Andrea Bandini1, Silvia Orlandi2, Fabio Giovannelli3, Andrea Felici2, Massimo Cincotta3, Daniela Clemente4, Paola Vanni3, Gaetano Zaccara3, Claudia Manfredi2. 1. Department of Information Engineering, Università degli Studi di Firenze, Firenze, Italy; Department of Electrical, Electronic and Information Engineering (DEI) "Guglielmo Marconi", Università di Bologna, Bologna, Italy. Electronic address: andrea.bandini@unifi.it. 2. Department of Information Engineering, Università degli Studi di Firenze, Firenze, Italy. 3. Unit of Neurology, Florence Health Authority, Ospedale "Nuovo San Giovanni di Dio", Firenze, Italy. 4. Private Practice, Firenze, Italy.
Abstract
OBJECTIVES: A large percentage of patients with Parkinson's disease have hypokinetic dysarthria, exhibiting reduced peak velocities of jaw and lips during speech. This limitation implies a reduction of speech intelligibility for such patients. This work aims at testing a cost-effective markerless approach for assessing kinematic parameters of hypokinetic dysarthria. STUDY DESIGN: Kinematic parameters of the lips are calculated during a syllable repetition task from 14 Parkinsonian patients and 14 age-matched control subjects. METHODS: Combining color and depth frames provided by a depth sensor (Microsoft Kinect), we computed the three-dimensional coordinates of main facial points. The peak velocities and accelerations of the lower lip during a syllable repetition task are considered to compare the two groups. RESULTS: Results show that Parkinsonian patients exhibit reduced peak velocities of the lower lip, both during the opening and the closing phase of the mouth. In addition, peak values of acceleration are reduced in Parkinsonian patients, although with significant differences only in the opening phase with respect to healthy control subjects. CONCLUSIONS: The novel contribution of this work is the implementation of an entirely markerless technique capable to detect signs of hypokinetic dysarthria for the analysis of articulatory movements during speech. Although a large number of Parkinsonian patients have hypokinetic dysarthria, only a small percentage of them undergoes speech therapy to increase their articulatory movements. The system proposed here could be easily implemented in a home environment, thus, increasing the percentage of patients who can perform speech rehabilitation at home. Copyright Â
OBJECTIVES: A large percentage of patients with Parkinson's disease have hypokinetic dysarthria, exhibiting reduced peak velocities of jaw and lips during speech. This limitation implies a reduction of speech intelligibility for such patients. This work aims at testing a cost-effective markerless approach for assessing kinematic parameters of hypokinetic dysarthria. STUDY DESIGN: Kinematic parameters of the lips are calculated during a syllable repetition task from 14 Parkinsonianpatients and 14 age-matched control subjects. METHODS: Combining color and depth frames provided by a depth sensor (Microsoft Kinect), we computed the three-dimensional coordinates of main facial points. The peak velocities and accelerations of the lower lip during a syllable repetition task are considered to compare the two groups. RESULTS: Results show that Parkinsonianpatients exhibit reduced peak velocities of the lower lip, both during the opening and the closing phase of the mouth. In addition, peak values of acceleration are reduced in Parkinsonianpatients, although with significant differences only in the opening phase with respect to healthy control subjects. CONCLUSIONS: The novel contribution of this work is the implementation of an entirely markerless technique capable to detect signs of hypokinetic dysarthria for the analysis of articulatory movements during speech. Although a large number of Parkinsonianpatients have hypokinetic dysarthria, only a small percentage of them undergoes speech therapy to increase their articulatory movements. The system proposed here could be easily implemented in a home environment, thus, increasing the percentage of patients who can perform speech rehabilitation at home. Copyright Â
Authors: Andrea Bandini; Jordan R Green; Jun Wang; Thomas F Campbell; Lorne Zinman; Yana Yunusova Journal: J Speech Lang Hear Res Date: 2018-05-17 Impact factor: 2.297
Authors: Andrea Bandini; Sia Rezaei; Diego L Guarin; Madhura Kulkarni; Derrick Lim; Mark I Boulos; Lorne Zinman; Yana Yunusova; Babak Taati Journal: IEEE J Biomed Health Inform Date: 2021-04-06 Impact factor: 5.772