Eivind Flobak, Frode Guribye, D. Jensen, A. Lundervold
This paper introduces the design of an assistive technology in a training program for cognitive and emotional control for adults with ADHD. We further address how patient-generated data (PGD) can support the interaction between patients and clinicians in this training process, and potentially increase the effect of the treatment.
{"title":"Designing data-driven interventions for mental health care","authors":"Eivind Flobak, Frode Guribye, D. Jensen, A. Lundervold","doi":"10.1145/3154862.3154917","DOIUrl":"https://doi.org/10.1145/3154862.3154917","url":null,"abstract":"This paper introduces the design of an assistive technology in a training program for cognitive and emotional control for adults with ADHD. We further address how patient-generated data (PGD) can support the interaction between patients and clinicians in this training process, and potentially increase the effect of the treatment.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132280992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes a novel reliable solution, named KinRes, to extract contactless respiratory signal via an IR-3D Depth sensor (Microsoft Kinect 2) on human subjects interacting with a computer. The depth sensor is very sensitive to the minor changes so that the body movements impose noise in the depth values. Previous studies on contactless respiratory concentrated solely on the still laid subjects on a surface to minimize the possible artifacts. To overcome these limitations, we low-pass filter the extracted signal. Then, a greedy self-correction algorithm is developed to correct the false detected peaks & troughs. The processed signal is validated with a simultaneous signal from a respiratory belt. This framework improved the accuracy of the signal by 24% for the subjects in a normal sitting position.
{"title":"KinRes: depth sensor noise reduction in contactless respiratory monitoring","authors":"Kaveh Bakhtiyari, J. Ziegler, H. Husain","doi":"10.1145/3154862.3154896","DOIUrl":"https://doi.org/10.1145/3154862.3154896","url":null,"abstract":"This paper proposes a novel reliable solution, named KinRes, to extract contactless respiratory signal via an IR-3D Depth sensor (Microsoft Kinect 2) on human subjects interacting with a computer. The depth sensor is very sensitive to the minor changes so that the body movements impose noise in the depth values. Previous studies on contactless respiratory concentrated solely on the still laid subjects on a surface to minimize the possible artifacts. To overcome these limitations, we low-pass filter the extracted signal. Then, a greedy self-correction algorithm is developed to correct the false detected peaks & troughs. The processed signal is validated with a simultaneous signal from a respiratory belt. This framework improved the accuracy of the signal by 24% for the subjects in a normal sitting position.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123673788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The endocrinology eConsult service at Mount Sinai Hospital, in New York City, was conceived to simplify and accelerate access to the expertise of endocrinologists. Here we detail how we designed our workflow according to input from primary care providers (PCPs). Additionally, we describe the impact of the pilot phase of our endocrinology eConsult service. In this pilot phase, providers in a Medicaid clinic and those making visits to homebound patients placed eConsult orders within the hospital's EMR using one of 18 original, disease-specific templates and one generic template. The eConsultant sent evidence-based recommendations in a response template, which included a rationale with references. As part of an ongoing quality improvement project, PCPs were asked to complete a two question closeout survey. Seventy percent of PCPs indicated that they got good advice for a new or additional course of action, and 25% answered that they were able to confirm a course of action that they already had in mind. Referral was originally contemplated, but avoided as a result of the eConsult according to 62% of respondents, exceeding rates reported at other academic institutions. Our unique emphasis on providing a detailed rationale for recommendations may have contributed to these outcomes. With a majority of respondents indicating that a formal consultation was averted, an expanded endocrine eConsult service could reduce a significant volume of unnecessary endocrine referrals, expedite more urgent visits, and reduce costs. This outcome is especially significant in light of a nationwide shortage of endocrinologists.
{"title":"Endocrine econsults improve access to care for the underserved","authors":"N. Minsky, R. Tamler","doi":"10.1145/3154862.3154940","DOIUrl":"https://doi.org/10.1145/3154862.3154940","url":null,"abstract":"The endocrinology eConsult service at Mount Sinai Hospital, in New York City, was conceived to simplify and accelerate access to the expertise of endocrinologists. Here we detail how we designed our workflow according to input from primary care providers (PCPs). Additionally, we describe the impact of the pilot phase of our endocrinology eConsult service. In this pilot phase, providers in a Medicaid clinic and those making visits to homebound patients placed eConsult orders within the hospital's EMR using one of 18 original, disease-specific templates and one generic template. The eConsultant sent evidence-based recommendations in a response template, which included a rationale with references. As part of an ongoing quality improvement project, PCPs were asked to complete a two question closeout survey. Seventy percent of PCPs indicated that they got good advice for a new or additional course of action, and 25% answered that they were able to confirm a course of action that they already had in mind. Referral was originally contemplated, but avoided as a result of the eConsult according to 62% of respondents, exceeding rates reported at other academic institutions. Our unique emphasis on providing a detailed rationale for recommendations may have contributed to these outcomes. With a majority of respondents indicating that a formal consultation was averted, an expanded endocrine eConsult service could reduce a significant volume of unnecessary endocrine referrals, expedite more urgent visits, and reduce costs. This outcome is especially significant in light of a nationwide shortage of endocrinologists.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"208 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121275607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claudia Villalonga, H. O. D. Akker, H. Hermens, L. Herrera, H. Pomares, I. Rojas, O. Valenzuela, O. Baños
Smart coaching systems are named to play a central role in both prevention and intervention strategies for behavioral change. While relevant progresses have been made in terms of automatic and continuous monitoring of behavioral aspects, e.g. amount and variety of physical activity, coaching and feedback techniques are still in an infancy stage. Current smart coaching strategies are mostly based on handcrafted messages which hardly personalize to the needs, context and preferences of each user. In order to make these recommendations more realistic, engaging and effective more flexible and sophisticated strategies are needed. This paper presents an ontology-based approach to model personalizable motivational messages for promoting healthy physical activity. The proposed ontology not only models the message intention and its components, e.g. argument, feedback or followup, but also its content, i.e. action, place, time or object required to perform the recommended activity. Through this ontology the messages can also be categorized into multiple classes, e.g. sedentary, mild or vigorous activities, and retrieved based on the preferences, needs and context of the user. Additional information not explicitly present on the messages can be inferred from the ontology by applying reasoning techniques and used to enhance the message retrieval process.
{"title":"Ontological modeling of motivational messages for physical activity coaching","authors":"Claudia Villalonga, H. O. D. Akker, H. Hermens, L. Herrera, H. Pomares, I. Rojas, O. Valenzuela, O. Baños","doi":"10.1145/3154862.3154926","DOIUrl":"https://doi.org/10.1145/3154862.3154926","url":null,"abstract":"Smart coaching systems are named to play a central role in both prevention and intervention strategies for behavioral change. While relevant progresses have been made in terms of automatic and continuous monitoring of behavioral aspects, e.g. amount and variety of physical activity, coaching and feedback techniques are still in an infancy stage. Current smart coaching strategies are mostly based on handcrafted messages which hardly personalize to the needs, context and preferences of each user. In order to make these recommendations more realistic, engaging and effective more flexible and sophisticated strategies are needed. This paper presents an ontology-based approach to model personalizable motivational messages for promoting healthy physical activity. The proposed ontology not only models the message intention and its components, e.g. argument, feedback or followup, but also its content, i.e. action, place, time or object required to perform the recommended activity. Through this ontology the messages can also be categorized into multiple classes, e.g. sedentary, mild or vigorous activities, and retrieved based on the preferences, needs and context of the user. Additional information not explicitly present on the messages can be inferred from the ontology by applying reasoning techniques and used to enhance the message retrieval process.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126930826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zilu Liang, Bernd Ploderer, Mario Alberto Chapa Martell
It is now easy to track one's sleep through consumer wearable devices like Fitbit from the comfort of one's home. However, compared to clinical measures, the data generated by such consumer devices is limited in its accuracy. The aim of this paper is to explore how users perceive accuracy issues, possible measurement errors and what can be done to address these issues. Through an interview study with 14 Fitbit users we identified three main sources of errors: (1) lack of definition of sleep metrics, (2) limitations in underlying data collection and processing mechanisms, and (3) lack of rigor in tracking approach. This paper proposes countermeasures to address these issues, both from the aspect of technological advancement and through engaging end-users more closely with their data.
{"title":"Is fitbit fit for sleep-tracking?: sources of measurement errors and proposed countermeasures","authors":"Zilu Liang, Bernd Ploderer, Mario Alberto Chapa Martell","doi":"10.1145/3154862.3154897","DOIUrl":"https://doi.org/10.1145/3154862.3154897","url":null,"abstract":"It is now easy to track one's sleep through consumer wearable devices like Fitbit from the comfort of one's home. However, compared to clinical measures, the data generated by such consumer devices is limited in its accuracy. The aim of this paper is to explore how users perceive accuracy issues, possible measurement errors and what can be done to address these issues. Through an interview study with 14 Fitbit users we identified three main sources of errors: (1) lack of definition of sleep metrics, (2) limitations in underlying data collection and processing mechanisms, and (3) lack of rigor in tracking approach. This paper proposes countermeasures to address these issues, both from the aspect of technological advancement and through engaging end-users more closely with their data.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126765192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Julie Doyle, E. Murphy, Suzanne Smith, C. Hannigan, J. Kuiper, A. Jacobs, J. Dinsmore
Multimorbidity, the presence of two or more chronic conditions, places a significant burden on health systems globally. People managing multiple chronic conditions face burdensome and complex treatment plans. Polypharmacy, the prescription of several drugs, is typical in this cohort, adding to the treatment burden and potentially resulting in dangerous drug interactions. The goal of our work is to design a medication management application for older people with multimorbidity, and those within their care ecosystem. In this paper we present findings from interviews and focus groups with 124 participants, including older adults, informal and formal carers, and healthcare professionals. We outline six design requirements and describe how our design process is grounded in a strong, theoretical behaviour change approach that will allow us to fully evaluate the effectiveness of our design for medication management for those with multimorbidity, supported by their care network.
{"title":"Addressing medication management for older people with multimorbidities: a multi-stakeholder approach","authors":"Julie Doyle, E. Murphy, Suzanne Smith, C. Hannigan, J. Kuiper, A. Jacobs, J. Dinsmore","doi":"10.1145/3154862.3154883","DOIUrl":"https://doi.org/10.1145/3154862.3154883","url":null,"abstract":"Multimorbidity, the presence of two or more chronic conditions, places a significant burden on health systems globally. People managing multiple chronic conditions face burdensome and complex treatment plans. Polypharmacy, the prescription of several drugs, is typical in this cohort, adding to the treatment burden and potentially resulting in dangerous drug interactions. The goal of our work is to design a medication management application for older people with multimorbidity, and those within their care ecosystem. In this paper we present findings from interviews and focus groups with 124 participants, including older adults, informal and formal carers, and healthcare professionals. We outline six design requirements and describe how our design process is grounded in a strong, theoretical behaviour change approach that will allow us to fully evaluate the effectiveness of our design for medication management for those with multimorbidity, supported by their care network.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123185446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heleen Rutjes, M. Willemsen, Janne van Kollenburg, S. Bogers, W. Ijsselsteijn
In the relation between patient and clinician, communication is a central aspect. In this short paper, we conceptualize patient-generated data (PGD) as a means of communication. We present a case study in which we explore the experiences of clinicians and patients with PGD. We identify and discuss some real-world trade-offs in using PGD both effectively and meaningfully in clinical practice. Our key finding is that data collection and sharing is about a lot more than the data itself, and that a process of collective meaning making is required to focus on clinically relevant information, and to ground the communication in a sufficiently shared understanding of the subjective experiences associated with objective data points.
{"title":"Benefits and costs of patient generated data, from the clinician's and patient's perspective","authors":"Heleen Rutjes, M. Willemsen, Janne van Kollenburg, S. Bogers, W. Ijsselsteijn","doi":"10.1145/3154862.3154920","DOIUrl":"https://doi.org/10.1145/3154862.3154920","url":null,"abstract":"In the relation between patient and clinician, communication is a central aspect. In this short paper, we conceptualize patient-generated data (PGD) as a means of communication. We present a case study in which we explore the experiences of clinicians and patients with PGD. We identify and discuss some real-world trade-offs in using PGD both effectively and meaningfully in clinical practice. Our key finding is that data collection and sharing is about a lot more than the data itself, and that a process of collective meaning making is required to focus on clinically relevant information, and to ground the communication in a sufficiently shared understanding of the subjective experiences associated with objective data points.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124048343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Tröger, N. Linz, J. Alexandersson, A. König, P. Robert
This paper describes a benchmark study for a lightweight and low-cost dementia screening tool. The tool is easy to administer, requires no additional experimentation material, and automatically evaluates and indicates potential subjects with dementia. The protocol foresees that subjects answer four distinct tasks, three of which are ordinary questions and one is a counting prompt. In our care use case, older people are assessed remotely via the tool, potentially even via telephone or within a daily care service routine. The assessment results are subsequently sent to professionals who initiate further steps. A machine learning classifier was trained on the French Dem@Care corpus. Solely utilizing vocal features, the classifier reaches 89% accuracy. Implications for the use case and further steps are discussed.
{"title":"Automated speech-based screening for alzheimer's disease in a care service scenario","authors":"J. Tröger, N. Linz, J. Alexandersson, A. König, P. Robert","doi":"10.1145/3154862.3154915","DOIUrl":"https://doi.org/10.1145/3154862.3154915","url":null,"abstract":"This paper describes a benchmark study for a lightweight and low-cost dementia screening tool. The tool is easy to administer, requires no additional experimentation material, and automatically evaluates and indicates potential subjects with dementia. The protocol foresees that subjects answer four distinct tasks, three of which are ordinary questions and one is a counting prompt. In our care use case, older people are assessed remotely via the tool, potentially even via telephone or within a daily care service routine. The assessment results are subsequently sent to professionals who initiate further steps. A machine learning classifier was trained on the French Dem@Care corpus. Solely utilizing vocal features, the classifier reaches 89% accuracy. Implications for the use case and further steps are discussed.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115436191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jin Kang, Jomara Bindá, Pratik Agarwal, B. Saconi, E. Choe
Despite numerous health advantages wearable health trackers could offer, tracker users often abandon their devices after a short period of time. One reason for abandonment is users' lack of identification of their trackers as an accurate reflection of who and what they are (i.e., sense of identity). In this study, we examine the role of cosmetic customization (i.e., a modification of a given product's presentation) of a wearable health tracker in increasing one's sense of identity. Furthermore, we explore if one's sense of identity can explain the relationship between cosmetic customization and user engagement (assessed by attitude, exercise intention, and sense of attachment) with a wearable tracker. We conducted a between-subjects online experiment and found that individuals presented with a high level of cosmetic customization features experienced a higher sense of identity with a wearable health tracker, which in turn was associated with more favorable attitude, higher exercise intention, and greater sense of attachment towards the tracker than individuals presented with a low level of cosmetic customization features. Based on the study results, we recommend the designers of wearable health trackers to provide users with salient and recognizable cosmetic customization features so that users can establish a good "identity fit" with their tracker.
{"title":"Fostering user engagement: improving sense of identity through cosmetic customization in wearable trackers","authors":"Jin Kang, Jomara Bindá, Pratik Agarwal, B. Saconi, E. Choe","doi":"10.1145/3154862.3154878","DOIUrl":"https://doi.org/10.1145/3154862.3154878","url":null,"abstract":"Despite numerous health advantages wearable health trackers could offer, tracker users often abandon their devices after a short period of time. One reason for abandonment is users' lack of identification of their trackers as an accurate reflection of who and what they are (i.e., sense of identity). In this study, we examine the role of cosmetic customization (i.e., a modification of a given product's presentation) of a wearable health tracker in increasing one's sense of identity. Furthermore, we explore if one's sense of identity can explain the relationship between cosmetic customization and user engagement (assessed by attitude, exercise intention, and sense of attachment) with a wearable tracker. We conducted a between-subjects online experiment and found that individuals presented with a high level of cosmetic customization features experienced a higher sense of identity with a wearable health tracker, which in turn was associated with more favorable attitude, higher exercise intention, and greater sense of attachment towards the tracker than individuals presented with a low level of cosmetic customization features. Based on the study results, we recommend the designers of wearable health trackers to provide users with salient and recognizable cosmetic customization features so that users can establish a good \"identity fit\" with their tracker.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115492640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Ferrario, W. Simm, A. Gradinar, S. Forshaw, M. T. Smith, Thomas Lee, Ian C. Smith, J. Whittle
Automated passive sensing applications and self-reported smart diaries seem to hold promise for the management of anxiety in autism and other mental health conditions. However, passive sensing often struggles with noisy data, ambiguous feedback and weak user agency over the device, whilst self-reporting relies on user-entered data which can be time consuming and cognitively demanding. To address these limitations, we explore a different approach, whereby individuals consciously actuate personal data capture and are in control of it at all times; yet, the interaction solely involves clicking a button, thus avoiding cognitive overload whilst supporting immediate reflection. We call this approach intentive computing. Through our initial investigations we found that conscious interactions cannot only provide real-time relief in anxiety management, but can also function as memory anchors irrespective of the content captured and even prior to data visualization.
{"title":"Computing and mental health: intentionality and reflection at the click of a button","authors":"M. Ferrario, W. Simm, A. Gradinar, S. Forshaw, M. T. Smith, Thomas Lee, Ian C. Smith, J. Whittle","doi":"10.1145/3154862.3154877","DOIUrl":"https://doi.org/10.1145/3154862.3154877","url":null,"abstract":"Automated passive sensing applications and self-reported smart diaries seem to hold promise for the management of anxiety in autism and other mental health conditions. However, passive sensing often struggles with noisy data, ambiguous feedback and weak user agency over the device, whilst self-reporting relies on user-entered data which can be time consuming and cognitively demanding. To address these limitations, we explore a different approach, whereby individuals consciously actuate personal data capture and are in control of it at all times; yet, the interaction solely involves clicking a button, thus avoiding cognitive overload whilst supporting immediate reflection. We call this approach intentive computing. Through our initial investigations we found that conscious interactions cannot only provide real-time relief in anxiety management, but can also function as memory anchors irrespective of the content captured and even prior to data visualization.","PeriodicalId":200810,"journal":{"name":"Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122690752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：