Literature DB >> 26660691

KinoHaptics: An Automated, Wearable, Haptic Assisted, Physio-therapeutic System for Post-surgery Rehabilitation and Self-care.

Vijay Rajanna1, Patrick Vo2, Jerry Barth3, Matthew Mjelde4, Trevor Grey5, Cassandra Oduola6, Tracy Hammond7.   

Abstract

A carefully planned, structured, and supervised physiotherapy program, following a surgery, is crucial for the successful diagnosis of physical injuries. Nearly 50 % of the surgeries fail due to unsupervised, and erroneous physiotherapy. The demand for a physiotherapist for an extended period is expensive to afford, and sometimes inaccessible. Researchers have tried to leverage the advancements in wearable sensors and motion tracking by building affordable, automated, physio-therapeutic systems that direct a physiotherapy session by providing audio-visual feedback on patient's performance. There are many aspects of automated physiotherapy program which are yet to be addressed by the existing systems: a wide classification of patients' physiological conditions to be diagnosed, multiple demographics of the patients (blind, deaf, etc.), and the need to pursue patients to adopt the system for an extended period for self-care. In our research, we have tried to address these aspects by building a health behavior change support system called KinoHaptics, for post-surgery rehabilitation. KinoHaptics is an automated, wearable, haptic assisted, physio-therapeutic system that can be used by a wide variety of demographics and for various physiological conditions of the patients. The system provides rich and accurate vibro-haptic feedback that can be felt by the user, irrespective of the physiological limitations. KinoHaptics is built to ensure that no injuries are induced during the rehabilitation period. The persuasive nature of the system allows for personal goal-setting, progress tracking, and most importantly life-style compatibility. The system was evaluated under laboratory conditions, involving 14 users. Results show that KinoHaptics is highly convenient to use, and the vibro-haptic feedback is intuitive, accurate, and has shown to prevent accidental injuries. Also, results show that KinoHaptics is persuasive in nature as it supports behavior change and habit building. The successful acceptance of KinoHaptics, an automated, wearable, haptic assisted, physio-therapeutic system proves the need and future-scope of automated physio-therapeutic systems for self-care and behavior change. It also proves that such systems incorporated with vibro-haptic feedback encourage strong adherence to the physiotherapy program; can have profound impact on the physiotherapy experience resulting in higher acceptance rate.

Entities:  

Keywords:  Haptics; Health behavior change support system; Kinect; Medical informatics; Persuasive system; Persuasive technology; Physiotherapy; Self-care; Ubiquitous systems; Vibrotactile feedback; Wearable computing

Mesh:

Year:  2015        PMID: 26660691     DOI: 10.1007/s10916-015-0391-3

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  9 in total

1.  Joint angle estimation in rehabilitation with inertial sensors and its integration with Kinect.

Authors:  Antonio Padilha Lanari Bó; Mitsuhiro Hayashibe; Philippe Poignet
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

2.  Development and evaluation of low cost game-based balance rehabilitation tool using the Microsoft Kinect sensor.

Authors:  Belinda Lange; Chien-Yen Chang; Evan Suma; Bradley Newman; Albert Skip Rizzo; Mark Bolas
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

3.  Integrating haptic-tactile feedback into a video-capture-based virtual environment for rehabilitation.

Authors:  Uri Feintuch; Liat Raz; Jane Hwang; Naomi Josman; Noomi Katz; Rachel Kizony; Debbie Rand; Albert Skip Rizzo; Meir Shahar; Jang Yongseok; Patrice L Tamar Weiss
Journal:  Cyberpsychol Behav       Date:  2006-04

4.  A Kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities.

Authors:  Yao-Jen Chang; Shu-Fang Chen; Jun-Da Huang
Journal:  Res Dev Disabil       Date:  2011-07-23

5.  Video-capture virtual reality system for patients with paraplegic spinal cord injury.

Authors:  Rachel Kizony; Liat Raz; Noomi Katz; Harold Weingarden; Patrice L Tamar Weiss
Journal:  J Rehabil Res Dev       Date:  2005 Sep-Oct

6.  Follow-up of children with cerebral palsy after selective posterior rhizotomy with intensive physiotherapy or physiotherapy alone.

Authors:  H Mäenpää; T Salokorpi; R Jaakkola; G Blomstedt; K Sainio; J Merikanto; L von Wendt
Journal:  Neuropediatrics       Date:  2003-04       Impact factor: 1.947

7.  Quality of life in spinal cord injured individuals and their caregivers during the initial 6 months following rehabilitation.

Authors:  Kathleen T Lucke; Holly Coccia; Joseph S Goode; Joseph F Lucke
Journal:  Qual Life Res       Date:  2004-02       Impact factor: 4.147

8.  Video capture virtual reality as a flexible and effective rehabilitation tool.

Authors:  Patrice L Weiss; Debbie Rand; Noomi Katz; Rachel Kizony
Journal:  J Neuroeng Rehabil       Date:  2004-12-20       Impact factor: 4.262

9.  Motor rehabilitation using virtual reality.

Authors:  Heidi Sveistrup
Journal:  J Neuroeng Rehabil       Date:  2004-12-10       Impact factor: 4.262

  9 in total
  5 in total

Review 1.  A Review of Simulators with Haptic Devices for Medical Training.

Authors:  David Escobar-Castillejos; Julieta Noguez; Luis Neri; Alejandra Magana; Bedrich Benes
Journal:  J Med Syst       Date:  2016-02-18       Impact factor: 4.460

Review 2.  Monitoring Physical Activity with Wearable Technologies.

Authors:  Figen Tokuçoğlu
Journal:  Noro Psikiyatr Ars       Date:  2018       Impact factor: 1.339

Review 3.  Features and Effects of Information Technology-Based Interventions to Improve Self-Management in Chronic Kidney Disease Patients: a Systematic Review of the Literature.

Authors:  Fateme Rangraz Jeddi; Ehsan Nabovati; Shahrzad Amirazodi
Journal:  J Med Syst       Date:  2017-09-18       Impact factor: 4.460

4.  The adaptation of GDL motion recognition system to sport and rehabilitation techniques analysis.

Authors:  Tomasz Hachaj; Marek R Ogiela
Journal:  J Med Syst       Date:  2016-04-22       Impact factor: 4.460

Review 5.  Precise hepatectomy in the intelligent digital era.

Authors:  Hao Chen; Yuchen He; Weidong Jia
Journal:  Int J Biol Sci       Date:  2020-01-01       Impact factor: 6.580

  5 in total

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