Assistive Technology最新文献_第9页

Multimodal job interview simulator for training of autistic individuals. 用于培训自闭症患者的多模态工作面试模拟器。

IF 1.8 4区医学

Assistive Technology Pub Date : 2024-01-02 Epub Date: 2023-04-24 DOI: 10.1080/10400435.2023.2188907

Deeksha Adiani, Michael Breen, Miroslava Migovich, Joshua Wade, Spencer Hunt, Mahrukh Tauseef, Nibraas Khan, Kelley Colopietro, Megan Lanthier, Amy Swanson, Timothy J Vogus, Nilanjan Sarkar

{"title":"Multimodal job interview simulator for training of autistic individuals.","authors":"Deeksha Adiani, Michael Breen, Miroslava Migovich, Joshua Wade, Spencer Hunt, Mahrukh Tauseef, Nibraas Khan, Kelley Colopietro, Megan Lanthier, Amy Swanson, Timothy J Vogus, Nilanjan Sarkar","doi":"10.1080/10400435.2023.2188907","DOIUrl":"10.1080/10400435.2023.2188907","url":null,"abstract":"Autistic individuals face difficulties in finding and maintaining employment, and studies have shown that the job interview is often a significant barrier to obtaining employment. Prior computer-based job interview training interventions for autistic individuals have been associated with better interview outcomes. These previous interventions, however, do not leverage the use of multimodal data that could give insight into the emotional underpinnings of autistic individuals' challenges in job interviews. In this article, the authors present the design of a novel multimodal job interview training platform called CIRVR that simulates job interviews through spoken interaction and collects eye gaze, facial expressions, and physiological responses of the participants to understand their stress response and their affective state. Results from a feasibility study with 23 autistic participants who interacted with CIRVR are presented. In addition, qualitative feedback was gathered from stakeholders on visualizations of data on CIRVR's visualization tool called the Dashboard. The data gathered indicate the potential of CIRVR along with the Dashboard to be used in the creation of individualized job interview training of autistic individuals.","PeriodicalId":51568,"journal":{"name":"Assistive Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9399738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Refinement of Health App Review Tool (HART) through stakeholder interviews: HART 2.0. 通过利益相关者访谈完善健康应用程序审查工具 (HART)：HART 2.0。

IF 1.8 4区医学

Assistive Technology Pub Date : 2024-01-02 Epub Date: 2023-06-26 DOI: 10.1080/10400435.2023.2213742

Julie Faieta, Julie Bourassa, Krista Best

引用次数: 0

2023 RESNA conference: move to the BeAT of innovation 2023 年 RESNA 会议：迈向创新的 BeAT

IF 1.8 4区医学

Assistive Technology Pub Date : 2023-12-13 DOI: 10.1080/10400435.2024.2273169

Katsutoshi Oe, M. Nakashige, Ryota Shibusawa, Kurt Manal, Bryan Misialek, Benjamin Li, PJ Jenks, Benjamin Gillette, Ira Lockwood, Nolwenn Lapierre, Caroline Huet-Fiola, Dylane Labrie, Émilie Vincent-Blouin, Claudie Côté, Nathalie Rhéaume, Jacques Laberge, Krista L. Best, François Routhier, N. Sebkhi, Arpan Bhavsar, Omer Inan, Georgia Tech, Hongwu Wang, R. Chandrashekhar, S. Benham, Brianna Milstrey, Jordan Stemple, Jennifer Davis, Derek Scatena, Jeffrey Bush, Katelyn Amy, Michelle Silverman, Erik Johnson, Lilly Hamlin, Hardin-Baylor, Hanna M Noyce, Emily M Olejniczak, V. Raychoudhury, Roger Smith, M. Manary, Kyle J. Boyle, Nichole R. Orton, Brian J. Eby, Jennifer Bishop, Jingwen Hu, Kathleen D. Klinich, Sevanth Gajula, A. Sravanthi, Rohith Sirpa, Firdaus A Indradhirmaya, Andi Saptono, A. Fairman, Lindsey L Morris, Nia Monteiro

引用次数: 0

Ethics and assistive technology: what are we missing? 伦理与辅助技术：我们缺少什么？

IF 1.8 4区医学

Assistive Technology Pub Date : 2023-11-02 Epub Date: 2023-10-26 DOI: 10.1080/10400435.2023.2271290

Emma M Smith

引用次数: 0

Factors influencing neuromuscular responses to gait training with a robotic ankle exoskeleton in cerebral palsy. 影响脑瘫患者使用机器人踝关节外骨骼步态训练的神经肌肉反应的因素。

IF 2.5 4区医学

Assistive Technology Pub Date : 2023-11-02 Epub Date: 2022-10-04 DOI: 10.1080/10400435.2022.2121324

Benjamin C Conner, Alyssa M Spomer, Katherine M Steele, Zachary F Lerner

{"title":"Factors influencing neuromuscular responses to gait training with a robotic ankle exoskeleton in cerebral palsy.","authors":"Benjamin C Conner, Alyssa M Spomer, Katherine M Steele, Zachary F Lerner","doi":"10.1080/10400435.2022.2121324","DOIUrl":"10.1080/10400435.2022.2121324","url":null,"abstract":"A current limitation in the development of robotic gait training interventions is understanding the factors that predict responses to treatment. The purpose of this study was to explore the application of an interpretable machine learning method, Bayesian Additive Regression Trees (BART), to identify factors influencing neuromuscular responses to a resistive ankle exoskeleton in individuals with cerebral palsy (CP). Eight individuals with CP (GMFCS levels I - III, ages 12-18 years) walked with a resistive ankle exoskeleton over seven visits while we measured soleus activation. A BART model was developed using a predictor set of kinematic, device, study, and participant metrics that were hypothesized to influence soleus activation. The model (R2 = 0.94) found that kinematics had the largest influence on soleus activation, but the magnitude of exoskeleton resistance, amount of gait training practice with the device, and participant-level parameters also had substantial effects. To optimize neuromuscular engagement during exoskeleton training in individuals with CP, our analysis highlights the importance of monitoring the user's kinematic response, in particular, peak stance phase hip flexion and ankle dorsiflexion. We demonstrate the utility of machine learning techniques for enhancing our understanding of robotic gait training outcomes, seeking to improve the efficacy of future interventions.","PeriodicalId":51568,"journal":{"name":"Assistive Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9266305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Clinical stakeholders' perspective for the integration of an immersive wheelchair simulator as a clinical tool for powered wheelchair training. 临床利益相关者对将沉浸式轮椅模拟器整合为电动轮椅培训的临床工具的看法。

IF 1.8 4区医学

Assistive Technology Pub Date : 2023-11-02 Epub Date: 2023-01-26 DOI: 10.1080/10400435.2022.2161669

Josiane Lettre, François Routhier, Edward M Giesbrecht, Mohamed-Amine Choukou, William C Miller, Philippe S Archambault

{"title":"Clinical stakeholders' perspective for the integration of an immersive wheelchair simulator as a clinical tool for powered wheelchair training.","authors":"Josiane Lettre, François Routhier, Edward M Giesbrecht, Mohamed-Amine Choukou, William C Miller, Philippe S Archambault","doi":"10.1080/10400435.2022.2161669","DOIUrl":"10.1080/10400435.2022.2161669","url":null,"abstract":"This study aimed to investigate clinical stakeholders' acceptance of an immersive wheelchair simulator as a potential powered wheelchair skills training tool. Focus groups, conducted in four rehabilitation centers, were used to obtain a rich understanding of participants' experiences and beliefs. Then, a cross-sectional survey of the simulator acceptability for clinical practice was created. Twenty-three rehabilitation therapists and clinical program directors participated in the focus groups and thirty-three responded to the survey. Participants generally expressed that use of the simulator would be complementary to training in an actual powered wheelchair, and that it could be useful for challenging situations in rehabilitation centers (e.g. anxious clients; when there is uncertainty around their potential to drive a powered wheelchair; tasks that cannot be assessed in a real-life environment). They also provided suggestions to improve the simulator (e.g. more feedback during tasks; possibility of adjusting control settings such as speed and sensitivity; possibility of adding varied control interfaces). Feedback received from key stakeholders clearly indicated that the wheelchair simulator would be complementary to training provided in a real context of use. However, some important limitations must be addressed to improve the simulator and promote its adoption by clinical programs, therapists and clients.","PeriodicalId":51568,"journal":{"name":"Assistive Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9191212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An evaluation of 3D printable elastics for post stroke dynamic hand bracing: a pilot study. 3D打印弹性体用于中风后动态手部支撑的评估：一项初步研究。

IF 2.5 4区医学

Assistive Technology Pub Date : 2023-11-02 Epub Date: 2023-02-28 DOI: 10.1080/10400435.2023.2177774

Justin Huber, Stacey Slone, Babak Bazrgari

{"title":"An evaluation of 3D printable elastics for post stroke dynamic hand bracing: a pilot study.","authors":"Justin Huber, Stacey Slone, Babak Bazrgari","doi":"10.1080/10400435.2023.2177774","DOIUrl":"10.1080/10400435.2023.2177774","url":null,"abstract":"The rise of 3D printing allows unprecedented customization of rehabilitation devices, and with an ever-expanding library of 3D printable (3DP) materials, the spectrum of attenable rehabilitation devices is likewise expanding. The current pilot study explores feasibility of using 3DP elastic materials to create dynamic hand orthoses for stroke survivors. A dynamic orthosis featuring a replaceable finger component was fabricated using 3DP elastic materials. Duplicates of the finger component were printed using different materials ranging from low stiffness (low elastic modulus) to relatively high stiffness (high elastic modulus). Five stroke survivors with predominantly moderate hand impairment were recruited to evaluate usability and impact of orthoses on upper extremity function and biomechanics. No significant differences in usability were found between 3D-printed orthoses and a commercial orthosis. Increases in stiffness of the 3DP material reduced pincer force (p = .0041) and the BBT score (p = .043). In comparison, the commercial orthosis did not reduce pincer force but may reduce BBT score to a degree that is clinically significant (p = .0002). While preliminary, these findings suggest that a dynamic orthosis is a feasible clinical application of 3DP elastic materials, and future study is warranted.","PeriodicalId":51568,"journal":{"name":"Assistive Technology","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10100438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomechanical comparison of walking with a new, wearable rehabilitation training device to Nordic walking and regular walking in people with chronic low back pain. 使用新型可穿戴康复训练设备步行与北欧步行和慢性腰痛患者常规步行的生物力学比较。

IF 1.8 4区医学

Assistive Technology Pub Date : 2023-11-02 Epub Date: 2023-03-02 DOI: 10.1080/10400435.2022.2138634

Bettina Sommer, Carole Pauli, Michael McCaskey, Frank Behrendt, Corina Schuster-Amft, Eveline S Graf

{"title":"Biomechanical comparison of walking with a new, wearable rehabilitation training device to Nordic walking and regular walking in people with chronic low back pain.","authors":"Bettina Sommer, Carole Pauli, Michael McCaskey, Frank Behrendt, Corina Schuster-Amft, Eveline S Graf","doi":"10.1080/10400435.2022.2138634","DOIUrl":"10.1080/10400435.2022.2138634","url":null,"abstract":"Physical activity, particularly walking, is commonly used for the treatment of diseases such as low back pain. In this study, the effects of walking wearing the new ToneFit Reha training belt (TFR) were compared to both Nordic walking and regular walking. The TFR is intended to intensify the effects of walking through the integration of two adjustable resistance handles. Ten patients with low back pain performed regular walking, Nordic walking, and walking with the TFR in a movement laboratory. The kinematics of the trunk, upper extremities, and lower extremities were measured, and the activity of the trunk and upper extremity muscles recorded. Data were analyzed by repeated-measures ANOVA and paired t-test. Kinematics indicated that walking with the TFR introduces instability that was mitigated by a delayed peak trunk rotation (peak at 63.3% gait cycle, vs. 52.8% in walking (p = .001) and 51.0% in NW (p = .007)). Upper extremity kinematics (constrained elbow flexion, high peak shoulder abduction) showed movement patterns that need to be considered when training over a longer period. Increased muscle activity was observed especially for upper extremity muscles, when training with TFR. Overall, walking with the TFR was found to be a suitable therapy for use in a rehabilitation setting.","PeriodicalId":51568,"journal":{"name":"Assistive Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10814679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fall detection from a manual wheelchair: preliminary findings based on accelerometers using machine learning techniques. 手动轮椅跌倒检测：基于使用机器学习技术的加速度计的初步发现。

IF 1.8 4区医学

Assistive Technology Pub Date : 2023-11-02 Epub Date: 2023-02-28 DOI: 10.1080/10400435.2023.2177775

Libak Abou, Alexander Fliflet, Peter Presti, Jacob J Sosnoff, Harshal P Mahajan, Mikaela L Frechette, Laura A Rice

{"title":"Fall detection from a manual wheelchair: preliminary findings based on accelerometers using machine learning techniques.","authors":"Libak Abou, Alexander Fliflet, Peter Presti, Jacob J Sosnoff, Harshal P Mahajan, Mikaela L Frechette, Laura A Rice","doi":"10.1080/10400435.2023.2177775","DOIUrl":"10.1080/10400435.2023.2177775","url":null,"abstract":"Automated fall detection devices for individuals who use wheelchairs to minimize the consequences of falls are lacking. This study aimed to develop and train a fall detection algorithm to differentiate falls from wheelchair mobility activities using machine learning techniques. Thirty, healthy, ambulatory, young adults simulated falls from a wheelchair and performed other wheelchair-related mobility activities in a laboratory. Neural Network classifiers were used to train the algorithm developed based on data retrieved from accelerometers mounted at the participant's wrist, chest, and head. Results indicate excellent accuracy to differentiate between falls and wheelchair mobility activities. The sensors mounted at the wrist, chest, and head presented with an accuracy of 100%, 96.9%, and 94.8%, respectively, using data from 258 falls and 220 wheelchair mobility activities. This pilot study indicates that a fall detection algorithm developed in a laboratory setting based on fall accelerometer patterns can accurately differentiate wheelchair-related falls and wheelchair mobility activities. This algorithm should be integrated into a wrist-worn devices and tested among individuals who use a wheelchair in the community.","PeriodicalId":51568,"journal":{"name":"Assistive Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10785892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Methodological and reporting quality of qualitative evidence in the field of lower limb orthoses: a systematic review. 下肢矫形器领域定性证据的方法学和报告质量：系统综述。

IF 1.8 4区医学

Assistive Technology Pub Date : 2023-11-02 Epub Date: 2023-05-02 DOI: 10.1080/10400435.2023.2199056

Saeed Shahabi, Kamran Bagheri Lankarani, Mostafa Hoseeinabadi, Seyed Taghi Heydari

{"title":"Methodological and reporting quality of qualitative evidence in the field of lower limb orthoses: a systematic review.","authors":"Saeed Shahabi, Kamran Bagheri Lankarani, Mostafa Hoseeinabadi, Seyed Taghi Heydari","doi":"10.1080/10400435.2023.2199056","DOIUrl":"10.1080/10400435.2023.2199056","url":null,"abstract":"This study aimed to assess the methodological and reporting quality of qualitative studies conducted in the field of lower limb orthoses (LLOs). The following electronic databases were searched from inception to 2022: PubMed, Scopus, ProQuest, WoS, Embase, the Cochrane Central Register of Controlled Trials, and RehabData. Two authors independently screened and selected the potential studies. The methodological quality of included studies was assessed using the Critical Appraisal Skills Programs qualitative checklist. In addition, the reporting quality of included studies was assessed using the Standards for Reporting Qualitative Research (SRQR) tool. The mean methodological quality score of included studies was 8 (from min = 2 to max = 9.5), and most of the studies had a score of more than 7.5. However, SRQR findings revealed that the overall reporting quality of included studies was not desirable in that the mean score was about 15.44 (from min = 6 to max = 19.5) out of 21. In total, the methodological quality of qualitative studies published in the field of LLOs was moderate. Further, the adherence of these studies to available reporting guidelines was unsatisfactory. As a result, when designing, performing, and reporting qualitative investigations, authors should pay more attention to these criteria.","PeriodicalId":51568,"journal":{"name":"Assistive Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9751269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0