Musically Informed Sonification for Chronic Pain Rehabilitation

Newbold, Joseph W.; Bianchi-Berthouze, Nadia; Gold, Nicolas; Tajadura‐Jiménez, Ana; Williams, Amanda C de C

doi:10.1145/2858036.2858302

Cited by 37 publications

(82 citation statements)

References 19 publications

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“…)[4, 40, 44, 48, 50, 60, 63–65, 72, 75, 77, 79]3D model of limb or human body or structure[37, 41, 43, 46, 53, 56, 68–70]Game[42, 45, 59, 62, 66, 67]HapticVibrotactile display[51, 52, 57, 61]AuditoryMusical pattern[78]Multi-modal[3, 38, 39, 47, 49, 54, 55, 58, 71, 73, 74, 76] …”

Section: Resultsmentioning

confidence: 99%

Interactive wearable systems for upper body rehabilitation: a systematic review

Wang

Markopoulos

et al. 2017

J NeuroEngineering Rehabil

271

205

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BackgroundThe development of interactive rehabilitation technologies which rely on wearable-sensing for upper body rehabilitation is attracting increasing research interest. This paper reviews related research with the aim: 1) To inventory and classify interactive wearable systems for movement and posture monitoring during upper body rehabilitation, regarding the sensing technology, system measurements and feedback conditions; 2) To gauge the wearability of the wearable systems; 3) To inventory the availability of clinical evidence supporting the effectiveness of related technologies.MethodA systematic literature search was conducted in the following search engines: PubMed, ACM, Scopus and IEEE (January 2010–April 2016).ResultsForty-five papers were included and discussed in a new cuboid taxonomy which consists of 3 dimensions: sensing technology, feedback modalities and system measurements. Wearable sensor systems were developed for persons in: 1) Neuro-rehabilitation: stroke (n = 21), spinal cord injury (n = 1), cerebral palsy (n = 2), Alzheimer (n = 1); 2) Musculoskeletal impairment: ligament rehabilitation (n = 1), arthritis (n = 1), frozen shoulder (n = 1), bones trauma (n = 1); 3) Others: chronic pulmonary obstructive disease (n = 1), chronic pain rehabilitation (n = 1) and other general rehabilitation (n = 14). Accelerometers and inertial measurement units (IMU) are the most frequently used technologies (84% of the papers). They are mostly used in multiple sensor configurations to measure upper limb kinematics and/or trunk posture. Sensors are placed mostly on the trunk, upper arm, the forearm, the wrist, and the finger. Typically sensors are attachable rather than embedded in wearable devices and garments; although studies that embed and integrate sensors are increasing in the last 4 years. 16 studies applied knowledge of result (KR) feedback, 14 studies applied knowledge of performance (KP) feedback and 15 studies applied both in various modalities. 16 studies have conducted their evaluation with patients and reported usability tests, while only three of them conducted clinical trials including one randomized clinical trial.ConclusionsThis review has shown that wearable systems are used mostly for the monitoring and provision of feedback on posture and upper extremity movements in stroke rehabilitation. The results indicated that accelerometers and IMUs are the most frequently used sensors, in most cases attached to the body through ad hoc contraptions for the purpose of improving range of motion and movement performance during upper body rehabilitation. Systems featuring sensors embedded in wearable appliances or garments are only beginning to emerge. Similarly, clinical evaluations are scarce and are further needed to provide evidence on effectiveness and pave the path towards implementation in clinical settings.

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Section: Resultsmentioning

confidence: 99%

Interactive wearable systems for upper body rehabilitation: a systematic review

Wang

Markopoulos

et al. 2017

J NeuroEngineering Rehabil

271

205

View full text Add to dashboard Cite

show abstract

“…All 12 of the articles presented systems that engaged endusers in biofeedback loops. Input included: breathing [63,166,169]; heart rate [91,103,153]; electroencephalography (EEG) [72]; bodily movements [119]; indoor-positioning [88]; electro-dermal activity (EDA) [110]; one of the biofeedback systems was more of a toolkit, allowing many different biosignals as input [113]. Apart from the diversity in biosignal input, there was also a richness in outputs that these biofeedback systems produced.…”

Section: Analysis Of Reviewed Work System Functionsmentioning

confidence: 99%

HCI and Affective Health

Sanches

Janson

Karpashevich

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

144

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In the last decade, the number of articles on HCI and health has increased dramatically. We extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of SIGCHI conference proceedings. 72 of these were published in the last two years. A systematic analysis of this growing body of literature revealed that most innovation happens in automated diagnosis, and self-tracking, although there are innovative ideas in tangible interfaces. We noted an overemphasis on data production without consideration of how it leads to fruitful interventions. Moreover, we see a need to promote ethical practices for involvement of people living with affective disorders. Finally, although only 16 studies evaluate technologies in a clinical context, several forms of support and intervention illustrate how rich insights are gained from evaluations with real patients. Our findings highlight potential for growth in the design space of affective health technologies.

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“…In addition, we did not inquire of participants after the experiment if they suspected that the real intention of the study was to manipulate their breathing pattern. In the future, these 6 Experiment blocks with less than two minutes of valid IBIs (one data point per each condition) were excluded from this analysis. 7 steps will be taken to ensure that analyzed data is only from participants unaware of the the music presentation intention.…”

Section: B Limitationsmentioning

confidence: 99%

Engineering Music to Slow Breathing and Invite Relaxed Physiology

Leslie

Ghandeharioun

Zhou

et al. 2019

2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)

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We engineered an interactive music system that influences a user's breathing rate to induce a relaxation response. This system generates ambient music containing periodic shifts in loudness that are determined by the user's own breathing patterns. We evaluated the efficacy of this music intervention for participants who were engaged in an attention-demanding task, and thus explicitly not focusing on their breathing or on listening to the music. We measured breathing patterns in addition to multiple peripheral and cortical indicators of physiological arousal while users experienced three different interaction designs: (1) a "Fixed Tempo" amplitude modulation rate at six beats per minute; (2) a "Personalized Tempo" modulation rate fixed at 75% of each individual's breathing rate baseline, and (3) a "Personalized Envelope" design in which the amplitude modulation matches each individual's breathing pattern in real-time. Our results revealed that each interactive music design slowed down breathing rates, with the "Personalized Tempo" design having the largest effect, one that was more significant than the non-personalized design. The physiological arousal indicators (electrodermal activity, heart rate, and slow cortical potentials measured in EEG) showed concomitant reductions, suggesting that slowing users' breathing rates shifted them towards a more calmed state. These results suggest that interactive music incorporating biometric data may have greater effects on physiology than traditional recorded music.

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Musically Informed Sonification for Chronic Pain Rehabilitation

Cited by 37 publications

References 19 publications

Interactive wearable systems for upper body rehabilitation: a systematic review

Interactive wearable systems for upper body rehabilitation: a systematic review

HCI and Affective Health

Engineering Music to Slow Breathing and Invite Relaxed Physiology

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