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SCH: Acoustic Sensing-Based Wearable system for Monitoring Social Dysfunction in Schizophrenia

SCH: Acoustic Sensing-Based Wearable system for Monitoring Social Dysfunction in Schizophrenia
SCH:基于声学传感的可穿戴系统,用于监测精神分裂症的社交功能障碍
批准号:
10440392
负责人:
JIE XIONG
金额:
$27.54万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-23 至 2024-06-30

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中文摘要
翻译
精神分裂症是一种严重的精神障碍,会影响一个人的思维,感觉和行为。是 与日常社会行为的微妙异常有关,也是导致 残疾在美国。不幸的是,人们对现实社会中的异常情况知之甚少。 精神分裂症患者的功能,他们的异常如何与临床症状相关, 随着时间的推移,作为治疗干预的结果。现实世界对个人的评估 空间--一个人在社会交往中与其他人保持的物理距离--可以用来 开发和有效地评估精神分裂症的潜在治疗方法,并帮助改善患者的日常生活, 日功能。这项研究的目标是客观地量化现实世界中的社会互动量 以及精神分裂症患者与他人保持的物理距离。具体研究目标 包括:1)设计并实现了一种颈戴式设备,该设备采用声学信号来检测人体 患者接触的目标。2)设计一种方法,同时测量 患者和多个目标在2厘米的精度水平与超声波。3)探索独特的标记 社会功能在健康个体和精神分裂症患者中的作用, 空间信息和其他多维背景和行为信息,以及4)开发一个 算法,该算法从所获得的数据中提取相关特征,该相关特征可用于评估 社会动机与精神分裂症患者症状严重程度的关系我们认为, 将精神分裂症的治疗推向一个植根于客观测量和表现的科学过程 在现实世界中,这将有助于该领域的重大范式转变。更具体地说, 这项拟议中的研究--如果成功的话--将改变对精神分裂症的理解和治疗, 打开了一扇新的大门,通往以前未探索的数据集,并可能带来新的发展, 个性化的疾病管理,这与国家精神疾病研究所的使命是一致的。 健康 相关性(见说明): 个人空间的真实世界评估可用于开发和评估潜在的治疗方法, 精神分裂症,并帮助改善患者的日常功能。这项研究的目的是客观地量化 现实世界中的社交互动量以及与他人保持的物理距离, 精神分裂症拟议的研究将打开一扇新的大门,通往以前未探索的数据集和新的 精神分裂症的个性化疾病管理的发展。
英文摘要
Schizophrenia is a severe mental disorder that affects how a person thinks, feels, and behaves. It is associated with subtle abnormalities in day-to-day social behaviors and one of the leading causes of disability in the United States. Unfortunately, little is known about the abnormalities in real-world social functioning in individuals with schizophrenia, how their abnormalities correlate with clinical symptoms and progress over time as a consequence of therapeutic interventions. The real-world assessment of personal space - the physical distance that one maintains from others during social interactions - can be used to develop and efficiently evaluate potential treatments for schizophrenia and help improve patients' day-to- day functioning. The goal of this study is to objectively quantify the amount of real-world social interactions and the physical distance maintained from others in individuals with schizophrenia. Specific research aims include: 1) Design and implement a neck-worn device that employs acoustic signals to detect human targets that the patient interacts with. 2) Design a method to simultaneously measure the distance between the patient and multiple targets at an accuracy level of 2 cm with ultrasound. 3) Explore the unique markers of social functioning in healthy individuals and patients with schizophrenia by integrating the personal space information and other multi-dimensional contextual and behavioral information, and 4) Develop an algorithm that extracts relevant features from the obtained data that can be used to assess the level of social motivation and the severity of symptoms in schizophrenia patients. We believe that progress towards moving schizophrenia treatment to a scientific process rooted in objective measurement and performance in the real-world would contribute to a major paradigm shift in the field. More specifically, the outcomes of the proposed research - if successful - will transform the understanding and treatment of schizophrenia, opening a new door leading to previously unexplored datasets and potentially new development of personalized disease management, which well-aligns with the mission of the National Institute of Mental Health. RELEVANCE (See Instructions): The real-world assessment of personal space can be used to develop and evaluate potential treatments for schizophrenia and help improve patients' day-to-day functioning. The goal of this study is to objectively quantify the amount of real-world social interactions and the physical distance maintained from others in individuals with schizophrenia. The proposed study will open a new door leading to previously unexplored datasets and new development of personalized disease management in schizophrenia.
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SCH: Acoustic Sensing-Based Wearable system for Monitoring Social Dysfunction in Schizophrenia
SCH: Acoustic Sensing-Based Wearable system for Monitoring Social Dysfunction in Schizophrenia
SCH: Acoustic Sensing-Based Wearable system for Monitoring Social Dysfunction in Schizophrenia
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