, Siddhartha Sikdar","doi":"10.1017/wtc.2022.10","DOIUrl":"10.1017/wtc.2022.10","url":null,"abstract":"Electrical muscle stimulation (EMS) is widely used in rehabilitation and athletic training to generate involuntary muscle contractions. However, EMS leads to rapid muscle fatigue, limiting the force a muscle can produce during prolonged use. Currently available methods to monitor localized muscle fatigue and recovery are generally not compatible with EMS. The purpose of this study was to examine whether Doppler ultrasound imaging can assess changes in stimulated muscle twitches that are related to muscle fatigue from electrical stimulation. We stimulated five isometric muscle twitches in the medial and lateral gastrocnemius of 13 healthy subjects before and after a fatiguing EMS protocol. Tissue Doppler imaging of the medial gastrocnemius recorded muscle tissue velocities during each twitch. Features of the average muscle tissue velocity waveforms changed immediately after the fatiguing stimulation protocol (peak velocity: -38%, p = .022; time-to-zero velocity: +8%, p = .050). As the fatigued muscle recovered, the features of the average tissue velocity waveforms showed a return towards their baseline values similar to that of the normalized ankle torque. We also found that features of the average tissue velocity waveform could significantly predict the ankle twitch torque for each participant (R2 = 0.255-0.849, p < .001). Our results provide evidence that Doppler ultrasound imaging can detect changes in muscle tissue during isometric muscle twitch that are related to muscle fatigue, fatigue recovery, and the generated joint torque. Tissue Doppler imaging may be a feasible method to monitor localized muscle fatigue during EMS in a wearable device.","PeriodicalId":75318,"journal":{"name":"Wearable technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10936279/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46257608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Current developments of robotic hip exoskeleton toward sensing, decision, and actuation: A review. 机器人髋关节外骨骼在传感、决策和驱动方面的最新进展综述

IF 3.4

Wearable technologies Pub Date : 2022-07-15 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2022.11

Canjun Yang, Linfan Yu, Linghui Xu, Zehao Yan, Dongming Hu, Sheng Zhang, Wei Yang

引用次数: 0

Effort inference and prediction by acoustic and movement descriptors in interactions with imaginary objects during Dhrupad vocal improvisation. Dhrupad声乐即兴创作中与想象物体互动时声学和运动描述符的努力推断和预测

Wearable technologies Pub Date : 2022-07-05 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2022.8

Stella Paschalidou

{"title":"Effort inference and prediction by acoustic and movement descriptors in interactions with imaginary objects during Dhrupad vocal improvisation.","authors":"Stella Paschalidou","doi":"10.1017/wtc.2022.8","DOIUrl":"10.1017/wtc.2022.8","url":null,"abstract":"In electronic musical instruments (EMIs), the concept of \"sound sculpting\" was proposed by Mulder, in which imaginary objects are manually sculpted to produce sounds, although promising has had some limitations: driven by pure intuition, only the objects' geometrical properties were mapped to sound, while effort-which is often regarded as a key factor of expressivity in music performance-was neglected. The aim of this paper is to enhance such digital interactions by accounting for the perceptual measure of effort that is conveyed through well-established gesture-sound links in the ecologically valid conditions of non-digital music performances. Thus, it reports on the systematic exploration of effort in Dhrupad vocal improvisation, in which singers are often observed to engage with melodic ideas by manipulating intangible, imaginary objects with their hands. The focus is devising formalized descriptions to infer the amount of effort that such interactions are perceived to require and classify gestures as interactions with elastic versus rigid objects, based on original multimodal data collected in India for the specific study. Results suggest that a good part of variance for both effort levels and gesture classes can be explained through a small set of statistically significant acoustic and movement features extracted from the raw data and lead to rejecting the null hypothesis that effort is unrelated to the musical context. This may have implications on how EMIs could benefit from effort as an intermediate mapping layer and naturally opens discussions on whether physiological data may offer a more intuitive measure of effort in wearable technologies.","PeriodicalId":75318,"journal":{"name":"Wearable technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10936277/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47144568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intelligent wearable system with accurate detection of abnormal gait and timely cueing for mobility enhancement of people with Parkinson's disease. 智能可穿戴系统，准确检测异常步态，及时提示，增强帕金森病患者的行动能力

Wearable technologies Pub Date : 2022-06-28 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2022.9

Bao Yang, Ying Li, Fei Wang, Stephanie Auyeung, Manyui Leung, Margaret Mak, Xiaoming Tao

{"title":"Intelligent wearable system with accurate detection of abnormal gait and timely cueing for mobility enhancement of people with Parkinson's disease.","authors":"Bao Yang, Ying Li, Fei Wang, Stephanie Auyeung, Manyui Leung, Margaret Mak, Xiaoming Tao","doi":"10.1017/wtc.2022.9","DOIUrl":"10.1017/wtc.2022.9","url":null,"abstract":"Previously reported wearable systems for people with Parkinson's disease (PD) have been focused on the detection of abnormal gait. They suffered from limited accuracy, large latency, poor durability, comfort, and convenience for daily use. Herewith we report an intelligent wearable system (IWS) that can accurately detect abnormal gait in real-time and provide timely cueing for PD patients. The system features novel sensitive, comfortable and durable plantar pressure sensing insoles with a highly compressed data set, an accurate and fast gait algorithm, and wirelessly controlled timely sensory cueing devices. A total of 29 PD patients participated in the first phase without cueing for developing processes of the algorithm, which achieved an accuracy of over 97% for off-line detection of freezing of gait (FoG). In the second phase with cueing, the evaluation of the whole system was conducted with 16 PD subjects via trial and a questionnaire survey. This system demonstrated an accuracy of 94% for real-time detection of FoG and a mean latency of 0.37 s between the onset of FoG and cueing activation. In questionnaire survey, 88% of the PD participants confirmed that this wearable system could effectively enhance walking, 81% thought that the system was comfortable and convenient, and 70% overcame the FoG. Therefore, the IWS makes it an effective, powerful, and convenient tool for enhancing the mobility of people with PD.","PeriodicalId":75318,"journal":{"name":"Wearable technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10936378/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42529923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive estimation of continuous gait phase based on capacitive sensors. 基于电容传感器的连续步态相位自适应估计

Wearable technologies Pub Date : 2022-06-17 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2022.4

Dongfang Xu, Zhitong Zhang, Simona Crea, Nicola Vitiello, Qining Wang

引用次数: 0

Wearables in sociodrama: An embodied mixed-methods study of expressiveness in social interactions. 社会戏剧中的可穿戴设备:社会互动中表达性的体现混合方法研究

Wearable technologies Pub Date : 2022-06-13 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2022.7

Katerina El-Raheb, Vilelmini Kalampratsidou, Philia Issari, Eugenie Georgaca, Flora Koliouli, Evangelia Karydi, Theodora Dora Skali, Pandelis Diamantides, Yannis Ioannidis

{"title":"Wearables in sociodrama: An embodied mixed-methods study of expressiveness in social interactions.","authors":"Katerina El-Raheb, Vilelmini Kalampratsidou, Philia Issari, Eugenie Georgaca, Flora Koliouli, Evangelia Karydi, Theodora Dora Skali, Pandelis Diamantides, Yannis Ioannidis","doi":"10.1017/wtc.2022.7","DOIUrl":"10.1017/wtc.2022.7","url":null,"abstract":"This mixed-methods study investigates the use of wearable technology in embodied psychology research and explores the potential of incorporating bio-signals to focus on the bodily impact of the social experience. The study relies on scientifically established psychological methods of studying social issues, collective relationships and emotional overloads, such as sociodrama, in combination with participant observation to qualitatively detect and observe verbal and nonverbal aspects of social behavior. We evaluate the proposed method through a pilot sociodrama session and reflect on the outcomes. By utilizing an experimental setting that combines video cameras, microphones, and wearable sensors measuring physiological signals, specifically, heart rate, we explore how the synchronization and analysis of the different signals and annotations enables a mixed-method that combines qualitative and quantitative instruments in studying embodied expressiveness and social interaction.","PeriodicalId":75318,"journal":{"name":"Wearable technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10936392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43163806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand test. 使用可穿戴传感器和坐立测试评估平衡、认知功能和跌倒风险

Wearable technologies Pub Date : 2022-06-07 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2022.6

Barry R Greene, Emer P Doheny, Killian McManus, Brian Caulfield

{"title":"Estimating balance, cognitive function, and falls risk using wearable sensors and the sit-to-stand test.","authors":"Barry R Greene, Emer P Doheny, Killian McManus, Brian Caulfield","doi":"10.1017/wtc.2022.6","DOIUrl":"10.1017/wtc.2022.6","url":null,"abstract":"The five times sit-to-stand test (FTSS) is an established functional test, used clinically as a measure of lower-limb strength, endurance and falls risk. We report a novel method to estimate and classify cognitive function, balance impairment and falls risk using the FTSS and body-worn inertial sensors. 168 community dwelling older adults received a Comprehensive Geriatric Assessment which included the Mini-Mental State Examination (MMSE) and the Berg Balance Scale (BBS). Each participant performed an FTSS, with inertial sensors on the thigh and torso, either at home or in the clinical environment. Adaptive peak detection was used to identify phases of each FTSS from torso or thigh-mounted inertial sensors. Features were then extracted from each sensor to quantify the timing, postural sway and variability of each FTSS. The relationship between each feature and MMSE and BBS was examined using Spearman's correlation. Intraclass correlation coefficients were used to examine the intra-session reliability of each feature. A Poisson regression model with an elastic net model selection procedure was used to estimate MMSE and BBS scores, while logistic regression and sequential forward feature selection was used to classify participants according to falls risk, cognitive decline and balance impairment. BBS and MMSE were estimated using cross-validation with low root mean squared errors of 2.91 and 1.50, respectively, while the cross-validated classification accuracies for balance impairment, cognitive decline, and falls risk were 81.96, 72.71, and 68.74%, respectively. The novel methods reported provide surrogate measures which may have utility in remote assessment of physical and cognitive function.","PeriodicalId":75318,"journal":{"name":"Wearable technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10936403/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47373147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Validity of estimating center of pressure during walking and running with plantar load from a three-sensor wireless insole. 从三传感器无线鞋垫估算步行和跑步时足底负荷压力中心的有效性

Wearable technologies Pub Date : 2022-06-06 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2022.5

Richard A Brindle, Chris M Bleakley, Jeffrey B Taylor, Robin M Queen, Kevin R Ford

引用次数: 0

Origami-inspired systems that improve adult diaper performance to enhance user dignity. 折纸启发的系统，提高成人纸尿裤的性能，提高用户的尊严

Wearable technologies Pub Date : 2022-05-11 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2021.17

Nathan C Brown, Hunter T Pruett, Diana S Bolanos, Corinne Jackson, Bridget Beatson, Spencer P Magleby, Larry L Howell

引用次数: 0

Self-offloading therapeutic footwear using compliant snap-through arches. 使用顺应性搭扣式足弓的自卸载治疗鞋

Wearable technologies Pub Date : 2022-05-10 eCollection Date: 2022-01-01 DOI: 10.1017/wtc.2022.2

Priyabrata Maharana, Jyoti Sonawane, Pavan Belehalli, Gondi Kondaiah Ananthasuresh

{"title":"Self-offloading therapeutic footwear using compliant snap-through arches.","authors":"Priyabrata Maharana, Jyoti Sonawane, Pavan Belehalli, Gondi Kondaiah Ananthasuresh","doi":"10.1017/wtc.2022.2","DOIUrl":"10.1017/wtc.2022.2","url":null,"abstract":"In diabetic peripheral neuropathy, offloading high-plantar-pressure areas using statically offloaded customized insoles or expensive sensors and actuators are commonly-followed treatment procedures. In this article, we propose the concept of dynamically self-offloading therapeutic footwear that operates mechanically without using sensors and actuators. We achieve this by using an array of snapping arches. When a load higher than a bespoke value is applied, these arches enter negative-stiffness regime and offload the high-pressure region by snapping to a different shape. They again return to their initial shape when the load disappears. Thus, they serve as both sensors and actuators that get actuated by person's body weight. We present an analytical method to compute the switching load and the switchback time of such arches and use them to customize the footwear according to the person's body weight, gait speed, and foot size. We identify the high-pressure regions from the clinical data and place the arches such that these high-pressure regions get dynamically offloaded, and the pressure gets redistributed to other regions. We considered 200 kPa as a limiting pressure to prevent the prolonged effects of high plantar pressure. To check the efficacy of the concept, a complete 3D-printed prototype made of thermoplastic polyurethane was tested and compared with barefoot and in-shoe plantar pressure for subjects recruited at a clinical facility. We notice that the self-offloading insole shows the plantar pressure reduction at all the foot regions, and significant offloading of 57% is observed at the forefoot region.","PeriodicalId":75318,"journal":{"name":"Wearable technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10936371/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44438223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0